Статті в журналах: "Angle of sideslip"

1

Ko, Arim, Kyoungsik Chang, Dong-Jin Sheen, Young-Hee Jo, and Ho Joon Shim. "CFD Analysis of the Sideslip Angle Effect around a BWB Type Configuration." International Journal of Aerospace Engineering 2019 (April 23, 2019): 1–14. http://dx.doi.org/10.1155/2019/4959265.

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In this study, we conducted numerical simulations for a nonslender BWB type planform with a rounded leading edge and span of 2.0 m to analyze the effect of the sideslip angle on the planform at a freestream velocity of 60 m/s. The Reynolds number based on the mean chord length was 2.9×106, and we considered the angle of attack ranging from -4° to 16° and sideslip angles up to 20°. We used an unstructured mesh with a prism layer for the boundary layer with 1.11×107 grid points, and the k−ω SST turbulence model. We analyzed force and moment coefficients with respect to variation of angle of attack and sideslip angles. Side force and rolling/yawing moment coefficients had highly nonlinear relationships with the sideslip angle while lift and drag coefficients were not significantly affected. We interpreted the mechanism of these aerodynamic characteristics based on pressure and skin friction contours. Suction pressure near the leading edge had a marked effect on the pitching and rolling moment. We identified five flow types on the blunt leading edge swept wing by skin friction lines and off-body streamlines at a high angle of attack and sideslip angles.

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2

Popowski, Stanisław, and Witold Dąbrowski. "MEASUREMENT AND ESTIMATION OF THE ANGLE OF ATTACK AND THE ANGLE OF SIDESLIP." Aviation 19, no. 1 (March 30, 2015): 19–24. http://dx.doi.org/10.3846/16487788.2015.1015293.

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The paper presents issues concerning the estimation of the angle of attack and the angle of sideslip on a flying object board. Angle of attack and sideslip estimation methods which are based on measurements of linear velocity components of an object with the Earth’s coordinates and on attitude angles of the object are presented. Both of these measurements originate from the inertial navigation system, and velocity measurement is obtained from the satellite navigation system. The idea of applying inertial and satellite navigation for the estimation of attack and sideslip angles is presented. Practical comparison of these estimation methods has been conducted based on logged parameters of a flight onboard a Mewa aircraft. Development proposals for these methods are presented as well.

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3

Fan, Xiao Bin, and Pan Deng. "Study of Vehicle Sideslip Angle Real-Time Estimation Method." Advanced Materials Research 846-847 (November 2013): 26–29. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.26.

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In the vehicle stability control and other active safety systems, vehicle sideslip angle real-time estimation is necessary. However, the direct measurement of sideslip angle is more difficult or too costly, so it is often used in estimating methods. The vehicle sideslip angle of closed-loop Luenberger observer and Kalman observer were constructed based on two degrees of freedom bicycle model, as well as the direct integration method for large sideslip angle conditions. The comparative study showed that Kalman filtering estimation method and Luenberger estimation methods have better estimation accuracy in small slip angle range.

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4

Wei, Wang, Bei Shaoyi, Zhang Lanchun, Zhu Kai, Wang Yongzhi, and Hang Weixing. "Vehicle Sideslip Angle Estimation Based on General Regression Neural Network." Mathematical Problems in Engineering 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/3107910.

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Aiming at the accuracy of estimation of vehicle’s mass center sideslip angle, an estimation method of slip angle based on general regression neural network (GRNN) and driver-vehicle closed-loop system has been proposed: regarding vehicle’s sideslip angle as time series mapping of yaw speed and lateral acceleration; using homogeneous design project to optimize the training samples; building the mapping relationship among sideslip angle, yaw speed, and lateral acceleration; at the same time, using experimental method to measure vehicle’s sideslip angle to verify validity of this method. Estimation results of neural network and real vehicle experiment show the same changing tendency. The mean of error is within 10% of test result’s amplitude. Results show GRNN can estimate vehicle’s sideslip angle correctly. It can offer a reference to the application of vehicle’s stability control system on vehicle’s state estimation.

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5

FIGAT, Marcin, and Zdobysław GORAJ. "ANALYSIS OF STABILITY DERIVATIVES IMPORTANT TO RECOVERY FROM SPIN." Aviation 20, no. 2 (June 16, 2016): 48–52. http://dx.doi.org/10.3846/16487788.2016.1195060.

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This paper describes the numerical analysis of light aircraft stability derivatives in a wide range of angles of attack, important for recovery from spin. Stability derivatives versus angle of attack and sideslip were calculated using a CFD software, based on Euler equation combined with boundary layer equations. The analysis was performed up to the 40 deg of angle of attack and up to 25 deg of sideslip.

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6

Singh, Kanwar Bharat. "Virtual sensor for real-time estimation of the vehicle sideslip angle." Sensor Review 40, no. 2 (July 29, 2019): 255–72. http://dx.doi.org/10.1108/sr-11-2018-0300.

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Purpose The vehicle sideslip angle is an important state of vehicle lateral dynamics and its knowledge is crucial for the successful implementation of advanced driver-assistance systems. Measuring the vehicle sideslip angle on a production vehicle is challenging because of the exorbitant price of a physical sensor. This paper aims to present a novel framework for virtually sensing/estimating the vehicle sideslip angle. The desired level of accuracy for the estimator is to be within +/− 0.2 degree of the actual sideslip angle of the vehicle. This will make the precision of the proposed estimator at par with expensive commercially available sensors used for physically measuring the vehicle sideslip angle. Design/methodology/approach The proposed estimator uses an adaptive tire model in conjunction with a model-based observer. The performance of the estimator is evaluated through experimental tests on a rear-wheel drive vehicle. Findings Detailed experimental results show that the developed system can reliably estimate the vehicle sideslip angle during both steady state and transient maneuvers, within the desired accuracy levels. Originality/value This paper presents a novel framework for vehicle sideslip angle estimation. The presented framework combines an adaptive tire model, an unscented Kalman filter-based axle force observer and data from tire mounted sensors. Tire model adaptation is achieved by making extensions to the magic formula, by accounting for variations in the tire inflation pressure, load, tread-depth and temperature. Predictions with the adapted tire model were validated by running experiments on the Flat-Trac® machine. The benefits of using an adaptive tire model for sideslip angle estimation are demonstrated through experimental tests. The performance of the observer is satisfactory, in both transient and steady state maneuvers. Future work will focus on measuring tire slip angle and road friction information using tire mounted sensors and using that information to further enhance the robustness of the vehicle sideslip angle observer.

