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Research on Active Rear-Wheel Steering Control Method With Sliding Mode Control Optimized by Model Predictive

控制理论(社会学) 滑模控制 超调(微波通信) 卡西姆 抖动 偏航 模型预测控制 控制器(灌溉) 计算机科学 电子稳定控制 车辆动力学 工程类 控制工程 汽车工程 控制(管理) 非线性系统 人工智能 农学 生物 量子力学 物理 电信
作者
Chuanwei Zhang,Peng Gao,Jianlong Wang,Meng Dang,Xinyue Yang,Yansong Feng
出处
期刊:IEEE Access [Institute of Electrical and Electronics Engineers]
卷期号:11: 57228-57239 被引量:10
标识
DOI:10.1109/access.2023.3283330
摘要

At present, the rapid development of electric vehicles and the innovation of related technologies have made the active steering control technology of electric vehicles a hot research topic. In this paper, a rear-wheel active steering control strategy based on sliding mode predictive control algorithm was proposed to improve the handling stability and active safety of electric vehicles. Among them, for the jitter problem of the sliding mode control algorithm this paper corrects and optimizes the control rate of the sliding mode control algorithm by adopting the ideas of feedback correction and rolling optimization in the model predictive control algorithm to suppress the jitter problem of the sliding mode control algorithm. At the same time, joint Carsim/Simulink simulation experiments and hardware-in-the-loop experiments were completed under different working conditions, and the simulation results were compared and analyzed with those of front-wheel steering vehicles with the same parameters and active rear-wheel steering vehicles with the sliding mode control algorithm. According to the experimental results, the sliding mode control algorithm optimized based on the model prediction algorithm proposed in this paper reduces the steady-state error of the vehicle yaw rate and the overshoot of the yaw rate by 30.012% and 18.103%, respectively, compared with the sliding mode control algorithm, and the output of the controller eliminates its jitter. The results showed that the proposed sliding mode predictive control algorithm had better control accuracy, better transient response characteristics, and smoother control output. Compared with the front-wheel steering vehicle, the ideal value yaw rate and target trajectory were accurately tracked, and the deviations of yaw rate and sideslip angle were reduced by 28.324% and 68.517%, respectively. The results showed that the proposed active rear-wheel steering control strategy provided better high-speed handling stability and active safety for the vehicle.
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