首页|基于反步滑模方法的车辆纵向自适应控制

基于反步滑模方法的车辆纵向自适应控制

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车辆纵向控制是自动驾驶研究的关键技术之一,建立了复杂的车辆纵向动力学模型,设计了合适的控制算法,并构造了控制器,提升了控制性能.首先,在考虑道路倾角、轮胎形变和车轮滑动等影响因素的基础上,建立了复杂的车辆纵向动力学模型;然后,综合运用自适应方法和反步滑模控制方法对所建模型设计控制器,并对控制系统的稳定性作了证明;最后,采用MATLAB/Simulink软件对控制系统进行仿真分析.研究结果表明:通过自适应反步滑模方法设计的控制器具有较好的稳定性,能够控制车辆以极小的误差以期望速度行驶.研究成果可为车辆自动驾驶及交通拥堵的缓解提供技术支撑.
Vehicle longitudinal adaptive control based on backstepping sliding mode method
Vehicle longitudinal control is one of the key core technologies in autonomous driving research.This study established a complex vehicle longitudinal dynamics model,designed appropriate control algorithms,and constructed controllers,improving control performance.Firstly,a complex vehicle longitudinal dynamics model was established considering factors such as road inclination,tire deformation,and wheel slip.Then,the adaptive method and the backstepping sliding mode control method were used to design the controller for the model,and the stability of the control system was proved.Finally,MATLAB/Simulink was used for simulation analysis of the control system.The research results indicate that the controller designed with the adaptive backstepping sliding mode method has good stability and can control the vehicle to travel at the expected speed with a minimal error.The research results can provide technical support for autonomous driving and alleviation of traffic congestion.

vehicle longitudinal controlbackstepping sliding mode methodadaptive controlspeed control

黄益绍、卞梦圆

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长沙理工大学 交通运输工程学院,湖南 长沙 410114

车辆纵向控制 反步滑模方法 自适应控制 速度控制

湖南省自然科学基金项目

2022JJ30619

2024

交通科学与工程
长沙理工大学

交通科学与工程

影响因子:0.444
ISSN:1674-599X
年,卷(期):2024.40(5)
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