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Journal articles on the topic 'Longitudinal Stability Control'

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Author: Grafiati

Published: 10 March 2023

Last updated: 11 March 2023

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1

Houston, S. S. "Identification of Autogyro Longitudinal Stability and Control Characteristics." Journal of Guidance, Control, and Dynamics 21, no. 3 (May 1998): 391–99. http://dx.doi.org/10.2514/2.4271.

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2

Bloy, A. W. "An Aircraft Longitudinal Static Stability and Control Experiment." International Journal of Mechanical Engineering Education 24, no. 3 (July 1996): 183–90. http://dx.doi.org/10.1177/030641909602400305.

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3

OHMOTO, Terunori, and Muneo HIRANO. "STABILITY MECHANISM AND CONTROL OF LONGITUDINAL VORTEX STREETS." PROCEEDINGS OF HYDRAULIC ENGINEERING 37 (1993): 495–501. http://dx.doi.org/10.2208/prohe.37.495.

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4

Walker, D. J., and P. Perfect. "LONGITUDINAL STABILITY AND CONTROL OF LARGE TILT-ROTOR AIRCRAFT." IFAC Proceedings Volumes 40, no. 7 (2007): 413–18. http://dx.doi.org/10.3182/20070625-5-fr-2916.00071.

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5

Taha, Haithem E., Craig A. Woolsey, and Muhammad R. Hajj. "Geometric Control Approach to Longitudinal Stability of Flapping Flight." Journal of Guidance, Control, and Dynamics 39, no. 2 (February 2016): 214–26. http://dx.doi.org/10.2514/1.g001280.

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6

Ahangarnejad, Arash Hosseinian, and Stefano Melzi. "Active longitudinal load transfer control for improving vehicle's stability." International Journal of Vehicle Performance 5, no. 1 (2019): 2. http://dx.doi.org/10.1504/ijvp.2019.097091.

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7

Ahangarnejad, Arash Hosseinian, and Stefano Melzi. "Active longitudinal load transfer control for improving vehicle's stability." International Journal of Vehicle Performance 5, no. 1 (2019): 2. http://dx.doi.org/10.1504/ijvp.2019.10018124.

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8

Bai, Yunlong, Gang Li, Hongyao Jin, and Ning Li. "Research on Lateral and Longitudinal Coordinated Control of Distributed Driven Driverless Formula Racing Car under High-Speed Tracking Conditions." Journal of Advanced Transportation 2022 (August 11, 2022): 1–15. http://dx.doi.org/10.1155/2022/7344044.

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Aiming at the problem that it is difficult to ensure the trajectory tracking accuracy and driving stability of the distributed driven driverless formula racing car under high-speed tracking conditions, a lateral and longitudinal coordinated control strategy is proposed. Based on the adaptive model predictive control theory, the lateral motion controller is designed, and the prediction time domain of the controller is changed in real time according to the change of vehicle speed. Based on the sliding mode variable structure control theory, a longitudinal motion controller is designed to accurately track the desired vehicle speed. Considering the coupling between the lateral and longitudinal controls, the lateral controller inputs the longitudinal speed and displacement of the vehicle, using the feedback mechanism to update the prediction model in real time, the longitudinal controller takes the front wheel angle as the input, the driving torque is redistributed through the differential drive control, and the lateral and longitudinal coordinated control is carried out to improve the trajectory tracking accuracy and driving stability. The typical working conditions are selected for co-simulation test verification. The results show that the lateral and longitudinal coordinated control strategy can effectively improve the vehicle trajectory tracking control accuracy and driving stability.

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9

Huang, Man Hong, Huan Shen, and Yun Sheng Tan. "Vehicle Direct Yaw Moment Control with Longitudinal Forces Distribution." Applied Mechanics and Materials 709 (December 2014): 331–34. http://dx.doi.org/10.4028/www.scientific.net/amm.709.331.

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In this paper, a vehicle stability control system is proposed to improve vehicle comfort, handling and stability. The control system includes reference model, DYC controller and Distributer. Reference model is used to obtain the desired yaw rate. DYC controller determines the desired yaw moment by means of sliding-mode technique. Distributer, based on maneuverability and comfort, distributes driving torque or braking torque according to the desired yaw rate. Simulation result shows that the proposed control algorithm can improve vehicle handling and stability effectively.

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10

Li, Mei Hong, Jian Yin, Xue Yang Sun, Jin Xiang Xu, and Mei Mei Zhang. "Design of Missile Longitudinal Control System Based on Backstepping Control." Applied Mechanics and Materials 496-500 (January 2014): 1401–6. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.1401.

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Missile control system is not block strict feedback system which is suitable to use backstepping method. So in this paper, a backstepping control method is proposed to design a missile longitudinal autopilot and is proved to be asymptotically stable by Lyapunov stability theory. The simulation results show that the designed system can still track commands quickly and accurately and is robust with aerodynamic perturbation and control input saturation.

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11

Fielding, C., and M. Lodge. "Stability and control of STOVL aircraft: The design of longitudinal flight control laws." Aeronautical Journal 104, no. 1038 (August 2000): 383–89. http://dx.doi.org/10.1017/s0001924000064022.

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Abstract Over the past three decades, the UK aerospace industry has carried out significant research into the development of short take-off and vertical landing (STOVL) technology, to enhance the performance and operation of the Harrier aircraft, and for possible application to future aircraft such as those being developed under the Joint Strike Fighter (JSF) programme. Some of this research has focused on aircraft handling and flight control for the transition between wing-borne and jet-borne flight. Following on from internal research at British Aircraft Corporation/British Aerospace (now part of BAE Systems) in the mid to late 1970s, further development work has been carried out in the 1980s and 90s in support of the UK’s Vectored thrust Advanced Aircraft flight Control (VAAC) Harrier and Integrated Flight and Propulsion Control System (IFPCS) programmes. This paper contains a short review of STOVL aircraft longitudinal flight control law design, and how basic feedback control schemes can be used to influence the aircraft’s response and hence its handling qualities.

