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Journal articles on the topic 'Lateral Stability Control'

Author: Grafiati

Published: 10 March 2023

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1

Alves, Jorge Augusto Vasconcelos, Caio Igor Goncalves Chinelato, and Bruno Augusto Angelico. "Vehicle Lateral Stability Regions for Control Applications." IEEE Access 10 (2022): 87787–802. http://dx.doi.org/10.1109/access.2022.3199752.

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2

Emırler, M. T., K. Kahraman, M. Şentürk, O. U. Acar, B. Aksun Güvenç, L. Güvenç, and B. Efendıoğlu. "Lateral stability control of fully electric vehicles." International Journal of Automotive Technology 16, no. 2 (March 10, 2015): 317–28. http://dx.doi.org/10.1007/s12239-015-0034-1.

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3

Jo, J. S., S. H. You, J. Y. Joeng, K. I. Lee, and K. Yi. "Vehicle stability control system for enhancing steerabilty, lateral stability, and roll stability." International Journal of Automotive Technology 9, no. 5 (October 2008): 571–76. http://dx.doi.org/10.1007/s12239-008-0067-9.

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4

Zhou, Shu Wen, Hai Shu Chen, Si Qi Zhang, and Li Xin Guo. "Vehicle Dynamics Control for Tractor Semitrailer Lateral Stability." Applied Mechanics and Materials 16-19 (October 2009): 544–48. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.544.

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Rollover and jack-knifing of tractor semitrailer on high speed obstacle avoidance under emergency are serious threats for motorists. A tractor semitrailer model was built with multi-rigid-body method in this paper. The steering performance of tractor semitrailer has been analyzed, as well as the stability control theory, including yaw rate following, anti-rollover. The dynamics simulation for yaw rate following and anti-rollover has been performed on the dynamic tractor semitrailer. The results show that the vehicle dynamics control proposed in this paper can stabilize the tractor semitrailer, rollover and jack-knifing are prevented and the tractor semitrailer more accurately follows the driver's desired path.

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5

Klein, Ralf, Ulrich Demi, and Thomas Brandmeier. "Improvement of Vehicle Stability Through Lateral Dynamics Control." IFAC Proceedings Volumes 30, no. 7 (June 1997): 83–87. http://dx.doi.org/10.1016/s1474-6670(17)43244-7.

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6

Chen, Wuwei, Rongyun Zhang, Linfeng Zhao, Hongbo Wang, and Zhenya Wei. "Control of chaos in vehicle lateral motion using the sliding mode variable structure control." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 4 (February 6, 2018): 776–89. http://dx.doi.org/10.1177/0954407017753529.

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A 3-degree of freedom (DOF) nonlinear model including yaw, lateral, and roll motions was constructed, and a numerical simulation of chaotic behavior was performed using the Lyapunov exponent method. The vehicle motion is complex, manifesting double-periodic, quasi-periodic, and chaotic phases, which negatively affects the vehicle lateral stability. To control this chaotic behavior, a controller was designed based on the sliding mode variable structure control (SM-VSC) method. To decrease chattering and further improve lateral stability of the vehicle under extreme operating conditions, the adaptive power reaching law was realized by using a fuzzy control method. The performance of the SM-VSC system was simulated by using Matlab/simulink. The simulation results including the uncontrol, SM-VSC control, and adaptive-reaching SM-VSC control were compared, which demonstrated that the adaptive-reaching SM-VSC control method is more effective in suppressing the chaotic phase of the vehicle lateral motion. The approach proposed in this paper can significantly improve a vehicle’s lateral stability under extreme operating conditions.

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7

Song, Bongsob, J. Karl Hedrick, and Yeonsik Kang. "Dynamic Surface Control and Its Application to Lateral Vehicle Control." Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/693607.

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This paper extends the design and analysis methodology of dynamic surface control (DSC) in Song and Hedrick, 2011, for a more general class of nonlinear systems. When rotational mechanical systems such as lateral vehicle control and robot control are considered for applications, sinusoidal functions are easily included in the equation of motions. If such a sinusoidal function is used as a forcing term for DSC, the stability analysis faces the difficulty due to highly nonlinear functions resulting from the low-pass filter dynamics. With modification of input variables to the filter dynamics, the burden of mathematical analysis can be reduced and stability conditions in linear matrix inequality form to guarantee the quadratic stability via DSC are derived for the given class of nonlinear systems. Finally, the proposed design and analysis approach are applied to lateral vehicle control for forward automated driving and backward parallel parking at a low speed as well as an illustrative example.