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7

Huang, Yanwei, Xiaocheng Shi, Wenchao Huang, and Shaobin Chen. "Internal Model Control-Based Observer for the Sideslip Angle of an Unmanned Surface Vehicle." Journal of Marine Science and Engineering 10, no. 4 (March 26, 2022): 470. http://dx.doi.org/10.3390/jmse10040470.

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Since the sideslip angle is often ignored or simplified in the process of path following of unmanned surface vehicle by using the line-of-sight (LOS) guidance law because of its fast change and the difficulty of measurement, an observer was proposed by internal model control (IMC) to quickly estimate the sideslip angle in the LOS guidance law. First, a prediction model was established for the tracking error, and a state space model for prediction errors was constructed as an internal model. With the introduction of the auxiliary variables, a new augmented system was set up for a state space model of the prediction errors. Then, the sideslip angle observer was designed by the theory of state feedback with the feature of the control law of a proportional-integral type. Theoretically, the stability of the system was proved based on the Lyapunov criteria. A simulation and experiment verified the effectiveness of the proposed sideslip angle observer in improving the path-following accuracy. The results show that the IMC-based observer introduces a proportional term of tracking error that is not considered by other observers, which is easier to implement and adjust, and has a faster response speed and a smaller steady-state error for the sideslip angle. In addition, the assumption of a small sideslip angle is not introduced in the design process, so the proposed observer provides an accurate estimation method for a large sideslip angle.

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8

Kryvokhatko, Illia. "Aerodynamic moment characteristics of tandem-scheme aircraft." MATEC Web of Conferences 304 (2019): 02015. http://dx.doi.org/10.1051/matecconf/201930402015.

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Aerodynamic interference between forward and back wings of tandem-scheme aircraft significantly affects its pitch and roll moments. The interference increases roll stability in a narrow range of sideslip angles; there is a kink on the dependence of roll moment coefficient versus sideslip angle (that is not observed for conventional-scheme aircraft). Directional stability is decreased by a dihedral angle of forward wings and winglets on them but is increased by the same factors for back wings. If back wings’ bending is significant, then aerodynamic interference may affect directional stability as well. The vortex system of tandem-wings at a sideslip angle was modeled incorrectly by the used CFD method (solving RANS), and further research is needed. The analytical and experimental methods show a good agreement concerning moment characteristics.

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9

Singh, Kanwar Bharat. "Vehicle Sideslip Angle Estimation Based on Tire Model Adaptation." Electronics 8, no. 2 (February 9, 2019): 199. http://dx.doi.org/10.3390/electronics8020199.

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Information about the vehicle sideslip angle is crucial for the successful implementation of advanced stability control systems. In production vehicles, sideslip angle is difficult to measure within the desired accuracy level because of high costs and other associated impracticalities. This paper presents a novel framework for estimation of the vehicle sideslip angle. The proposed algorithm utilizes an adaptive tire model in conjunction with a model-based observer. The proposed adaptive tire model is capable of coping with changes to the tire operating conditions. More specifically, extensions have been made to Pacejka's Magic Formula expressions for the tire cornering stiffness and peak grip level. These model extensions account for variations in the tire inflation pressure, load, tread depth and temperature. The vehicle sideslip estimation algorithm is evaluated through experimental tests done on a rear wheel drive (RWD) vehicle. Detailed experimental results show that the developed system can reliably estimate the vehicle sideslip angle during both steady state and transient maneuvers.

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10

Covaciu, Dinu, Ion Preda, Dragoş Sorin Dima, and Anghel Chiru. "Study on the Possibility to Estimate the Vehicle Side Slip Using Two Independent GPS Receivers." Applied Mechanics and Materials 822 (January 2016): 321–30. http://dx.doi.org/10.4028/www.scientific.net/amm.822.321.

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Slip angle is the difference between the direction a vehicle is travelling and the longitudinal plane of the vehicle body. Knowing vehicle sideslip angle accurately is critical for active safety systems such as Electronic Stability Program (ESP). Vehicle sideslip angle can be measured using optical speed sensors, inertial sensors and/or dual-antenna GPS receivers. These systems are expensive and their use is limited for many users. The goal of this paper is to analyze the possibility to estimate the vehicle sideslip angle, in real-time, by using two low-cost single-antenna GPS receivers.

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11

Schettini, Francesco, Gianpietro Di Rito, and Eugenio Denti. "Aircraft flow angles calibration via observed-based wind estimation." Aircraft Engineering and Aerospace Technology 91, no. 7 (July 8, 2019): 1033–38. http://dx.doi.org/10.1108/aeat-06-2017-0145.

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Purpose This paper aims to propose a novel approach, in which the reference data for the flow angles calibration are obtained by using measurements coming from an inertial navigation system and an air data sensor. Design/methodology/approach This is obtained by using the Kalman filter theory for the evaluation of the reference angle-of-attack and angle-of-sideslip. Findings The designed Kalman filter has been implemented in Matlab/Simulink and validated using flight data coming from two very different aircraft, the Piaggio Aerospace P1HH medium altitude long endurance unmanned aerial system and the Alenia-Aermacchi M346 Master™ transonic trainer. This paper illustrates some results where the filter satisfactory behaviour is verified by comparing the filter outputs with the data coming from high-accuracy nose-boom vanes. Practical implications The methodology aims to lower the calibration costs of the air data systems of an advanced aircraft. Originality/value The calibration of air-data systems for the evaluation of the flow angles is based on the availability of high-accuracy reference measurements of angle-of-attack and angle-of-sideslip. Typically, these are obtained by auxiliary sensors directly providing the reference angles (e.g. nose-boom vanes). The proposed methodology evaluates the reference angle-of-attack and angle-of-sideslip by analytically reconstructing them using calibrated airspeed measurements and inertial data.

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12

Zhang, Ping Xia, Li Gao, and Yong Qiang Zhu. "The Steering Performance Analysis of Multi-Axle Vehicle Based on Sideslip Angle Control Strategy." Applied Mechanics and Materials 701-702 (December 2014): 799–802. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.799.

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Because there are several axles in multi-axle vehicle, steering controlling is very complex. It is proposed to use the front wheel steering angle and D as input controlling variables, and to realize centroid sideslip angle control. A five-axle vehicle model was built with ADAMS software, and the control strategy was built with Simulink software. The steering angle step response simulations were processed, such as only font wheels steering, fixed D value steering, and different sideslip angle control strategy. It is found that for only font wheels steering test, variable sideslip angle control strategy could make the overshoot of yaw rate reduce from 98% to 10%, convergence time reduce to 57%.