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12

Wang, Hongbo, Youding Sun, Zhengang Gao, and Li Chen. "Extension Coordinated Multi-Objective Adaptive Cruise Control Integrated with Direct Yaw Moment Control." Actuators 10, no. 11 (November 6, 2021): 295. http://dx.doi.org/10.3390/act10110295.

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An adaptive cruise control (ACC) system can reduce driver workload and improve safety by taking over the longitudinal control of vehicles. Nowadays, with the development of range sensors and V2X technology, the ACC system has been applied to curved conditions. Therefore, in the curving car-following process, it is necessary to simultaneously consider the car-following performance, longitudinal ride comfort, fuel economy and lateral stability of ACC vehicle. The direct yaw moment control (DYC) system can effectively improve the vehicle lateral stability by applying different longitudinal forces to different wheels. However, the various control objectives above will conflict with each other in some cases. To improve the overall performance of ACC vehicle and realize the coordination between these control objectives, the extension control is introduced to design the real-time weight matrix under a multi-objective model predictive control (MPC) framework. The driver-in-the-loop (DIL) tests on a driving simulator are conducted and the results show that the proposed method can effectively improve the overall performance of vehicle control system and realize the coordination of various control objectives.

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13

Zou, Chen Guo, Hong Liang Zhou, and Zhen He. "The Research of Wheel Drive Vehicle Yaw Stability Controller Based on Model Predictive Control." Advanced Materials Research 998-999 (July 2014): 735–40. http://dx.doi.org/10.4028/www.scientific.net/amr.998-999.735.

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As an important active safety control method, vehicle yaw stability control guarantees the dynamic stability of vehicle. A wheel drive vehicle yaw stability controller based on model predictive control theory is designed to plan the longitudinal forces of the four wheels online to control the driving torque or braking torque of each wheel. With the designed controller, the vehicle is able to track the desired yaw rate in the process of turning. The yaw stability and longitudinal characteristics of the vehicle are guaranteed at the same time.

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14

Zaludin, Zairil A. "Regaining Loss in Dynamic Stability after Control Surface Failure for an Air-Breathing Hypersonic Aircraft Flying At Mach 8.0." Asian Review of Mechanical Engineering 10, no. 1 (May 15, 2021): 36–47. http://dx.doi.org/10.51983/arme-2021.10.1.2961.

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The aim of the study is to reconfigure the automatic flight control systems of a hypersonic vehicle so that dynamic stability can be restored when flight control fails. LQR theory is used to first find the feedback gain when all 3 flight control systems are working. Failure was simulated one at a time to investigate lost in dynamic stability. When instability occurs, the new gains are obtained for the remaining flight controls using a modified Minimum Principal theory. The simulations show that the dynamic stability can be restored using these new reconfiguration gains if any one of the 3 flight control systems fail at one time but not in combination. The failure of elevator flaps at hypersonic speeds is likely due to aerodynamic heating. It is shown that the engine diffuser and the temperature across combustor controls can regain longitudinal dynamic stability to at least slow down the aircraft to safety. Study is limited to longitudinal motion only.

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15

Zhao, Yongqiang, Jun Li, and Chang Li. "Longitudinal Driving Force Distribution of Four In-wheel Motors Drive Electric Vehicle Based on Fuzzy Logic." Journal of Physics: Conference Series 2216, no. 1 (March 1, 2022): 012007. http://dx.doi.org/10.1088/1742-6596/2216/1/012007.

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Abstract In order to improve the vehicle economy, this paper establishes the drive system efficiency optimization objective function and vehicle longitudinal driving constraints, design the drive system efficiency optimization control algorithm based on tolerance. Then establish the objective function of longitudinal adhesion coefficient utilization optimization algorithm, complete the development of longitudinal adhesion coefficient utilization optimization control algorithm to improve the vehicle stability. In order to give consideration to the economy and stability of vehicle longitudinal driving, the switching logic of longitudinal driving force distribution algorithm is designed. Fuzzy control is used in the switching logic to realize the smooth switching of longitudinal driving force in the transition process, and realize the optimal distribution of longitudinal driving force. Finally, compare the simulation to the typical control algorithm under multiple working conditions to comfirm the actively effect of the control algorithm.

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16

Yang, Can, and Jie Liu. "Trajectory Tracking Control of Intelligent Driving Vehicles Based on MPC and Fuzzy PID." Mathematical Problems in Engineering 2023 (February 3, 2023): 1–24. http://dx.doi.org/10.1155/2023/2464254.

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To improve the stability and accuracy of quintic polynomial trajectory tracking, an MPC (model predictive control) and fuzzy PID (proportional-integral-difference)- based control method are proposed. A lateral tracking controller is designed by using MPC with rule-based horizon parameters. The lateral tracking controller controls the steering angle to reduce the lateral tracking errors. A longitudinal tracking controller is designed by using a fuzzy PID. The longitudinal controller controls the motor torque and brake pressure referring to a throttle/brake calibration table to reduce the longitudinal tracking errors. By combining the two controllers, we achieve satisfactory trajectory tracking control. Relative vehicle trajectory tracking simulation is carried out under common scenarios of quintic polynomial trajectory in the Simulink/Carsim platform. The result shows that the strategy can avoid excessive trajectory tracking errors which ensures a better performance for trajectory tracking with high safety, stability, and adaptability.