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8

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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9

Xie, Yunfeng, Cong Li, Hui Jing, Weibiao An, and Junji Qin. "Integrated Control for Path Tracking and Stability Based on the Model Predictive Control for Four-Wheel Independently Driven Electric Vehicles." Machines 10, no. 10 (September 26, 2022): 859. http://dx.doi.org/10.3390/machines10100859.

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Four-wheel independently driven electric vehicles are prone to rollover when driving at high speeds on high-adhesion roads and to sideslip on low-adhesion roads, increasing the risks associated with such vehicles. To solve this problem, this study proposes a path tracking and stability-integrated controller based on a model predictive control algorithm. First, a vehicle planar dynamics model and a roll dynamics model are established, and the lateral velocity, yaw rate, roll angle, and roll angle velocity of the vehicle are estimated based on an unscented Kalman filter. The lateral stiffness of the tires is estimated online according to the real-time feedback state of the vehicle. Then, the path tracking controller, roll stability controller, and lateral stability controller are designed. An integrated control strategy is designed for the path tracking and stability, and the conditions and coordination strategies for the vehicle roll and lateral stability state in the path tracking are studied. The simulation results show that the proposed algorithm can effectively limit the lateral load transfer rate on high-adhesion roads and the sideslip angle on low-adhesion roads at high speeds. Hence, the driving stability of the vehicle under different road adhesion coefficients can be ensured and the path tracking performance can be improved.

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10

Cai, Haohao, and Xiaomei Xu. "Lateral Stability Control of a Tractor-Semitrailer at High Speed." Machines 10, no. 8 (August 20, 2022): 716. http://dx.doi.org/10.3390/machines10080716.

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To improve the high-speed lateral stability of the tractor-semitrailer, a lateral stability control strategy based on the additional yaw moment caused by differential braking is proposed and investigated based on the co-simulation environment. First of all, a five-degree-of-freedom (5-DOF) yaw-roll dynamic model of the tractor-semitrailer is established, and the model accuracy is verified. Secondly, the lateral stability control strategy of the tractor-semitrailer is proposed, two yaw moment controllers and the braking torque distributor are designed. Then, the effectiveness of the proposed control strategy and the influence of the yaw moment controller on the lateral stability of the tractor-semitrailer are investigated under the high-speed lane-change maneuvers. Finally, the controller robustness is discussed. Research results show that the proposed high-speed lateral stability control strategy can ensure the tractor-semitrailer to perform safely the single lane-change (SLC) maneuver at 110 km/h and the double lane-change (DLC) maneuver at 88 km/h; the yaw moment controller has significant influence on the lateral dynamic performance of the tractor-semitrailer; compared with the proportional-derivative (PD) control, the model predictive control (MPC) can make the tractor-semitrailer obtain better lateral stability under high-speed lane-change maneuvers; MPC and PD controllers exhibit good robustness to the considered vehicle parameter uncertainties.

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11

Yin, Wei Qiao, Jing Li, You De Li, and Qing Wei. "Vehicle Stability Control Based on Generalized Predictive Contol." Advanced Materials Research 774-776 (September 2013): 448–54. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.448.

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For the uncertain environmental factors existing in the vehicle systems, in this paper we established linear two degree-of-freedom vehicle dynamics state-space model which considering lateral interference, and designed the vehicle chassis coordination controller based on generalized predictive control, utilized combined steering and braking control to strengthen the vehicle yaw and lateral stability. Simulation and Analysis for the controller in MATLAB/Simulink environment were conducted, the results verified the feasibility and effectiveness of the control methods.

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12

Yu, Jiaxing, Xiaofei Pei, Xuexun Guo, JianGuo Lin, and Maolin Zhu. "Path tracking framework synthesizing robust model predictive control and stability control for autonomous vehicle." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 234, no. 9 (May 4, 2020): 2330–41. http://dx.doi.org/10.1177/0954407020914666.