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13

CHEN, Hui. "Review on Vehicle Sideslip Angle Estimation." Journal of Mechanical Engineering 49, no. 24 (2013): 76. http://dx.doi.org/10.3901/jme.2013.24.076.

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14

PARK, ChanHo, GiSung GWAK, Minho KWON, Do Ui HONG, and Sung-Ho HWANG. "Development of adaptive sideslip angle estimator." Journal of Advanced Mechanical Design, Systems, and Manufacturing 10, no. 2 (2016): JAMDSM0025. http://dx.doi.org/10.1299/jamdsm.2016jamdsm0025.

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15

Yang, Kun, Danxiu Dong, Chao Ma, Zhaoxian Tian, Yile Chang, and Ge Wang. "Stability Control for Electric Vehicles with Four In-Wheel-Motors Based on Sideslip Angle." World Electric Vehicle Journal 12, no. 1 (March 12, 2021): 42. http://dx.doi.org/10.3390/wevj12010042.

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Tire longitudinal forces of electrics vehicle with four in-wheel-motors can be adjusted independently. This provides advantages for its stability control. In this paper, an electric vehicle with four in-wheel-motors is taken as the research object. Considering key factors such as vehicle velocity and road adhesion coefficient, the criterion of vehicle stability is studied, based on phase plane of sideslip angle and sideslip-angle rate. To solve the problem that the sideslip angle of vehicles is difficult to measure, an algorithm for estimating the sideslip angle based on extended Kalman filter is designed. The control method for vehicle yaw moment based on sliding-mode control and the distribution method for wheel driving/braking torque are proposed. The distribution method takes the minimum sum of the square for wheel load rate as the optimization objective. Based on Matlab/Simulink and Carsim, a cosimulation model for the stability control of electric vehicles with four in-wheel-motors is built. The accuracy of the proposed stability criterion, the algorithm for estimating the sideslip angle and the wheel torque control method are verified. The relevant research can provide some reference for the development of the stability control for electric vehicles with four in-wheel-motors.

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16

Sun, Tao, Hao Guo, Jian-yong Cao, Ling-jiang Chai, and Yue-dong Sun. "Study on Integrated Control of Active Front Steering and Direct Yaw Moment Based on Vehicle Lateral Velocity Estimation." Mathematical Problems in Engineering 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/275269.

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Considering the vehicle lateral velocity is difficult to be measured at integration of chassis control in configuration of production vehicle, this study presents the vehicle lateral velocity estimation based on the extended Kalman filtering with the standard sensor information. The fuzzy control algorithm is proposed to integrate direct yaw moment control and active front steering with lateral velocity estimation. The integration controller produces direct yaw moment and front wheel angle compensation to control yaw rate and sideslip angle, which makes the actual vehicle yaw rate and sideslip angle follow desirable yaw rate and desirable sideslip angle. The simulation results show vehicle handling and stability are enhanced under different driving cycles by the proposed algorithm.

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17

Li, Fu, and Zhen Luo. "Effects of Pressure Ports Layout on Angle of Attack and Sideslip Estimation in the Flush Air Data System." Advanced Materials Research 383-390 (November 2011): 2996–3000. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.2996.

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Flush air data system (FADS) have been successfully used on the nose tip of large manned/unmanned air vehicles instead of a traditional noseboom air data system. In order to integrate FADS with strapdown inertial navigation, high accuracy of angle of attack and sideslip is required. The estimated accuracy of angle of attack and sideslip in three types of FADS, which have different pressure ports layout, is compared using the nonlinear least squares theory. Evaluation function is provided to evaluate the accuracy of angle of attack and sideslip in different pressure ports layout. The results show that more sensors and radiation-type can provide high accuracy.

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18

Hongbo, Wang, Sun Youding, Tan Hongliang, and Lu Yongjie. "Stability control of in-wheel motor driven vehicle based on extension pattern recognition." Science Progress 103, no. 4 (October 2020): 003685042095853. http://dx.doi.org/10.1177/0036850420958531.

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According to the characteristics that the torque of each wheel of the in-wheel motor driven vehicle is independent and controllable, the stability control of in-wheel motor driven vehicle based on extension pattern recognition method is proposed in this paper. The dynamic model of the vehicle is established by Matlab/Simulink and Carsim. Taking two-degree-of-freedom (2-DOF) vehicle model as reference model, the vehicle yaw rate and the sideslip angle as the control objectives. The differences between the actual values and the reference values of the yaw rate and the actual sideslip angle are used to define the vehicle stability status. The vehicle stability status is divided into four stability control patterns, which are the no control pattern, the yaw rate control pattern, the yaw rate and sideslip angle joint control pattern, and the sideslip angle control pattern, respectively. The extension pattern recognition algorithm is used to determine the vehicle control pattern. The fuzzy controllers of yaw rate and sideslip angle are designed to obtain the additional yaw moment. Besides, the optimal torque distribution method is proposed by taking the lowest total energy loss of four motors as the objective function. The feasibility and effectiveness of the proposed control strategy are verified by Matlab/Simulink and Carsim joint simulation platform and hardware-in-the-loop (HIL) test.

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19

Novi, Tommaso, Renzo Capitani, and Claudio Annicchiarico. "An integrated artificial neural network–unscented Kalman filter vehicle sideslip angle estimation based on inertial measurement unit measurements." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 7 (August 2, 2018): 1864–78. http://dx.doi.org/10.1177/0954407018790646.

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Vehicle dynamics stability control systems rely on the amount of so-called sideslip angle and yaw rate. As the sideslip angle can be measured directly only with very expensive sensors, its estimation has been widely studied in the literature. Because of the large non-linearities and uncertainties in the dynamics, model-based methods are not a good solution to estimate the sideslip angle. On the contrary, machine learning techniques require large datasets that cover the entire working range for a correct estimation. In this paper, we propose an integrated artificial neural network and unscented Kalman filter observer using only inertial measurement unit measurements, which can work as a standalone sensor. The artificial neural network is trained solely with numerical data obtained with a Vi-Grade model and outputs a pseudo-sideslip angle which is used as input for the unscented Kalman filter. This is based on a kinematic model making the filter completely transparent to model uncertainty. A direct integration with integral damping and integral reset value allows the estimation of the longitudinal velocity of the kinematic model. A modification strategy of the pseudo-sideslip angle is then proposed to improve the convergence of the filter’s output. The algorithm is tested on both numerical data and experimental data. The results show the effectiveness of the solution.