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17

Tan, Han-Shue, and Yuen-Kwok Chin. "Vehicle Traction Control: Variable-Structure Control Approach." Journal of Dynamic Systems, Measurement, and Control 113, no. 2 (June 1, 1991): 223–30. http://dx.doi.org/10.1115/1.2896369.

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A longitudinal one-wheel vehicle model is described for both anti-lock braking and anti-span acceleration. Based on this vehicle model, sufficient conditions for applying sliding-mode control to vehicle traction are derived via Lyapunov Stability Theory. With the understanding of these sufficient conditions, control laws are designed to control vehicle traction. Both the sufficient conditions and the control laws are verified using computer simulations.

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18

Cheng, Shuo, Ming-ming Mei, Shi-yong Guo, Liang Li, Cong-zhi Liu, Xiang Chen, and Xiu-heng Wu. "A novel coupling strategy for automated vehicle’s longitudinal dynamic stability." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 235, no. 10-11 (April 5, 2021): 2753–63. http://dx.doi.org/10.1177/09544070211006530.

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The autonomous vehicle has been developed widely, and attracted much attention of global automotive industry. Wherein, longitudinal dynamics control is one of the most crucial issues of autonomous vehicles. The throttle-by-wire (TBW) control could implement the acceleration command through adjusting the throttle opening, thus control the driving torque of the fuel autonomous vehicle. However, an automated vehicle controlled by traditional TBW in low-friction road conditions could reach large slip ratio region, which could adversely cause the loss of vehicle longitudinal dynamic stability. To tackle the mentioned issues, this paper proposes an adaptive sliding-mode control (SMC) algorithm to optimize tire slip speed of the automated vehicle. When the intervention conditions of active acceleration are satisfied, the TBW can take over the throttle opening control instead of the driver. Firstly, the SMC can calculate an intervention of the effective torque input based on tire torque balance dynamics. Moreover, a traction control system (TCS) and TBW coupling strategy based on the logic threshold method is put forward to response the optimum slip speed curve. Thus, during the vehicle starting process, a three-layer control strategy consisting of TBW, torque control, and pressure control of TCS is involved. Finally, real-car snow and ice road tests are carried out, and experimental results demonstrate great performance of the proposed strategy in complicated low-friction road.

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19

Niu, Zhong-Guo, Xiang-Hui Xu, Jian-Feng Wang, Jia-Li Jiang, and Hua Liang. "Experiment on longitudinal aerodynamic characteristics of flying wing model with plasma flow control." Acta Physica Sinica 71, no. 2 (2022): 024702. http://dx.doi.org/10.7498/aps.71.20211425.

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Horizontal tail is eliminated from the flying wing layout for improving the low observable and aerodynamic efficiency, resulting in degrading longitudinal maneuverability and fight stability. The low speed wind tunnel test study of improving the longitudinal aerodynamic characteristics of large aspect ratio flying wing model is carried out by using plasma flow control technology. The flying wing model has a leading-edge sweep angle of 34.5° and an aspect ratio of 5.79. The reasons for deteriorating the static maneuverability and stability of the flying wing model and the mechanism of plasma control of the flow field and longitudinal aerodynamic characteristics are studied by particle image velocimetry (PIV) flow visualization and static force measurement test. The control law of plasma control of the flight maneuverability and stability of the flying wing model is studied through flight test. The fact that the flow separation of the outer wing of the flying wing model occurs earlier than the inner wing and the wing is swept back can result in the forward movement of the aerodynamic center and the deterioration of the longitudinal static stability. The shock disturbance induced by plasma can suppress the flow separation of the suction surface, thereby extending the linear section of the lift curve of the model, preventing the aerodynamic center from moving forward, and improving the longitudinal static stability. When the wind speed is 50 m/s, the plasma control improves the horizontal rudder efficiency at a high angle of attack of the flying wing model, increases the maximum lift coefficient of the model by about 0.1, and postpones the stall angle of attack by more than 4° at different rudder angles. The plasma control allows the flying model to follow the command movement better while flying, increases the flying pitch limit angle from 11.5° to 15.1°, reduces the amplitude of longitudinal disturbance motion by 2°, and reduces the oscillation attenuation time from 15 to 8 s, thereby improving the longitudinal flight maneuverability and stability of the flying wing model. It can be seen that plasma flow control technology has great potential applications in improving the flight quality of flying wing layout.

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20

Liu, Zhilin, Linhe Zheng, and Guosheng Li. "Longitudinal motion control for high-speed trimaran based on computational fluid dynamics and predictive control." International Journal of Advanced Robotic Systems 17, no. 3 (May 1, 2020): 172988142092528. http://dx.doi.org/10.1177/1729881420925280.

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This article investigates a model predictive control (MPC) with disturbance observer (DOB) for a trimaran longitudinal motion control. Firstly, to design the trimaran longitudinal motion stability controller, the mathematical model of the trimaran requires to be obtained. The hydrodynamic coefficients in the mathematical model are obtained by the computational fluid dynamics simulation. Secondly, a T-foil with the fixed attack angle is selected as an antipitching appendage. It is verified that the T-foil is effective in restraining the longitudinal motion of the trimaran through numerical simulation. Lastly, to enhance the ability of the T-foil for restraining the severe longitudinal motion, a controller based on the MPC method with DOB is designed to control the attack angle. The effect of the proposed algorithm is verified by theoretical analysis and simulation.

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21

Dietl, John M., and Ephrahim Garcia. "Stability in Ornithopter Longitudinal Flight Dynamics." Journal of Guidance, Control, and Dynamics 31, no. 4 (July 2008): 1157–63. http://dx.doi.org/10.2514/1.33561.