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This paper proposes a framework for path tracking under additive disturbance when a vehicle travels at high speed or on low-friction road. A decoupling control strategy is adopted, which is made up of robust model predictive control and the stability control combining preview G-vectoring control and direct yaw moment control. A vehicle-road model is adopted for robust model predictive control, and a robust positively invariant set calculated online ensures state constraints in the presence of disturbances. Preview G-vectoring control in stability control generates deceleration and acceleration based on lateral jerk, later acceleration, and curvature at preview point when a vehicle travels through a cornering. Direct yaw moment control with additional activating conditions provides an external yaw moment to stabilize lateral motion and enhances tracking performance. A comparative analysis of stability performance of stability control is presented in simulations, and furthermore, many disturbances are considered, such as varying wind, road friction, and bounded state disturbances from motion planning and decision making. Simulation results show that the stability control combining preview G-vectoring control and direct yaw moment control with additional activating conditions not only guarantees lateral stability but also improves tracking performance, and robust model predictive control endows the overall control system with robustness.

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13

Chien, Pai-Chen, and Chih-Keng Chen. "Integrated Chassis Control and Control Allocation for All Wheel Drive Electric Cars with Rear Wheel Steering." Electronics 10, no. 22 (November 22, 2021): 2885. http://dx.doi.org/10.3390/electronics10222885.

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This study investigates a control strategy for torque vectoring (TV) and active rear wheel steering (RWS) using feedforward and feedback control schemes for different circumstances. A comprehensive vehicle and combined slip tire model are used to determine the secondary effect and to generate desired yaw acceleration and side slip angle rate. A model-based feedforward controller is designed to improve handling but not to track an ideal response. A feedback controller based on close loop observation is used to ensure its cornering stability. The fusion of two controllers is used to stabilize a vehicle’s lateral motion. To increase lateral performance, an optimization-based control allocation distributes the wheel torques according to the remaining tire force potential. The simulation results show that a vehicle with the proposed controller exhibits more responsive lateral dynamic behavior and greater maximum lateral acceleration. The cornering safety is also demonstrated using a standard stability test. The driving performance and stability are improved simultaneously by the proposed control strategy and the optimal control allocation scheme.

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14

Stenfelt, Gloria, and Ulf Ringertz. "Lateral Stability and Control of a Tailless Aircraft Configuration." Journal of Aircraft 46, no. 6 (November 2009): 2161–64. http://dx.doi.org/10.2514/1.41092.

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15

SAKAI, Hideki. "Influence of turning lateral acceleration on force control stability." Proceedings of the Transportation and Logistics Conference 2019.28 (2019): 2207. http://dx.doi.org/10.1299/jsmetld.2019.28.2207.

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16

Hu, J., B. Huo, Z. Yang, and H. Liu. "Lateral Stability Control of 4WD Vehicle considering Ride Performance." Advances in Mechanical Engineering 6 (February 14, 2015): 742520. http://dx.doi.org/10.1155/2014/742520.

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17

You, Seung-Han, Joon-Sang Jo, Seungjin Yoo, Jin-Oh Hahn, and Kyo Il Lee. "Vehicle lateral stability management using gain-scheduled robust control." Journal of Mechanical Science and Technology 20, no. 11 (November 2006): 1898–913. http://dx.doi.org/10.1007/bf03027583.

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18

Jangyeol Yoon, Wanki Cho, Bongyeong Koo, and Kyongsu Yi. "Unified Chassis Control for Rollover Prevention and Lateral Stability." IEEE Transactions on Vehicular Technology 58, no. 2 (February 2009): 596–609. http://dx.doi.org/10.1109/tvt.2008.927724.

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19

van Wegen, Erwin E. H., Richard E. A. van Emmerik, Robert C. Wagenaar, and Terry Ellis. "Stability Boundaries and Lateral Postural Control in Parkinson's Disease." Motor Control 5, no. 3 (July 2001): 254–69. http://dx.doi.org/10.1123/mcj.5.3.254.

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20

Huang, Bin, Sen Wu, Song Huang, and Xiang Fu. "Lateral Stability Control of Four-Wheel Independent Drive Electric Vehicles Based on Model Predictive Control." Mathematical Problems in Engineering 2018 (2018): 1–15. http://dx.doi.org/10.1155/2018/6080763.

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Four-wheel independent drive electric vehicle was used as the research object to discuss the lateral stability control algorithm, thus improving vehicle stability under limit conditions. After establishing hierarchical integrated control structure, we designed the yaw moment decision controller based on model predictive control (MPC) theory. Meanwhile, the wheel torque was assigned by minimizing the sum of consumption rates of adhesion coefficients of four tires according to the tire friction ellipse theory. The integrated simulation platform of Carsim and Simulink was established for simulation verification of yaw/rollover stability control algorithm. Then, we finished road experiment verification of real vehicle by integrated control algorithm. The result showed that this control method can achieve the expectation of effective vehicle tracking, significantly improving the lateral stability of vehicle.