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20

Pieniążek, Wiesław, Stanisław Wolak, and Robert Janczur. "A method for the estimation of sideslip angle for a vehicle equipped with a one-antenna GPS measuring system." Archives of Automotive Engineering – Archiwum Motoryzacji 84, no. 2 (June 28, 2019): 137–46. http://dx.doi.org/10.14669/am.vol84.art10.

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One-antenna GPS systems present no possibility for the direct determination of vehicle slip angle. This is an easy task for dual antenna systems; however, many users have this kind of apparatus. In this paper, a method of estimation of this parameter, which is important for the estimation of vehicle steerability factors, is proposed (e.g. TB factor calculated on the basis of data from input test [8]). The method is based on two parameters measured by a one-antenna GPS system; these are the heading angle created from the Doppler channel coming directly from the GPS engine, and the yaw rate measured by an IMU device integrated and cooperating with the GPS engine. The sideslip angle which was calculated according to the proposed method is compared with an equivalent angle calculated on the basis of data from a non-slip measurement of velocity components for selected point of vehicle acquired using. The presented method is illustrated with examples from real tests. In the author’s opinion, the sideslip angle calculated with the application of measurement data obtained from a one-antenna GPS device could be used in practice. From comparison with another upper mentioned method, it follows that the differences between average values of sideslip angles obtained from both considered methods is not greater than 8%.

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21

Chen, Te, Long Chen, Xing Xu, Yingfeng Cai, Haobin Jiang, and Xiaoqiang Sun. "Sideslip Angle Fusion Estimation Method of an Autonomous Electric Vehicle Based on Robust Cubature Kalman Filter with Redundant Measurement Information." World Electric Vehicle Journal 10, no. 2 (May 30, 2019): 34. http://dx.doi.org/10.3390/wevj10020034.

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Accurate and reliable estimation information of sideslip angle is very important for intelligent motion control and active safety control of an autonomous vehicle. To solve the problem of sideslip angle estimation of an autonomous vehicle, a sideslip angle fusion estimation method based on robust cubature Kalman filter and wheel-speed coupling relationship is proposed in this paper. The vehicle dynamics model, tire model, and wheel speed coupling model are established and discretized, and a robust cubature Kalman filter is designed for vehicle running state estimation according to the discrete vehicle model. An adaptive measurement-update solution of the robust cubature Kalman filter is presented to improve the robustness of estimation, and then, the wheel-speed coupling relationship is introduced to the measurement update equation of the robust cubature Kalman filter and an adaptive sideslip angle fusion estimation method is designed. The simulations in the CarSim-Simulink co-simulation platform and the actual vehicle road test are carried out, and the effectiveness of the proposed estimation method is validated by corresponding comparative analysis results.

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22

Huang, Yupeng, Chunjiang Bao, Jian Wu, and Yan Ma. "Estimation of Sideslip Angle Based on Extended Kalman Filter." Journal of Electrical and Computer Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/5301602.

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The sideslip angle plays an extremely important role in vehicle stability control, but the sideslip angle in production car cannot be obtained from sensor directly in consideration of the cost of the sensor; it is essential to estimate the sideslip angle indirectly by means of other vehicle motion parameters; therefore, an estimation algorithm with real-time performance and accuracy is critical. Traditional estimation method based on Kalman filter algorithm is correct in vehicle linear control area; however, on low adhesion road, vehicles have obvious nonlinear characteristics. In this paper, extended Kalman filtering algorithm had been put forward in consideration of the nonlinear characteristic of the tire and was verified by the Carsim and Simulink joint simulation, such as the simulation on the wet cement road and the ice and snow road with double lane change. To test and verify the effect of extended Kalman filtering estimation algorithm, the real vehicle test was carried out on the limit test field. The experimental results show that the accuracy of vehicle sideslip angle acquired by extended Kalman filtering algorithm is obviously higher than that acquired by Kalman filtering in the area of the nonlinearity.

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23

Zhao, Ling. "Vehicle Braking Stability Analysis in Turn Condition." Applied Mechanics and Materials 607 (July 2014): 604–7. http://dx.doi.org/10.4028/www.scientific.net/amm.607.604.

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Considering the influence of wheel vertical load transfer and Steering angle, the paper establishes a dynamic model of 7 degrees freedom for vehicle under Braking in Turn Condition. Based on this model, wheel lock braking and ABS braking were researched and simulated. The simulation results show directly that first lock of front wheel loses vehicle steering performance, first lock the rear wheel sideslips, ABS braking can prevent loss of vehicle steering performance and sideslip, but slightly long braking distance.

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24

Wang, Lu, Changkui Xu, and Jianhua Cheng. "Robust Output Path-Following Control of Marine Surface Vessels with Finite-Time LOS Guidance." Journal of Marine Science and Engineering 8, no. 4 (April 11, 2020): 275. http://dx.doi.org/10.3390/jmse8040275.

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This paper proposes a finite-time output feedback methodology for the path-following task of marine surface vessels. First, a horizontal path-following model is established with unknown sideslip angle, unmeasured system state and system uncertainties. A hierarchical control structure is adopted to deal with the cascade property. For kinematics system design, a finite-time sideslip angle observer is first proposed, and thus the sideslip angle estimation is compensated in a nonlinear line-of-sight (LOS) guidance strategy to acquire finite-time convergence. For the heading control design, an extended state observer is introduced for the unmeasured state and equivalent disturbance estimation, based on which an output feedback backstepping approach is proposed for the desired tracking of command course angle. The global stability of the cascade system is analyzed. Simulation results validate the effectiveness of the proposed methodology.

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25

Chen, Te, Long Chen, Xing Xu, Yingfeng Cai, Haobin Jiang, and Xiaoqiang Sun. "Reliable Sideslip Angle Estimation of Four-Wheel Independent Drive Electric Vehicle by Information Iteration and Fusion." Mathematical Problems in Engineering 2018 (2018): 1–14. http://dx.doi.org/10.1155/2018/9075372.