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22

Steer, A. J. "Supersonic transport aircraft longitudinal flight control law design." Aeronautical Journal 108, no. 1084 (June 2004): 319–29. http://dx.doi.org/10.1017/s000192400000018x.

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Abstract Modern civil transport aircraft utilise increasingly complex command and stability augmentation systems to restore stability, optimise aerodynamic performance and provide the pilot with the optimum handling qualities. Provided it has sufficient control power a second generation fly-by-wire supersonic transport aircraft should be capable of exhibiting similarly desirable low-speed handling qualities. However, successful flight control law design requires identification of the ideal command response type for a particular phase of flight, a set of valid handling quality design criteria and piloted simulation evaluation tasks and metrics. A non-linear mathematical model of the European supersonic transport aircraft has been synthesized on the final approach to land. Specific handling quality design criteria have been proposed to enable the non-linear dynamic inversion flight control laws to be designed, with piloted simulation used for validation. A pitch rate command system, with dynamics matched to the aircraft’s flight path response, will consistently provide Level 1 handling qualities. Nevertheless, pre-filtering the pilot’s input to provide a second order pitch rate response, using the author’s suggested revised constraints on the control anticipation parameter will generate the best handling qualities during the terminal phase of flight. The resulting pre-filter can be easily applied to non-linear dynamic inversion inner loop controllers and has simple and flight proven sensor requirements.

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23

Nahidi, Asal, Alireza Kasaiezadeh, Saeid Khosravani, Amir Khajepour, Shih-Ken Chen, and Bakhtiar Litkouhi. "Modular integrated longitudinal and lateral vehicle stability control for electric vehicles." Mechatronics 44 (June 2017): 60–70. http://dx.doi.org/10.1016/j.mechatronics.2017.04.001.

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24

Shino, Motoki, Yuji Yamakawa, Takenobu Inoue, and Minoru Kamata. "Longitudinal stability control of electric wheelchairs for persons with severe disability." Vehicle System Dynamics 46, sup1 (September 2008): 389–402. http://dx.doi.org/10.1080/00423110801958584.

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25

Garcia, Luis Eduardo, and Maribel Arroyave. "Detección de anormalidades en el control de estabilidad de una aeronave." Revista UIS Ingenierías 18, no. 4 (July 16, 2019): 105–16. http://dx.doi.org/10.18273/revuin.v18n4-2019010.

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En este artículo se presenta un sistema de detección que generauna alarma cuando existe un estado de anormalidad en el sistema de control de estabilidadde una aeronave. A partir del modelolatero dimensional y longitudinal se diseña uncontrolador tipo servo con integrador para la regulación del Roll, Pitch y Yaw. Los modelos son excitados con escalones de magnitudesaleatoriasy perturbados con diferentes señalesaleatoriaspara generar la base de datos de estados adecuados y no adecuados. Se utilizanclasificadores de base radial,los cuales se entrenan y se validan para la detección de los comportamientos anómalos que se puedan presentar en la estabilidad de la aeronave.La exactitud obtenida conlos clasificadores fue superior al 93.33% para todas lasvariables estudiadas, lo cual indica que lastécnicasde control y clasificación utilizadas, ofrecenfiabilidad en la determinación de los estados anómalos en la simulación del vuelo de la aeronavey que podrían ser utilizadas en vuelos reales.

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26

Diamond, Brie, Robert G. Morris, and Alex R. Piquero. "Stability in the Underlying Constructs of Self-Control." Crime & Delinquency 63, no. 3 (July 10, 2016): 235–66. http://dx.doi.org/10.1177/0011128715603721.

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The stability of self-control represents a recently popular empirical topic; however, little attention has been paid to the stability of the underlying constructs of Gottfredson and Hirschi’s conception of self-control. The present study uses longitudinal data on youth residing in the northeastern United States and employs trajectory analysis to explore the presence of varying developmental trends in these constructs. The findings indicate that these constructs follow unique and varied trajectories that may help to elucidate issues with our understanding of the stability of self-control.

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27

Tao, Hua, and Baocheng Yang. "Coordinated Control of Unmanned Electric Formula Car." World Electric Vehicle Journal 14, no. 3 (February 24, 2023): 58. http://dx.doi.org/10.3390/wevj14030058.

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The coordinated control method of Unmanned Electric Formula Racing (UEFC) was studied to improve the handling stability of UEFC. The UEFC’s mechanical structure, which is based on the driving system and transmission system, was designed. In accordance with mechanical structure of the designed racing car, a seven-degree of freedom mathematical model of the UEFC was established. In accordance with the built mathematical model of racing car, the lateral controller of racing car was designed by using a fuzzy neural network method. The longitudinal controller of the racing car was designed by using the method of incremental PID control, and the coordination controller of the racing car was designed by combining the lateral controller and the longitudinal controller so as to realize the lateral and longitudinal coordination control of the UEFC. The experimental results showed that the output parameters such as yaw rate, vehicle speed and heading angle were slightly different from the expected output. It was confirmed that the research method can enhance the handling stability of the UEFC.

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28

Yao and Tian. "A Model Predictive Controller with Longitudinal Speed Compensation for Autonomous Vehicle Path Tracking." Applied Sciences 9, no. 22 (November 6, 2019): 4739. http://dx.doi.org/10.3390/app9224739.