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21

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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22

Tang, Xuequan, Yunbing Yan, Baohua Wang, Xiaowei Xu, and Lin Zhang. "Analysis of Intrinsic Mechanistic of Stability-Tracking Control for Distributed Drive Autonomous Electric Vehicle." Electronics 10, no. 23 (December 2, 2021): 3010. http://dx.doi.org/10.3390/electronics10233010.

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For distributed drive autonomous vehicles, adding lateral stability control (LSC) to the trajectory tracking control (TTC) can optimize the distribution of the driving torque of each wheel, so that the vehicle can track the planned trajectory while maintaining stable lateral motion. However, the influence of adding LSC on the TTC system is still unclear. Firstly, a stability-track hierarchical control structure composed of LSC and TTC was established, and the interaction between the two layers was identified as the key of this paper. Then, the Intrinsic Mechanistic framework of the stability-tracking control (STC) was proposed by establishing and analyzing the vehicle dynamic model and control process of two layers. Finally, through simulation experiments, it was found that the change in the curvature of the target trajectory will make the tracking target trajectory and maintaining the lateral stability of the vehicle appear to conflict; in addition, in the LSC layer, the steering characteristics and delay characteristics of different reference models have a greater impact on the lateral stability and trajectory tracking performance; moreover, adjusting the preview time has a more obvious effect on trajectory tracking and lateral stability than the stability correction intensity coefficient.

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23

Zhu, Yunsheng, Huacong Li, Kaifeng Wang, Yunhan Bao, and Peng Zeng. "A Simulation Study for Lateral Stability Control of Vehicles on Icy Asphalt Pavement." Journal of Advanced Transportation 2022 (April 9, 2022): 1–15. http://dx.doi.org/10.1155/2022/7361881.

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Black ice is an ice layer formed by freezing rain or accumulated water on the asphalt pavement surface in cold weather. This ice layer completely shields the texture structure of the pavement and destroys the original microstructure. The direct contact between the automobile tire and the ice surface leads to a sharp decrease in the adhesion coefficient, so the automobile is prone to lateral instability on the icy pavement. In this paper, the simulation model of the icy pavement is established in Matlab/Simulink to verify the control effect of the lateral stability controller based on the Electronic Stability Program under two steering limit conditions. The results show that the vehicle without a lateral stability controller will lose stability and sideslip even when it is steering at low speed on the icy pavement, and the lateral stability controller can effectively control the yaw rate of the vehicle when it is steering, which greatly reduces the offset of the sideslip angle of the centroid and inhibits the lateral acceleration exceeding the ice surface limit, which improves the maneuverability and stability of the vehicle under the freezing limit condition. The application of the controller is of great significance to improve the driving safety of the regional asphalt pavement. Due to the low adhesion coefficient of the icy pavement and the limited braking force and additional yaw moment of the tire provided by the adhesion force, the vehicle with a lateral stability controller is still likely to lose stability under the critical condition of medium or high-speed single shift line.

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24

Tabti, Khatir, Mohamend Bourahla, and Lotfi Mostefai. "Hybrid Control of Electric Vehicle Lateral Dynamics Stabilization." Journal of Electrical Engineering 64, no. 1 (January 1, 2013): 50–54. http://dx.doi.org/10.2478/jee-2013-0007.

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This paper presents a novel method for motion control applied to driver stability system of an electric vehicle with independently driven wheels. By formulating the vehicle dynamics using an approximating the tire-force characteristics into piecewise affine functions, the vehicle dynamics cen be described as a linear hybrid dynamical system to design a hybrid model predictive controller. This controller is expected to make the yaw rate follow the reference ensuring the safety of the car passengers. The vehicle speed is estimated using a multi-sensor data fusion method. Simulation results in Matlab/Simulink have shown that the proposed control scheme takes advantages of electric vehicle and enhances the vehicle stability.

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25

Li, Xian. "Lateral stability control of distributed driven electric vehicle based on sliding mode control." E3S Web of Conferences 252 (2021): 01044. http://dx.doi.org/10.1051/e3sconf/202125201044.