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Accurate estimation of longitudinal force and sideslip angle is significant to stability control of four-wheel independent driven electric vehicle. The observer design problem for the longitudinal force and sideslip angle estimation is investigated in this work. The electric driving wheel model is introduced into the longitudinal force estimation, considering the longitudinal force is the unknown input of the system, the proportional integral observer is applied to restructure the differential equation of longitudinal force, and the extended Kalman filter is utilized to estimate the unbiased longitudinal force. Using the estimated longitudinal force, considering the unknown disturbances and uncertainties of vehicle model, the robust sideslip angle estimator is proposed based on vehicle dynamics model. Moreover, the recursive least squares algorithm with forgetting factor is applied to vehicle state estimation based on the vehicle kinematics model. In order to integrate the advantages of the dynamics-model-based observer and kinematics-model-based observer and improve adaptability of observer system in complex working conditions, a vehicle sideslip angle fusion estimation strategy is proposed. The simulations and experiments are implemented and the performance of proposed estimation method is validated.

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26

MATSUI, Toshiki, Naoki SUGANUMA, and Naofumi FUJIWARA. "Measurement of Vehicle Sideslip Angle Using Stereovision." Transactions of the Japan Society of Mechanical Engineers Series C 71, no. 711 (2005): 3202–7. http://dx.doi.org/10.1299/kikaic.71.3202.

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27

Joanny, Stéphant, Charara Ali, and Meizel Dominique. "Experimental evaluation of vehicle sideslip angle observers." IFAC Proceedings Volumes 37, no. 8 (July 2004): 275–80. http://dx.doi.org/10.1016/s1474-6670(17)31988-2.

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28

Chen, B. C., and F. C. Hsieh. "Sideslip angle estimation using extended Kalman filter." Vehicle System Dynamics 46, sup1 (September 2008): 353–64. http://dx.doi.org/10.1080/00423110801958550.

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29

Tian, Jie, Ya Qin Wang, and Ning Chen. "Research on Vehicle Stability Based on DYC and AFS Integrated Controller." Applied Mechanics and Materials 278-280 (January 2013): 1510–15. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.1510.

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A new vehicle stability control method integrated direct yaw moment control (DYC) with active front wheel steering (AFS) was proposed. On the basis of the vehicle nonlinear model, vehicle stable domain was determined by the phase plane of sideslip angle and sideslip angular velocity. When the vehicle was outside the stable domain, DYC was firstly used to produce direct yaw moment, which can make vehicle inside the stable domain. Then AFS sliding mode control was used to make the sideslip angle and yaw rate track the reference vehicle model. The simulation results show that the integrated controller improves vehicle stability more effectively than using the AFS controller alone.

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30

Lu, Chao, Jing Yuan, and Genlong Zha. "Sliding Mode Integrated Control for Vehicle Systems Based on AFS and DYC." Mathematical Problems in Engineering 2020 (December 10, 2020): 1–8. http://dx.doi.org/10.1155/2020/8826630.

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Анотація:

This paper has investigated an integrated control of active front steering (AFS) and direct yaw-moment control (DYC) for vehicle systems. First of all, the desired yaw rate and sideslip angle are estimated by using a two-degree-of-freedom (2-DOF) model of the vehicle system. On this basis, the actual sideslip angle is estimated by means of an observer. Then, the sliding mode control (SMC) is developed for AFS and DYC, respectively, to guarantee that the actual yaw rate and the sideslip angle track their reference signals. Additionally, the disturbance observer (DOB) technique is introduced to further improve the control performance. Finally, the simulation results validate the superiority of the AFS and DYC integrated control by using CarSim software during the following conditions: double lane change and side wind disturbance.

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31

Zhang, Zhenzhao, Liang Chu, Jiaxu Zhang, Chong Guo, and Jing Li. "Design of Vehicle Stability Controller Based on Fuzzy Radial Basis Neural Network Sliding Mode Theory with Sideslip Angle Estimation." Applied Sciences 11, no. 3 (January 29, 2021): 1231. http://dx.doi.org/10.3390/app11031231.

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This study is targeted at the key state parameters of vehicle stability controllers, the controlled vehicle model, and the nonlinearity and uncertainty of external disturbance. An adaptive double-layer unscented Kalman filter (ADUKF) is used to compute the sideslip angle, and a vehicle stability control algorithm adaptive fuzzy radial basis function neural network sliding mode control (AFRBF-SMC) is proposed. Since the sideslip angle cannot be directly determined, a 7-degrees-of-freedom (DOF) nonlinear vehicle dynamic model is established and combined with ADUKF to estimate the sideslip angle. After that, a vehicle stability sliding mode controller is designed and used to trace the ideal values of the vehicle stability parameters. To handle the severe system vibration due to the large robustness coefficient in the sliding mode controller, we use a fuzzy radial basis function neural network (FRBFNN) algorithm to approximate the uncertain disturbance of the system. Then the adaptive rate of the system is solved using the Lyapunov algorithm, and the systemic stability and convergence of this algorithm are validated. Finally, the controlling algorithm is verified through joint simulation on MATLAB/Simulink-Carsim. ADUKF can estimate the sideslip angle with high precision. The AFRBF-SMC vehicle stability controller performs well with high precision and low vibration and can ensure the driving stability of vehicles.

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32

Ge, Yunfei, Yifei Yan, Xiangzhen Yan, and Zhaohong Meng. "Study on the influence of cornering characteristics of complex tread tires on rolling resistance based on finite element method." Advances in Mechanical Engineering 15, no. 2 (February 2023): 168781322311533. http://dx.doi.org/10.1177/16878132231153373.

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The existence of tire slip angle and camber angle causes that the test results of conventional rolling resistance tester are often very different from the measured results installed on the vehicle. In addition, the test cost of rolling resistance tester with sideslip and roll is high. To solve the above problems, the effects of cornering characteristics on rolling resistance of complex tread tires were analyzed by finite element method (FEM). The numerical simulation model of a tire with complex tread patterns was established, and the reliability of the established numerical simulation model was verified by the experiments. The response relationships between tire lateral force, sideslip angle, camber angle and rolling resistance under multiple pure sideslip conditions and combined conditions were compared and analyzed, as well as the contribution rate of each tire component to rolling resistance under the corresponding conditions. The obtained research results can provide support for vehicle chassis adjustment and energy saving and consumption reduction in tire structure design.

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Laurence, Roger J., and Brian M. Argrow. "Development and Flight Test Results of a Small UAS Distributed Flush Airdata System." Journal of Atmospheric and Oceanic Technology 35, no. 5 (May 2018): 1127–40. http://dx.doi.org/10.1175/jtech-d-17-0192.1.