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Autonomous vehicle path tracking accuracy faces challenges in being accomplished due to the assumption that the longitudinal speed is constant in the prediction horizon in a model predictive control (MPC) control frame. A model predictive control path tracking controller with longitudinal speed compensation in the prediction horizon is proposed in this paper, which reduces the lateral deviation, course deviation, and maintains vehicle stability. The vehicle model, tire model, and path tracking model are described and linearized using the small angle approximation method and an equivalent cornering stiffness method. The mechanism of action of longitudinal speed changed with state vector variation, and the stability of the path tracking closed-loop control system in the prediction horizon is analyzed in this paper. Then the longitudinal speed compensation strategy is proposed to reduce tracking error. The controller designed was tested through simulation on the CarSim-Simulink platform, and it showed improved performance in tracking accuracy and satisfied vehicle stability constrains.

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29

Cook, M. V. "The theory of the longitudinal static stability of the hang-glider." Aeronautical Journal 98, no. 978 (October 1994): 292–304. http://dx.doi.org/10.1017/s0001924000026798.

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Abstract This paper describes the development of a simple theory of the longitudinal static stability of the hang-glider. The classical theory, as developed for the conventional aeroplane, is modified to accommodate the particular features of the hang-glider. When the appropriate assumptions are made, the theory provides simple insight into the controls fixed and controls free stability and control characteristics of the hang-glider. The validity of the theoretical models is successfully demonstrated by application to a typical fifth generation hang-glider wing for which good quality aerodynamic data were available.

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30

Al Aian, Ahmad Eshtiwey, Bambang Basuno, and Zamri bin Omar. "On the Determination of Longitudinal Transfer Function of the Cessna - 182 Aircraft Model." Applied Mechanics and Materials 465-466 (December 2013): 363–67. http://dx.doi.org/10.4028/www.scientific.net/amm.465-466.363.

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The present work focuses on the development of computer code related to the longitudinal stability analysis on a propeller driven light aircraft model. The computer code designed in such a way, so for a given aircraft data will produce the result in term of: 1) Longitudinal stability derivatives in non dimensional form as well as in their dimensional form, 2) The longitudinal stability aircraft characteristics related to position of neutral point ( stick free and stick fixed ) also the requested forces for deflecting the control surface, 3) The transfer function in response to the control surface deflection for the component velocity and pitch angle. Through this developed computer code one can make an assessment the longitudinal behavior for the propeller driven light aircraft [.

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31

Jingbo, Zhao, Chen Jie, and Liu Chengye. "Stability Coordinated Control of Distributed Drive Electric Vehicle Based on Condition Switching." Mathematical Problems in Engineering 2020 (October 30, 2020): 1–10. http://dx.doi.org/10.1155/2020/5648058.

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The distributed drive electric vehicle is a complex hybrid system including discrete events and continuous events. In order to coordinate the longitudinal and lateral motion of the distributed drive electric vehicle, a hierarchical control method was proposed. In the upper layer, the body attitude tracking controller based on sliding mode control algorithm was established to accurately analyze the driving expectation and to track the longitudinal speed, the lateral speed, and the yaw rate of the vehicle. In the lower layer, the switching controller based on the hybrid theory was established to improve the driving stability under various working conditions. The switching controller can switch between control strategies according to the working conditions. The joint simulation was carried out under various working conditions using Simulink and CarSim software. The results showed that the controller can coordinate the longitudinal and lateral motion of the vehicle well in linear acceleration and sinusoidal acceleration conditions and can strictly track the driving expectation and maintain the desired body posture. And another, the controller can be switched according to the working conditions and control strategies accurately and smoothly and can ensure stable driving in the constant speed single lane change condition. The controller can reveal the continuous behavior characteristics of the vehicle and reflect the characteristics of discrete events by coordinating the longitudinal and lateral motion of the vehicle. It improves the stability and control performance of the distributed drive electric vehicle under various working conditions.

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32

Latrech, Chedia, Ahmed Chaibet, Moussa Boukhnifer, and Sébastien Glaser. "Integrated Longitudinal and Lateral Networked Control System Design for Vehicle Platooning." Sensors 18, no. 9 (September 13, 2018): 3085. http://dx.doi.org/10.3390/s18093085.

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This paper investigates platoon control of vehicles via the wireless communication network. An integrated longitudinal and lateral control approaches for vehicle platooning within a designated lane is proposed. Firstly, the longitudinal control aims to regulate the speed of the follower vehicle on the leading vehicle while maintaining the inter-distance to the desired value which may be chosen proportional to the vehicle speed. Thus, based on Lyapunov candidate function, sufficient stability conditions formulated in BMIs terms are proposed. For the general objective of string stability and robust platoon control to be achieved simultaneously, the obtained controller is complemented by additional conditions established for guaranteeing string stability. Furthermore, constraints such as actuator saturation, and controller constrained information are also considered in control design. Secondly, a multi-model fuzzy controller is developed to handle the vehicle lateral control. Its objective is to maintain the vehicle within the road through steering. The design conditions are strictly expressed in terms of LMIs which can be efficiently solved with available numerical solvers. The effectiveness of the proposed control method is validated under the CarSim software package.

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33

Saussié, D., L. Saydy, and O. Akhrif. "Longitudinal flight control design with handling quality requirements." Aeronautical Journal 110, no. 1111 (September 2006): 627–37. http://dx.doi.org/10.1017/s0001924000001494.

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Abstract This work presents a method for selecting the gain parameters of a C* control law for an aircraft’s longitudinal motion. The design incorporates various handling quality requirements involving modal, time- and frequency-domain criteria that were fixed by the aircraft manufacturer. After necessary model order-reductions, the design proceeds in essentially two-steps: stability augmentation system (SAS) loop design and control augmentation system (CAS) loop design. The approach partly relies on the use of guardian maps to characterise, in each case, the set of gain parameters for which desired handling quality requirements are satisfied. The approach is applied throughout the full flight envelope of a business jet aircraft and yields satisfactory results.