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Aiming at the lateral stability control problem of distributed driven electric vehicles under high speed steering condition, a hierarchical control algorithm of direct yaw moment is designed. The upper control takes the 2-DOF vehicle model as the reference model and uses the sliding mode control to obtain the required yaw moment by tracking the desired yaw velocity and the desired vehicle side-slip angle. The lower control optimizes the distribution of four wheel torque with the minimum tire utilization rate. Finally, Carsim/Simulink was used for model building and co-simulation, and the control effect of PID algorithm was compared. The results show the hierarchical control algorithm achieves the expected goal of improving vehicle lateral stability.

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26

Zhao, Jing Bo, Shao Yi Bei, and Lan Chun Zhang. "On Reverse Control Strategy and Anti-Wind Disturbance Analysis of Automotive EPS System." Applied Mechanics and Materials 39 (November 2010): 529–34. http://dx.doi.org/10.4028/www.scientific.net/amm.39.529.

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Under the special situation of lateral wind disturbance, the lateral direction was resulted from the conventional obverse control strategy and influenced the vehicle stability. The 2-DOF full-vehicle model with the lateral wind disturbance and EPS dynamic model were designed. Reverse control strategy was designed where the EPS motor provided active steering control to prevent vehicle deflection with the input signal of steering torque under the lateral wind disturbance. In the EPS working process, the reverse control strategy and obverse control strategy were switched according to the drive situation to obtain the best vehicle stability. Anti-disturbance simulation was executed and the results shown that the yaw rate, the slideslip angle, the lateral acceleration and the lateral displacement have been weakened, and the vehicle stability is enhanced. The design of reverse control strategy has engineering significance to the overall design, function enhancement and optimization and steering manipulation and safety improvement.

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27

Yang, Fu Guang, Jiu Hong Ruan, and Yi Bin Li. "Simulation of the Integrated ABS and DYC Control for 4WID Electric Vehicle with Regenerative Braking." Applied Mechanics and Materials 313-314 (March 2013): 1125–29. http://dx.doi.org/10.4028/www.scientific.net/amm.313-314.1125.

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Study the lateral stability control method with regenerative braking for 4WID electrical vehicle whiling braking, an integrated control strategy with primary objective to enhance vehicle lateral stability was proposed, by which the regenerative braking, hydraulic braking, ABS and direct yaw moment control system were coordinated effectively. Simulation results on split-μ road indicated that compared with traditional ABS, the integrated control method can improve the lateral stability of vehicle at urgent braking condition, and increase the mileage of electric vehicles.

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28

Crimi, Peter. "Lateral stability of gliding parachutes." Journal of Guidance, Control, and Dynamics 13, no. 6 (November 1990): 1060–63. http://dx.doi.org/10.2514/3.20579.

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29

Rahimi, Shahab, and Mahyar Naraghi. "Design of an integrated control system to enhance vehicle roll and lateral dynamics." Transactions of the Institute of Measurement and Control 40, no. 5 (January 23, 2017): 1435–46. http://dx.doi.org/10.1177/0142331216685389.

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Besides lateral instability, one major threat to all ground vehicles, especially SUVs, is the danger of rollover during cornering. A coordination strategy based on fuzzy logic has been devised to coordinate the sub-controls; namely, active steering, active differential, active brake and a novel active roll control system. Independent study of each sub-control as well as an analysis of their inter-relationship has been carried out. The coordination strategy is supposed to resolve the conflict among control targets – which are sideslip regulation, yaw rate tracking, lateral acceleration tracking and roll motion control – all of which are to be done while maintaining the driver’s desired longitudinal acceleration. Thus, a compromise must be reached. Vehicle sideslip angle and yaw rate were considered to be the criteria for lateral stability; and a combination of roll angle, roll rate and lateral load transfer was selected as the criterion for roll stability. The results of simulations on two SUV models in CarSim software indicate that the integrated controller can successfully restore vehicles’ stability in critical condition.

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30

Cho, Wanki, and Seung-Han You. "Development of Integrated Chassis Control to Improve Lateral Vehicle Stability." Transaction of the Korean Society of Automotive Engineers 27, no. 8 (August 1, 2019): 619–26. http://dx.doi.org/10.7467/ksae.2019.27.8.619.

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31

YANG, Wei. "Co-simulation Analysis of Commercial Vehicle Lateral Stability Optimization Control." Journal of Mechanical Engineering 53, no. 2 (2017): 115. http://dx.doi.org/10.3901/jme.2017.02.115.