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AbstractSmall unmanned aircraft systems (sUAS) have proven their effectiveness for measuring both the inertial and aircraft-relative wind. One of the more common aircraft-relative wind instruments is the multihole probe (MHP). While the MHP is accurate and simple to use, two main drawbacks exist: 1) the MHP airdata system can cost several times that of the sUAS and 2) the probe itself is often exposed to damage during routine operations. Flush airdata systems (FADS) are an alternative approach and utilize pressure ports flush with the aircraft surface. This removes any external components, thereby mitigating the risk of damage to the airdata system. The work presented details the implementation of a FADS for sUAS. Computational fluid dynamics simulations were used to determine the port locations of the FADS. Airframe locations were sorted based on the total sensitivity over a range of angles of attack and sideslip. The FADS was calibrated in flight using an onboard MHP. Multilayer feedforward neural networks were employed to produce estimates of the angle of attack and sideslip, while static and stagnation ports on the fuselage measured airspeed. Results from flight testing show errors in angle of attack and sideslip were unbiased. Additionally, 97.9% of the errors in airspeed were within 1 m s−1 of the MHP, while 93.8% and 87.3% of the angle of attack and sideslip errors, respectively, were within 1°. Flight tests show that a FADS can be calibrated in flight and that it is an effective method for measuring the aircraft-relative wind from small UAS.

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34

Liu, Runqiao, Minxiang Wei, Nan Sang, and Jianwei Wei. "A TRAJECTORY-TRACKING CONTROLLER FOR IMPROVING THE SAFETY AND STABILITY OF FOUR-WHEEL STEERING AUTONOMOUS VEHICLES." Transport 36, no. 2 (March 12, 2021): 147–63. http://dx.doi.org/10.3846/transport.2021.14291.

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To achieve anti-crosswind, anti-sideslip, and anti-rollover in trajectory-tracking for Four-Wheel Steering (4WS) autonomous vehicles, a trajectory-tracking controller based on a four-channel Active Disturbance Rejection Control (ADRC) was used to track the desired lateral displacement, longitudinal displacement, yaw angle, and roll angle, and minimize the tracking errors between the actual output values and the desired values through static decoupling steering and braking systems. In addition, the anti-crosswind, anti-sideslip, and anti-rollover simulations were implemented with CarSim®. Finally, the simulation results showed that the 4WS autonomous vehicle with the controller still has good anti-crosswind, anti-sideslip, and anti-rollover performance in path tracking, even under a small turning radius or lowadhesion curved roads.

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35

Wang, Hengyang, Biao Liu, and Junchao Qiao. "Advanced High-Speed Lane Keeping System of Autonomous Vehicle with Sideslip Angle Estimation." Machines 10, no. 4 (April 2, 2022): 257. http://dx.doi.org/10.3390/machines10040257.

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An advanced LKS (lane keeping system) for use on curving roads is presented to maintain autonomous vehicle driving within the target lane, without unintentional lane departure. There are the following two main objectives in designing this system: one is performing perfect lane keeping and the other is ensuring the dynamic stability of the vehicle, especially when driving on a curving and low-friction road with time-varying high speed. In this paper, a combined vehicle model, consisting of a lane keeping model and a vehicle lateral dynamic model, is firstly introduced. Then, a novel adaptive-weight predictive controller is used to calculate the desired steering angle and the additional yaw moment which provide coordinated control forlane keeping and dynamic stability control. Meanwhile, a square-root cubature Kalman filter-based vehicle sideslip angle observer, with a strong tracking theory modification (ST-SRCKF), is established to estimate the sideslip angle during the driving process. Finally, HIL (hardware-in-the-loop) tests and field tests are constructed, and the results show the effectiveness of our proposed LKS controller and ST-SRCKF sideslip angle estimation.

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36

Hassan, Mohamed A., Mohamed AA Abdelkareem, Gangfeng Tan, and M. M. Moheyeldein. "A Monte Carlo Parametric Sensitivity Analysis of Automobile Handling, Comfort, and Stability." Shock and Vibration 2021 (September 6, 2021): 1–24. http://dx.doi.org/10.1155/2021/6638965.

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This paper investigates the bandwidth sensitivity of automobile handling, comfort, and stability based on Monte Carlo sensitivity simulations. Performed bandwidth sensitivity simulations include the effects of vehicle geometry and suspension parameters on lateral acceleration, roll angle, front/rear sideslip angles, and yaw rate angle, including both time- and frequency-domain sensitivity analyses. To replicate actual automobile responses, a full-vehicle roll-oriented suspension seven-degree-of-freedom (7-DOF) model was developed and implemented considering a 2-DOF planar two-track model with a nonlinear Pacejka tire model. During the Monte Carlo simulations, 10 mm and 20 mm amplitude sine-wave excitations were used for the left and right sides, respectively, and the frequency was uniformly sampled over the range of 0–30 Hz. Simultaneously, each investigated vehicle parameter varied by ±25% relative to the reference model parameters. These simulations illustrate the sensitivity of the lateral acceleration, roll angle, yaw angle, and sideslip angles to their parameter variations. The results confirm that the road excitation frequency, tire properties, vehicle geometry, and suspension parameters significantly influence the vehicular lateral and roll stabilities when considering the lower and higher peaks and the frequency bandwidths of the lateral and roll stabilities. Interestingly, the longitudinal location of the center of gravity and the tire properties can achieve more significant peak lateral stability responses, as represented by the front and rear sideslip angles and the frequency bandwidth, compared to the other vehicle parameters at high frequencies. Choosing the correct tire properties and vehicle geometry, as well as suspension characteristics, plays an essential role in increasing the vehicular lateral stability and the rollover threshold. Variations in the studied parameters allow for higher vehicular stability when a vehicle is driven on random road surfaces.

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37

Sawaqed, Laith Sami, and Israa Hasan Rabbaa. "Fuzzy Yaw Rate and Sideslip Angle Direct Yaw Moment Control for Student Electric Racing Vehicle with Independent Motors." World Electric Vehicle Journal 13, no. 7 (June 21, 2022): 109. http://dx.doi.org/10.3390/wevj13070109.