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34

Irmawan, Erwhin, and Erwan Eko Prasetiyo. "Kendali Adaptif Neuro Fuzzy PID untuk Kestabilan Terbang Fixed Wing UAV (Adaptive Control of Neuro Fuzzy PID for Fixed Wing UAV Flight Stability)." Jurnal Nasional Teknik Elektro dan Teknologi Informasi 9, no. 1 (February 5, 2020): 73–78. http://dx.doi.org/10.22146/jnteti.v9i1.142.

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Unmanned Aerial Vehicle (UAV), especially fixed wing, are widely used to carry out various missions, namely civil and military missions. To support the implementation of this mission, it is necessary to develop an intelligent automatic control system (autopilot). In this paper, an autopilot system with adaptive neuro fuzzy PID control is developed to control lateral (pitch) and longitudinal (roll) motion, by taking advantage of PID, fuzzy, and neural network control. Therefore, robust controls which can handle non-linear conditions can be formed. This paper aims to determine the performance of adaptive control of neuro fuzzy PID controllers for longitudinal and lateral motion on UAV. The result shows that adaptive control of neuro fuzzy PID are able to control the lateral and longitudinal motion of the aircraft and able to compensate for interferences from environmental disturbances in flying condition, such as changes in direction and wind speed that causes changes in aircraft attitude. The control characteristics of neuro fuzzy PID adaptive control in lateral and longitudinal motion are relatively similar. Adaptive control of neuro fuzzy PID has better performance than fuzzy PID control, i.e., faster settling time and lower percentage of maximum overshoot.

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Zhang, Yun Yin, Chun Guang Liu, and Zi Li Liao. "Vehicle Steering Stability Simulation Based on G-Vectoring Control." Advanced Materials Research 898 (February 2014): 914–18. http://dx.doi.org/10.4028/www.scientific.net/amr.898.914.

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A new kind of control method named "G-Vectoring control" is used in vehicle steering stability control, which uses the lateral acceleration to control the longitudinal acceleration, and improves the steering stability by redistributing the driving force. The motor and its control system as well as the vehicle system control are modeled by Matlab, the vehicle dynamics model is designed by adams. After the co-simulation of snakelike tests, the results shows that the sideslip angle is well controlled by G-Vectoring control.

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О. В. Збруцький, Р. В. Карнаушенко, and О. П. Мариношенко. "DEFINITION THE STABILITY AND CONTROL DERIVATIVES IN THE LONGITUDINAL CHANNEL OF SMALL SUBSONIC UAV." MECHANICS OF GYROSCOPIC SYSTEMS, no. 26 (December 23, 2013): 55–68. http://dx.doi.org/10.20535/0203-377126201330674.

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The problems of determining the stability and control derivatives of small subsonic UAV in the longitudinal channel are solved.An approach to the stability and control derivatives determination based on the analysis results of wind tunnel investigation and analyzes conducted .To the longitudinal movement usually referred traffic aircraft where it is in the plane of symmetry of one and the same vertical plane. Thus the aerodynamic lateral force, rolling moment and yaw angles of heel and slip and angular velocity of roll and glide zero. To investigate the longitudinal motion of the aircraft (movement in the longitudinal channel) important issue is to determine the components of the aerodynamic forces and moments as a function of the kinematic parameters of the flight, the so-called aerodynamic derivatives.Given that the object is a lightweight UAV that has subsonic range of operating speeds, significantly less than the speed of sound, it should be noted that the derivative of the coefficient of lift coefficient and drag coefficient for longitudinal moment of flight speed can be taken to be zero at subsonic speed range. This is due to the fact that these values are almost constant with airspeed , lower the speed of sound . Change the value of these parameters with growth rate appears only when approaching the speed of sound, due to changes in the position of the center of pressure and the additional impedance. Also, when calculating stability derivatives are generally neglected by changing the drag because the drag value of derivatives are small and commensurate with the error of the calculation methods.Derivatives of lift coefficient by the following kinematic parameters: angle of attack, the angular velocity of rotation around the transverse axis , rate of change of angle of attack and angle of elevator deflection are defined.Obtained results make it possible to analyze the movement of the UAV in the longitudinal channel and determinate the coefficients of a mathematical model of the UAV. Also possible to determinate the stability and controllability of the UAV during automatic control systems design.

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Rye, D. C. "Longitudinal stability of a hovering, tethered rotorcraft." Journal of Guidance, Control, and Dynamics 8, no. 6 (November 1985): 743–52. http://dx.doi.org/10.2514/3.20050.

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Olson, B. J., S. W. Shaw, and G. Stépán. "Stability and Bifurcation of Longitudinal Vehicle Braking." Nonlinear Dynamics 40, no. 4 (June 2005): 339–65. http://dx.doi.org/10.1007/s11071-005-7291-x.

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SINGH, Ritesh, Om PRAKASH, Sudhir JOSHI, and Yogananda JEPPU. "Longitudinal Trim and Stability Analysis of Generic Air-Breathing Hypersonic Vehicle using Bifurcation Method." INCAS BULLETIN 14, no. 3 (September 9, 2022): 111–23. http://dx.doi.org/10.13111/2066-8201.2022.14.3.10.

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The Air-breathing Hypersonic Vehicle (AHV) can meet the futuristic goals of rapid global travel, to Low-Earth Orbit and into space in near-term decades. This paper presents the study of the trim and stability characteristics of the 3DOF longitudinal model of the generic AHV. Longitudinal 3DOF AHV simulation is developed with the aerodynamic model for trim analysis considering the complete flight envelope for Mach number from M=0 to 24. Dynamic model simulation of the 3DOF AHV is performed for the trim conditions and stability of the AHV flight for the complete envelope. Bifurcation Analysis is implemented with the longitudinal 3DOF AHV model for trim analysis and stability for the complete AHV flight envelope.