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32

Tian, Yantao, Xuanhao Cao, Xiaoyu Wang, and Yanbo Zhao. "Four wheel independent drive electric vehicle lateral stability control strategy." IEEE/CAA Journal of Automatica Sinica 7, no. 6 (November 2020): 1542–54. http://dx.doi.org/10.1109/jas.2019.1911729.

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33

Chadli, Mohammed, Ahmed Elhajjaji, and Mohammed Oudghiri. "Robust output fuzzy control for vehicle lateral dynamic stability improvement." International Journal of Modelling, Identification and Control 3, no. 3 (2008): 247. http://dx.doi.org/10.1504/ijmic.2008.020123.

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34

Ma, Yan, Jian Chen, Xiaoyuan Zhu, and Yanchuan Xu. "Lateral stability integrated with energy efficiency control for electric vehicles." Mechanical Systems and Signal Processing 127 (July 2019): 1–15. http://dx.doi.org/10.1016/j.ymssp.2019.02.057.

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35

Wang, Yankui, Xiangxi Tang, and Tao Li. "Lateral Stability and Control of a Flying Wing Configuration Aircraft." Journal of Physics: Conference Series 1509 (April 2020): 012022. http://dx.doi.org/10.1088/1742-6596/1509/1/012022.

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36

Kong, Xinxin, Baohua Wang, Wei Gao, and Zhaowen Deng. "Lateral stability control of distributed electric drive articulated heavy vehicles." International Journal of Vehicle Performance 9, no. 2 (2023): 1. http://dx.doi.org/10.1504/ijvp.2023.10053671.

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37

Li, Cong, YunFeng Xie, Gang Wang, XianFeng Zeng, and Hui Jing. "Lateral stability regulation of intelligent electric vehicle based on model predictive control." Journal of Intelligent and Connected Vehicles 4, no. 3 (October 25, 2021): 104–14. http://dx.doi.org/10.1108/jicv-03-2021-0005.

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Purpose This paper studies the lateral stability regulation of intelligent electric vehicle (EV) based on model predictive control (MPC) algorithm. Design/methodology/approach Firstly, the bicycle model is adopted in the system modelling process. To improve the accuracy, the lateral stiffness of front and rear tire is estimated using the real-time yaw rate acceleration and lateral acceleration of the vehicle based on the vehicle dynamics. Then the constraint of input and output in the model predictive controller is designed. Soft constraints on the lateral speed of the vehicle are designed to guarantee the solved persistent feasibility and enforce the vehicle’s sideslip angle within a safety range. Findings The simulation results show that the proposed lateral stability controller based on the MPC algorithm can improve the handling and stability performance of the vehicle under complex working conditions. Originality/value The MPC schema and the objective function are established. The integrated active front steering/direct yaw moments control strategy is simultaneously adopted in the model. The vehicle’s sideslip angle is chosen as the constraint and is controlled in stable range. The online estimation of tire stiffness is performed. The vehicle’s lateral acceleration and the yaw rate acceleration are modelled into the two-degree-of-freedom equation to solve the tire cornering stiffness in real time. This can ensure the accuracy of model.

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38

Zhang, An Jing, Yan Hai Xu, and Xin Lv. "The Application of HPWM in Improving Vehicle Lateral Stability." Advanced Materials Research 936 (June 2014): 2171–76. http://dx.doi.org/10.4028/www.scientific.net/amr.936.2171.

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The application of the High-frequency pulse width modulation (HPWM) for improving vehicle lateral stability is investigated in the paper. Firstly, a hydraulic control unit (HCU) combined with a high-speed switching valve (HSV) for controlling hydraulic oil pressure by adjusting duty cycle is presented. Then, a typical control strategy is described based on the application of HPWM. Finally, by using a 15dofs vehicle model, a simulation is carried out to investigate the role of HPWM on improving vehicle lateral stability. The results show that HPWM is capable to control the output pressure of HSV accurately and improve vehicle lateral stability effectively.

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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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Zhang, Sheng, and Xiangtao Zhuan. "Two-Dimensional Car-Following Control Strategy for Electric Vehicle Based on MPC and DQN." Symmetry 14, no. 8 (August 17, 2022): 1718. http://dx.doi.org/10.3390/sym14081718.