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In this paper, a new concurrent yaw rate, sideslip angle, and longitudinal-velocity direct yaw moment control (DYC) strategy is proposed to improve the handling and stability of a rear-wheel drive student electric racing vehicle (EV) equipped with two independent motors. In order to control these three parameters concurrently, three control schemes are developed: three fuzzy controllers, three optimized PID controllers, and two fuzzy controllers for the yaw rate and sideslip angle with a PID for longitudinal velocity. The EV dynamic behavior for the different control schemes is compared by using a nonlinear model of the EV. This model consists of three main parts: vehicle dynamics, wheel dynamics, and tire dynamics. Simulations under a circular-path driving scenario show that the proposed fuzzy controllers can effectively reduce the consumed energy by 10%, track the desired speed and path, and enhance the vehicle’s behavior and stability while maneuvering by decreasing both the yaw rate and sideslip angle deviation.

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38

Chen, Jian Feng, Xiao Dong Sun, Long Chen, and Hao Bin Jiang. "Estimation of Vehicle Sideslip Angle Using Strong Tracking SRUKF." Applied Mechanics and Materials 614 (September 2014): 267–70. http://dx.doi.org/10.4028/www.scientific.net/amm.614.267.

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Sideslip angle is an important parameter for the stability control of high-speed vehicles. In this paper, a novel state observer based on strong tracking SRUKF is presented to estimate the sideslip angle. Besides the strong tracking SRUKF algorithm, a 2-DOF vehicle model and a “Magic Formula” are utilized to construct the state observer. Numerical simulations are implemented to testify on the accuracy performance of estimation based on the strong tracking SRUKF and standard UKF. The results show that the trends using two types of filters are accordant with the theoretic values, and the accuracy of the former is better than the latter.

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39

Valasek, John, Joshua Harris, Shawn Pruchnicki, Matthew McCrink, James Gregory, and David G. Sizoo. "Derived Angle of Attack and Sideslip Angle Characterization for General Aviation." Journal of Guidance, Control, and Dynamics 43, no. 6 (June 2020): 1039–55. http://dx.doi.org/10.2514/1.g004010.

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40

van der Wall, Berend G., and Jianping Yin. "A model for real-time computation of fuselage-rotor interference." International Journal of Modeling, Simulation, and Scientific Computing 08, no. 04 (December 2017): 1743002. http://dx.doi.org/10.1142/s1793962317430024.

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A simple analytical real-time capable model to account for fuselage-induced velocities at rotor blade elements is described at the example of the Bo105 fuselage. Data of the fuselage-induced flow fields in the volume of rotor operation above the fuselage are first computed by a panel method in the range of angle of attack and sideslip of [Formula: see text]. The model parameters are then estimated based on these data. The usefulness of the model in combinations of angle of attack and sideslip is demonstrated.

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41

Li, Jing, and Jiaxu Zhang. "Vehicle Sideslip Angle Estimation Based on Hybrid Kalman Filter." Mathematical Problems in Engineering 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/3269142.

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Vehicle sideslip angle is essential for active safety control systems. This paper presents a new hybrid Kalman filter to estimate vehicle sideslip angle based on the 3-DoF nonlinear vehicle dynamic model combined with Magic Formula tire model. The hybrid Kalman filter is realized by combining square-root cubature Kalman filter (SCKF), which has quick convergence and numerical stability, with square-root cubature based receding horizon Kalman FIR filter (SCRHKF), which has robustness against model uncertainty and temporary noise. Moreover, SCKF and SCRHKF work in parallel, and the estimation outputs of two filters are merged by interacting multiple model (IMM) approach. Experimental results show the accuracy and robustness of the hybrid Kalman filter.

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42

Xie, Dao Cheng, and Zhong Wei Wang. "Optimal Guidance Law Design for Reentry Vehicles with Terminal Velocity and Angle Constraints." Advanced Materials Research 459 (January 2012): 505–9. http://dx.doi.org/10.4028/www.scientific.net/amr.459.505.

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To achieve better impact effect, impact point error is of first importance, terminal velocity and angle of reentry vehicle are also needed to satisfy the expected value. This paper investigates the optimal guidance law for reentry vehicle. Guidance equation is expressed in longitudinal and lateral plane respectively, needed guidance command of angle of attack and sideslip angle is generated. Guidance command of angle of attack and sideslip angle is appended when considering reentry velocity. Synthesized guidance command is the sum of needed guidance command and appended guidance command. Effect of attitude control for reentry vehicle is analyzed using optimal guidance; the attitude of vehicle is stable and is guided to target point precisely. Trendline of landing error, reentry velocity and terminal angle varying with reentry time are analyzed, simulation results show that optimal guidance law is proper and satisfies the demand of impact point error, terminal velocity and angle.

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43

Miao, Zhibin, Hongtian Zhang, and Jinzhu Zhang. "A Robust Method of Vehicle Stability Accurate Measurement Using GPS and INS." Measurement Science Review 15, no. 6 (December 1, 2015): 294–303. http://dx.doi.org/10.1515/msr-2015-0040.

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Abstract With the development of the vehicle industry, controlling stability has become more and more important. Techniques of evaluating vehicle stability are in high demand. Integration of Global Positioning System (GPS) and Inertial Navigation System (INS) is a very practical method to get high-precision measurement data. Usually, the Kalman filter is used to fuse the data from GPS and INS. In this paper, a robust method is used to measure vehicle sideslip angle and yaw rate, which are two important parameters for vehicle stability. First, a four-wheel vehicle dynamic model is introduced, based on sideslip angle and yaw rate. Second, a double level Kalman filter is established to fuse the data from Global Positioning System and Inertial Navigation System. Then, this method is simulated on a sample vehicle, using Carsim software to test the sideslip angle and yaw rate. Finally, a real experiment is made to verify the advantage of this approach. The experimental results showed the merits of this method of measurement and estimation, and the approach can meet the design requirements of the vehicle stability controller.

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44

Deng, Zhi Jun, and Zhu Rong Dong. "Research on Stability Simulation for Four-Wheel Independent Steering Electric Vehicle." Advanced Materials Research 512-515 (May 2012): 2657–61. http://dx.doi.org/10.4028/www.scientific.net/amr.512-515.2657.

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Handling dynamic model is established for the four-wheel independent steering electric vehicle (4WISEV) that has been developed by our research group. Handling dynamics simulation is conducted under Matlab environment with the parameters of the vehicle model, including the yaw rate, the lateral acceleration and the vehicle sideslip angle time domain and frequency domain characteristic simulation. Through analyzing the simulation results, it is indicated that, by adopting the feedforward control of the front steer angle and the feedback control of the yaw rate and vehicle speed which enable the vehicle sideslip angle to approximate zero, 4WISEV can effectively increase the handling stability of the vehicle and the tracking ability during steering process.