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Xing, Xiao Jun, and Jian Guo Yan. "Augmented-Stability Controller Design for a UAV’s Longitudinal Motion." Applied Mechanics and Materials 63-64 (June 2011): 533–36. http://dx.doi.org/10.4028/www.scientific.net/amm.63-64.533.

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With the purpose of overcoming the defect that unmanned air vehicles (UAVs) are easily disturbed by air current and tend to be unstable, an augmented-stability controller was developed for a certain UAV’s longitudinal motion. According to requirements of short-period damping ratio and control anticipation parameter (CAP) in flight quality specifications of GJB185-86 and C*, linear quadratic regulator (LQR) theory was used in the augmented-stability controller’s design. The simulation results show that the augmented-stability controller not only improves the UAV’s stability and dynamic characteristics but also enhances the UAV’s robustness.

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Shen, Huan, and Yun-Sheng Tan. "Vehicle handling and stability control by the cooperative control of 4WS and DYC." Modern Physics Letters B 31, no. 19-21 (July 27, 2017): 1740090. http://dx.doi.org/10.1142/s0217984917400905.

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This paper proposes an integrated control system that cooperates with the four-wheel steering (4WS) and direct yaw moment control (DYC) to improve the vehicle handling and stability. The design works of the four-wheel steering and DYC control are based on sliding mode control. The integration control system produces the suitable 4WS angle and corrective yaw moment so that the vehicle tracks the desired yaw rate and sideslip angle. Considering the change of the vehicle longitudinal velocity that means the comfort of driving conditions, both the driving torque and braking torque are used to generate the corrective yaw moment. Simulation results show the effectiveness of the proposed control algorithm.

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Johnson, Nicholas S., and Hampton C. Gabler. "Reduction in Fatal Longitudinal Barrier Crash Rate Due to Electronic Stability Control." Transportation Research Record: Journal of the Transportation Research Board 2521, no. 1 (January 2015): 79–85. http://dx.doi.org/10.3141/2521-08.

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Electronic stability control (ESC) is a vehicle safety system designed to keep vehicles moving in the direction commanded by the driver and thereby prevent loss-of-control crashes. Previous research has shown that ESC has been highly effective at reducing road departures related to loss of control. ESC is mandatory in all U.S. passenger vehicles manufactured from model year 2012 onward; by a 2014 estimate, ESC is in approximately one-third of passenger vehicles on the road. The proliferation of ESC may therefore alter benefit-to-cost ratios for roadside barriers. The objective of this analysis was to determine the effect of ESC on fatal crashes with roadside barriers. This objective was a first step toward determining whether ESC reduced the overall rate of crashes with roadside barriers and whether ESC had any effect on impact conditions or injury outcomes in barrier crashes. For cars, ESC reduced the odds of fatal crashes with roadside barriers by about 50% and reduced the odds of fatal rollovers that occurred in association with roadside barriers by about 45%. For light trucks and vans, ESC reduced barrier fatality odds by about 40% and barrier-associated rollover fatality odds by about 55%. By 2028, when an estimated 75% of passenger vehicles will have electronic stability control, ESC will have the potential to prevent about 410 out of an estimated 1,180 possible barrier-related fatalities per year. In the long term, once installed in every U.S. passenger vehicle, ESC could prevent about 550 of those same 1,180 possible barrier-related fatalities each year.

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Jin, Liqiang, Pengfei Chen, Ronglin Zhang, and Mingze Ling. "Longitudinal velocity estimation based on fuzzy logic for electronic stability control system." Advances in Mechanical Engineering 9, no. 5 (May 2017): 168781401769866. http://dx.doi.org/10.1177/1687814017698662.

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Smucny, Jason, Tyler A. Lesh, Ana-Maria Iosif, Tara A. Niendam, Laura M. Tully, and Cameron S. Carter. "Longitudinal stability of cognitive control in early psychosis: Nondegenerative deficits across diagnoses." Journal of Abnormal Psychology 127, no. 8 (November 2018): 781–88. http://dx.doi.org/10.1037/abn0000356.

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Lee, Keum W., and Sahjendra N. Singh. "Longitudinal nonlinear adaptive autopilot design for missiles with control constraint." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 232, no. 9 (April 5, 2017): 1655–70. http://dx.doi.org/10.1177/0954410017699002.

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This paper develops a new nonlinear adaptive longitudinal autopilot for the control of missiles with control input constraint, in the presence of parametric uncertainties and external disturbance input. The objective here is to control the angle of attack of the missile. A saturating control law is derived for the trajectory control of the angle of attack. The control law includes an auxiliary dynamic system in the feedback loop, driven by control input error signal, caused by control saturation, to preserve stability in the closed-loop system. By the Lyapunov stability analysis, it is shown that in the closed-loop system, the system trajectories are uniformly ultimately bounded. Simulation results show that the designed autopilot with constrained input can accomplish accurate trajectory control if the control saturation period is short. It is also seen that although the tracking error increases with the saturation period, the angle of attack tends to zero, once the command input is set to zero. Furthermore this adaptive control system, including the control error signal feedback loop, performs better than the adaptive laws, designed earlier based on immersion and invariance principle, without control magnitude constraint.

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Bloy, A. W., J. T. Turner, and A. Rizzi. "An Interactive Multimedia Computer Program on Aircraft Stability and Control." International Journal of Mechanical Engineering Education 25, no. 3 (July 1997): 231–39. http://dx.doi.org/10.1177/030641909702500308.