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For the coupling problem of longitudinal control and lateral control of vehicles, a two-dimensional (2-D) car-following control strategy for an electric vehicle is proposed in this paper. First, a 2-D car-following model for longitudinal following and lateral lane keeping is established. Then, a 2-D car-following control strategy is designed, and the longitudinal following control and lateral lane keeping control are integrated into one model predictive control (MPC) framework. The 2-D car-following strategy can realize the multi-objective coordinated optimization for longitudinal control and lateral control during the 2-D car-following process, and the multiple objectives are: safety, tracking, comfort, lane keeping, lateral stability and economy. In addition, the economy is important for electric vehicles. The weight matrix of the objective function in the MPC framework is symmetric, and the weight coefficients for the weight matrix have a great influence on the control. The contribution of this paper is: in order to adapt to different dynamic processes of lane keeping, the weight coefficients in the MPC framework are optimized in real-time based on the deep Q network (DQN) algorithm. Finally, to verify the 2-D car-following control strategy, a comparison strategy and two experimental scenarios are set, and simulation experiments are carried out. In scenario 1, compared with the comparison strategy, the lane keeping, lateral stability and economy of the proposed strategy are improved by 37.21%, 17.57% and 9.26%, respectively. In scenario 2, compared with the comparison strategy, the lane keeping, lateral stability and economy of the proposed strategy are improved by 36.45%, 16.66% and 18.52%, respectively. Therefore, compared with the comparison strategy, the 2-D car-following control strategy can have better lane keeping, lateral stability and economy on the premise of ensuring other performances during the 2-D car-following process.

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Zhao, Jian Zhu, Lu Zhang, Guo Ye Wang, Yan Chen, and Zhong Fu Zhang. "Safe Test System for the Turning Vehicles ESP Control Performances on the Lateral Restricted Vehicle System." Advanced Materials Research 694-697 (May 2013): 1334–39. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.1334.

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Project the lateral restricted vehicle system to establish a safe and efficient vehicle driving stability control test system. Aimed at Chery A3 car, based on Matlab/Simulink, establish the lateral restricted vehicle dynamic simulation system. Used the braking and driving integrated ESP control strategy, separately analyze the ESP control performances of the independent vehicle system and the lateral restricted vehicle system on three test conditions including neutral steering, under steering, over steering. The research results indicate that the ESP control performances of the lateral restricted vehicle system and the independent vehicle system have great uniformity on the three test conditions, provide a basis for the vehicle driving stability control test research.

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Pratt, C. A., J. Fung, and J. M. Macpherson. "Stance control in the chronic spinal cat." Journal of Neurophysiology 71, no. 5 (May 1, 1994): 1981–85. http://dx.doi.org/10.1152/jn.1994.71.5.1981.

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1. A longitudinal study of the control of quiet and perturbed stance was conducted before and for 1 yr after complete spinal transection (T12) in a cat trained to stand on a moveable force platform. 2. With daily training, the spinal cat recovered full weight support and some intermittent control of lateral stability within 1 mo. Within the second month postspinalization, the spinal cat achieved the ability to maintain independent, unassisted stance (no external support or stimulation) for up to 45 s during quiet stance, as well as for 62–97% of the trials of horizontal translations of the support surface. 3. Control of lateral stability in the spinal cat was severely compromised, however, as eventually the spinal cat always lost its balance. Head movements and the tendency for the hindlimbs to initiate stepping movements were more destabilizing than platform translations. 4. Our preliminary results indicate that the recovery of partial lateral stability of the hindquarters in the spinal cat is the product of passive muscle properties and segmental reflexes, which, in isolation can provide only limited balance control in the chronic spinal cat.

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Zhou, Shu Wen, Si Qi Zhang, and Guang Yao Zhao. "Study on High-Speed Lateral Stability of Car-Trailer Combination." Applied Mechanics and Materials 29-32 (August 2010): 1420–24. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.1420.

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Since the handling behaviour of car-trailer combination is more complex and less predictable than that of non-articulated vehicles, the drivers may lose control of the vehicle in some hasty steering maneuvers. The kinematics of car-trailer combination has been analyzed with a 3 DOF model. A modified Vehicle Dynamics Control system was designed to improve the lateral stability of the trailer. The dynamics simulation for lateral stability of car-trailer combination has been performed on the multi-body model. The results show that the lateral stability of car-trailer combination, including yaw rate and roll angle has been improved with the modified Vehicle Dynamics Control system.

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Zhou, Shu Wen, Si Qi Zhang, and Guang Yao Zhao. "Lateral Stability Control Design for Tractor Semitrailer Based on Virtual Prototyping." Advanced Materials Research 118-120 (June 2010): 728–32. http://dx.doi.org/10.4028/www.scientific.net/amr.118-120.728.