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45

Wang, Chao, Rui Zhang, Chaoying Zhou, and Zhenzhong Sun. "Numerical Investigation on Flapping Aerodynamic Performance of Dragonfly Wings in Crosswind." International Journal of Aerospace Engineering 2020 (February 21, 2020): 1–14. http://dx.doi.org/10.1155/2020/7325154.

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Numerical simulations are performed to investigate the influence of crosswind on the aerodynamic characteristics of rigid dragonfly-like flapping wings through the solution of the three-dimensional unsteady Navier-Stokes equations. The aerodynamic forces, the moments, and the flow structures of four dragonfly wings are examined when the sideslip angle ϑ between the crosswind and the flight direction varied from 0o to 90o. The stability of the dragonfly model in crosswind is analyzed. The results show that the sideslip angle ϑ has a little effect on the total time-average lift force but significant influence on the total time-average thrust force, lateral force, and three-direction torques. An increase in the sideslip angle gives rise to a larger total time-average lateral force and yaw moment. These may accelerate the lateral skewing of the dragonfly, and the increased rolling and pitching moments will further aggravate the instability of the dragonfly model. The vorticities and reattached flow on the wings move laterally to one side due to the crosswind, and the pressure on wing surfaces is no longer symmetrical and hence, the balance between the aerodynamic forces of the wings on two sides is broken. The effects of the sideslip angle ϑ on each dragonfly wing are different, e.g., ϑ has a greater effect on the aerodynamic forces of the hind wings than those of the fore wings. When sensing a crosswind, it is optimal to control the two hind wings of the bionic dragonfly-like micro aerial vehicles.

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46

Li, Fang, and Shu Fang Geng. "Side Slip Angle Observation of Steer by Wire System." Applied Mechanics and Materials 577 (July 2014): 594–97. http://dx.doi.org/10.4028/www.scientific.net/amm.577.594.

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Sideslip angle and yaw rate can reflect the essential characteristics of the vehicle steering motion in steer by wire system, and determine the stability of the vehicle, sideslip angle is generally obtained through observation. In order to enhance the stability of the vehicle, hybrid observation method for side slip angle is used, in which dynamic integration is mainly used when the raw rate is relatively small, and extended kalman filtering is mainly used when the raw rate is large. In the observer design, the value and change rate of raw rate is used to calculate a weight coefficient to determine the proportion of two observation method in the observer. The simulation results show that the method can efficiently decrease the observation error of the side slip and improve the observation accuracy.

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47

Qian, Li Lin, Jian Wu Tao, Fei Yu, and Hai Fa Dai. "Ball-Nose Vehicle's Atmospheric Parameters Estimation Based on Airflow Velocity." Applied Mechanics and Materials 696 (November 2014): 3–7. http://dx.doi.org/10.4028/www.scientific.net/amm.696.3.

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The airflow velocity over blunt sphere is used to calculate ball-nose vehicle's atmospheric parameters about angle of attack, angle of sideslip and flight speed. A final model satisfying compressible flow is developed, and the expressions for atmospheric parameters is derived from three strategically selected sensors' velocity. The expressions of atmospheric parameters are verified through Fluent stimulation. The result of stimulation demonstrates a good accuracy of angles and flight speed, and the system has a good real-time performance.

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48

Xu, Bo, Sheng Min Cui, and Xiang Yu Wu. "Research on the Cornering Characteristics of Three-Axle Vehicle." Advanced Materials Research 945-949 (June 2014): 567–70. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.567.

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Анотація:

A multi-axle dynamic steering technology was proposed to solve the steering stability and maneuverability problem of heavy vehicle. Two degrees of freedom linear steering-model and motion-equations of three-axle vehicle was established. Taking the zero sideslip angle as the control target and the proportional rear-front wheel angle as control method, we got the angular scale-factor equation and related matrix of the state space and transfer function. The MATLAB software was used to simulate the different steering modes stability steady-state and transient response. The results show that by using proportional control method the sideslip angle can be stabilized near zero and by using multi-axle dynamic steering technology the stability and maneuverability of the vehicle when steering can be improved effectively.

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49

Xia, Qiu, Long Chen, Xing Xu, Yingfeng Cai, Haobin Jiang, Te Chen, and Guangxiang Pan. "Running States Estimation of Autonomous Four-Wheel Independent Drive Electric Vehicle by Virtual Longitudinal Force Sensors." Mathematical Problems in Engineering 2019 (June 9, 2019): 1–17. http://dx.doi.org/10.1155/2019/8302943.

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Анотація:

Exact sideslip angle estimation is significant to the dynamics control of four-wheel independent drive electric vehicles. It is costly and difficult-to-popularize to equip vehicular sensors for real-time sideslip angle measurement; therefore, the reliable sideslip angle estimation method is investigated in this paper. The electric driving wheel model is proposed and applied to the longitudinal force estimation. Considering that electric driving wheel model is a nonlinear model with unknown input, an unknown input estimation method is proposed to facilitate the longitudinal force observer design, in which the adaptive high-order sliding mode observer is designed to achieve the state estimation, the analytic formula of longitudinal force is obtained by decoupling electric driving wheel model, and the longitudinal force estimator is designed by recurrence estimation method. With the designed virtual longitudinal force sensor, an adaptive attenuated Kalman filtering is proposed to estimate the vehicle running state, in which the time-varying attenuation factor is applied to weaken the past data to the current filter and the covariance of process noise and measurement noise can be adjusted adaptively. Finally, simulations and experiments are conducted and the effectiveness of proposed estimation method is validated.

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50

Cheng, Peng Fei, Cheng Fu Wu, and Yue Guo. "High-Sideslip Model Reference Adaptive Flight Control for Aileron Locked Aircraft." Applied Mechanics and Materials 651-653 (September 2014): 751–56. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.751.

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This paper develops a high-sideslip flight control scheme based on model reference adaptive control (MRAC) to stabilize aircraft under aileron deadlock of one side. Firstly, the cascaded flight control scheme for high-sideslip straight flight is presented and how the control signals transfer is also analyzed. After that, the control structure and laws of MRAC for attitude inner-loop connected with sideslip command are designed. Finally, the control scheme is verified under a nonlinear aircraft model in conditions of no fault and one side aileron deadlock respectively. The simulation results show that when one side aileron deadlock occurs in accompany with the plant’s aerodynamic data perturbation and random initialization of controller parameters, this control method could utilize operation points of no-fault aircraft to force the faulty aircraft following the given reference model responses and finally tracking given sideslip angle command without static error robustly.

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