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A pilot interactive multimedia computer program on aircraft longitudinal static stability and trim is described. The module simulates typical features of an undergraduate course and has been evaluated by third-year undergraduate students familiar with the topic. In general, favourable comments have been made, particularly concerning the ease of use, overall presentation, level of interactivity and the simulation of a wind-tunnel experiment. Applications of the program are suggested.

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Nasir, Rizal E. M., and Wahyu Kuntjoro. "Longitudinal Flight Stability Augmentation of a Small Blended Wing-Body Aircraft with Canard as Control Surface." Applied Mechanics and Materials 393 (September 2013): 329–37. http://dx.doi.org/10.4028/www.scientific.net/amm.393.329.

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Transient response of an aircraft in longitudinal motion has two modes of oscillatory motion short period mode and phugoid modes and failure to achieve satisfactory level would mean poor flying and handling qualities leading to unnecessary pilot workload. This study proposes a stability augmentation system (SAS) in longitudinal flying modes for steady and level flight at all airspeeds and altitudes within Baseline-II E-2 BWBs operational flight envelope (OFE). The main controlling component of this stability augmentation system is a set of canard, a control surface located in front of the wing. It must be able to compensate Baseline-II E-2 BWB poor transient responses damping ratios so that good flying quality can be achieved. Observation from the transient responses of the unaugmented system signify high-frequency short-period oscillations with almost constant low damping ratio at an altitude, and low-frequency phugoid oscillation with varying damping ratio depending on airspeed. A conclusive behaviour of natural frequencies and damping ratios against dynamic pressure leads to the understanding on how dynamic pressure influences the flying qualities. Derivation of dynamic equations in terms of dynamic pressures enables one to design and device a feedback system to compensate poor flying qualities of the original unaugmented aircraft with conclusive relationship between important parameters and dynamic pressure are put in the overall dynamic equation. Two feedback gain systems, pitch attitude and pitch rate gains are scheduled based on dynamic pressure values and are combined into the aircraft longitudinal SAS. The proposed SAS has proven to be the suitable candidate for Baseline-II E-2 BWB as it is able to ensure Level 1 flying qualities, longitudinally.

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Zhang, Rang, and Gang Shen. "Cooperative Control of Tire Longitudinal and Lateral Forces of Distributed Drive Virtual Rail Train." Journal of Physics: Conference Series 2437, no. 1 (January 1, 2023): 012117. http://dx.doi.org/10.1088/1742-6596/2437/1/012117.

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Abstract Hub motors are distributed on different wheels of the virtual rail train (VRT), forming a distributed drive mode, which is conducive to simplifying the transmission system and improving the stability and mobility of VRT. How to coordinate the relationship between the longitudinal and lateral forces of tires is a problem that must be solved. This paper proposes a hierarchical cooperative control method of the longitudinal and lateral forces of tires, in which the control decision-making layer ensures the steering stability and path following performance of VRT, and establishes an objective function based on the tire load rate at the distribution layer to distribute the longitudinal and lateral forces of each tire. The co-simulation results based on MATLAB / Simulink and multi-body dynamics software UM show that the cooperative control method not only ensures the specific track requirements of the train, but also reduces the peak load rate of the tire, optimizes the distribution of the load rate, and greatly improves the stability of the train in the steering process.

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Sharp, Robin S. "On the stability and control of unicycles." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 466, no. 2118 (January 20, 2010): 1849–69. http://dx.doi.org/10.1098/rspa.2009.0559.

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A mathematical model of a unicycle and rider, with a uniquely realistic tyre force and moment representation, is set up with the aid of multibody modelling software. The rider’s upper body is joined to the lower body through a spherical joint, so that wheel, yaw, pitch and roll torques are available for control. The rider’s bandwidth is restricted by low-pass filters. The linear equations describing small perturbations from a straight-running state are shown, which equations derive from a parallel derivation yielding the same eigenvalues as obtained from the first method. A nonlinear simulation model and the linear model for small perturbations from a general trim (or dynamic equilibrium) state are constructed. The linear model is used to reveal the stability properties for the uncontrolled machine and rider near to straight running, and for the derivation of optimal controls. These controls minimize a cost function made up of tracking errors and control efforts. Optimal controls for near-straight-running conditions, with left/right symmetry, and more complex ones for cornering trims are included. Frequency responses of some closed-loop systems, from the former class, demonstrate excellent path-tracking qualities within bandwidth and amplitude limits. Controls are installed for path-following trials. Lane-change and clothoid manoeuvres are simulated, demonstrating good-quality tracking of longitudinal and lateral demands. Pitch torque control is little used by the rider, while yaw and roll torques are complementary, with the former being more useful in transients, while the latter has value also in steady states. Wheel torque is influential on lateral control in turning. Adaptive control by gain switching is used to enable clothoid tracking up to lateral accelerations greater than 1 m s −2 . General control of the motions of a virtual or robotic unicycle will be possible through the addition of more comprehensive adaptation to the control scheme described.

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Wang, Xin, Xin Chen, and Liyan Wen. "Adaptive Disturbance Rejection Control for Automatic Carrier Landing System." Mathematical Problems in Engineering 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/7345056.

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An adaptive disturbance rejection algorithm is proposed for carrier landing system in the final-approach. The carrier-based aircraft dynamics and the linearized longitudinal model under turbulence conditions in the final-approach are analyzed. A stable adaptive control scheme is developed based on LDU decomposition of the high-frequency gain matrix, which ensures closed-loop stability and asymptotic output tracking. Finally, simulation studies of a linearized longitudinal-directional dynamics model are conducted to demonstrate the performance of the adaptive scheme.

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