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Tractor semitrailers on high speed obstacle avoidance under emergency are likely to arise rollover or jack-knifing, which are serious risks for motorists. A dynamic stability analysis model of a three-axle tractor semitrailer vehicle is developed using the application tool. The linearized vehicle model is utilized to predict the dynamics state of the tractor semitrailer built in multibody dynamics simulation software. The lateral stability simulation for yaw rate following and anti-rollover has been performed on the dynamic model based on virtual prototyping. The results show that the lateral stability control based on tractor semitrailer proposed in this paper can stabilize the tractor semitrailer, rollover and jack-knifing can be prevented to a large extent.

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Lu, Yongjie, Tongtong Wang, and Hangxing Zhang. "Multiobjective Synchronous Control of Heavy-Duty Vehicles Based on Longitudinal and Lateral Coupling Dynamics." Shock and Vibration 2022 (July 21, 2022): 1–19. http://dx.doi.org/10.1155/2022/6987474.

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The steering system, suspension system, and braking system of the vehicle are interrelated, so the ride comfort and handling stability of the vehicle are also closely related. But the vertical and lateral dynamics equations and controls system of the vehicle are always independent of each other, and the multiobjective control is generally achieved through the coordination of control algorithms. In this paper, taking the dynamic load of the tire as a link, the vertical dynamic model and the lateral dynamic model of heavy-duty vehicle are coupled. When the heavy-duty vehicle is turning, the proposed coupling model not only reflects the influence of the front wheel angle on the vertical motion and the vertical tire load, but also reflects the unevenness of the road surface on vehicle lateral motion. In order to improve the handling stability and transient safety of the vehicle, a synchronous control system combining six-wheel steering and front wheel active steering is proposed. It solves the problem that it is difficult to effectively track the desired yaw rate for the three-axle all-wheel steering vehicle with the middle rear wheel angle as the control input. Under the framework of the vehicle vertical/lateral unified coupling dynamics model, the semiactive suspension system controlled by fuzzy PID and the six-wheel active steering system combined with fuzzy control and fuzzy PID control are integrated. It is verified that the synchronous control method effectively optimizes the vertical and lateral motion characteristics of heavy-duty vehicles during steering and, at the same time, improves the ride comfort and steering stability.

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Jung, H., B. Kwak, and Y. Park. "Improving the directional stability of a traction control system without additional sensors." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 216, no. 8 (August 1, 2002): 641–48. http://dx.doi.org/10.1177/095440700221600802.

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The traction control system (TCS) comprises a slip control subsystem and a directional stability subsystem. The slip controller can enhance the traction performance by maintaining the slip ratio within an appropriate range. Additional information about the lateral behaviour of the vehicle is necessary to enhance the directional stability during cornering or lane change on slippery roads. With an assumption of slowly varying steering input, a new method to measure the mixture of yaw rate and lateral acceleration, using the speed difference of non-driven wheels, is proposed. Using this measurement, the controller imposes independent pressure to each driven wheel and improves the stability during cornering on slippery roads or acceleration on split-μ roads without additional sensors such as yaw rate and lateral acceleration sensors. The proposed method is verified through simulation based on a 15-degrees-of-freedom (15 DOF) passenger car model.

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47

Zhou, Shuwen, and Siqi Zhang. "Study on Lateral Stability Control for Tractor Semi-trailer Based on Sliding Mode Control." Journal of Applied Sciences 13, no. 12 (June 1, 2013): 2173–77. http://dx.doi.org/10.3923/jas.2013.2173.2177.

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Li, B., and F. Yu. "Design of a vehicle lateral stability control system via a fuzzy logic control approach." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 224, no. 3 (December 2, 2009): 313–26. http://dx.doi.org/10.1243/09544070jauto1279.

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Lai, Fei, Chaoqun Huang, and Chengyue Jiang. "Comparative Study on Bifurcation and Stability Control of Vehicle Lateral Dynamics." SAE International Journal of Vehicle Dynamics, Stability, and NVH 6, no. 1 (November 9, 2021): 35–52. http://dx.doi.org/10.4271/10-06-01-0003.

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Dinçmen, E., T. Acarman, and B. Aksun Güvenç. "ABS Control Algorithm via Extremum Seeking Method with Enhanced Lateral Stability." IFAC Proceedings Volumes 43, no. 7 (July 2010): 19–24. http://dx.doi.org/10.3182/20100712-3-de-2013.00017.

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