{"title":"高速条件下分布式驱动总线稳定性控制算法研究","authors":"Shaopeng Zhu, Bangxuan Wei, Chen Ping, Minjun Shi, Chen Wang, Hui-yan Chen, Minglu Han","doi":"10.3390/wevj14120343","DOIUrl":null,"url":null,"abstract":"Aiming at the instability problem of a four-wheel independent drive electric bus under high-speed conditions, this paper first designs a vehicle yaw stability controller based on a linear two-degree-of-freedom model and a linear quadratic programming (LQR) algorithm. A vehicle roll stability controller is then designed based on a linear three-degree-of-freedom model and a model predictive control algorithm (MPC). Moreover, a coordinated control rule based on the lateral load transfer rate (LTR) is designed for the coupled problem of yaw and roll dynamics. Finally, the effectiveness of the proposed control algorithm is verified by simulation. The obtained results show that when the vehicle is running at a high speed of 90 km/h, the stability control algorithm can control the yaw rate tracking error within 0.05 rad/s. In addition, the control algorithm can reduce the maximum amplitude of the side slip angle, the maximum value of the roll angle, the maximum value of the roll angular velocity, and the amplitude of the lateral acceleration by more than 96%, 81.1%, 65.0%, and 11.1%, respectively.","PeriodicalId":38979,"journal":{"name":"World Electric Vehicle Journal","volume":"20 3","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Stability Control Algorithm of Distributed Drive Bus under High-Speed Conditions\",\"authors\":\"Shaopeng Zhu, Bangxuan Wei, Chen Ping, Minjun Shi, Chen Wang, Hui-yan Chen, Minglu Han\",\"doi\":\"10.3390/wevj14120343\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the instability problem of a four-wheel independent drive electric bus under high-speed conditions, this paper first designs a vehicle yaw stability controller based on a linear two-degree-of-freedom model and a linear quadratic programming (LQR) algorithm. A vehicle roll stability controller is then designed based on a linear three-degree-of-freedom model and a model predictive control algorithm (MPC). Moreover, a coordinated control rule based on the lateral load transfer rate (LTR) is designed for the coupled problem of yaw and roll dynamics. Finally, the effectiveness of the proposed control algorithm is verified by simulation. The obtained results show that when the vehicle is running at a high speed of 90 km/h, the stability control algorithm can control the yaw rate tracking error within 0.05 rad/s. In addition, the control algorithm can reduce the maximum amplitude of the side slip angle, the maximum value of the roll angle, the maximum value of the roll angular velocity, and the amplitude of the lateral acceleration by more than 96%, 81.1%, 65.0%, and 11.1%, respectively.\",\"PeriodicalId\":38979,\"journal\":{\"name\":\"World Electric Vehicle Journal\",\"volume\":\"20 3\",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2023-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"World Electric Vehicle Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/wevj14120343\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"World Electric Vehicle Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/wevj14120343","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
摘要
针对四轮独立驱动电动客车在高速条件下的不稳定性问题,本文首先基于线性二自由度模型和线性二次编程(LQR)算法设计了车辆偏航稳定性控制器。然后,基于线性三自由度模型和模型预测控制算法(MPC)设计了车辆侧倾稳定性控制器。此外,还针对偏航和侧倾动态耦合问题设计了基于横向负载转移率(LTR)的协调控制规则。最后,通过仿真验证了所提控制算法的有效性。结果表明,当车辆以 90 km/h 的高速行驶时,稳定控制算法可将偏航率跟踪误差控制在 0.05 rad/s 以内。此外,该控制算法还能将侧滑角最大振幅、侧滚角最大值、侧滚角速度最大值和侧向加速度振幅分别降低 96%、81.1%、65.0% 和 11.1%以上。
Research on Stability Control Algorithm of Distributed Drive Bus under High-Speed Conditions
Aiming at the instability problem of a four-wheel independent drive electric bus under high-speed conditions, this paper first designs a vehicle yaw stability controller based on a linear two-degree-of-freedom model and a linear quadratic programming (LQR) algorithm. A vehicle roll stability controller is then designed based on a linear three-degree-of-freedom model and a model predictive control algorithm (MPC). Moreover, a coordinated control rule based on the lateral load transfer rate (LTR) is designed for the coupled problem of yaw and roll dynamics. Finally, the effectiveness of the proposed control algorithm is verified by simulation. The obtained results show that when the vehicle is running at a high speed of 90 km/h, the stability control algorithm can control the yaw rate tracking error within 0.05 rad/s. In addition, the control algorithm can reduce the maximum amplitude of the side slip angle, the maximum value of the roll angle, the maximum value of the roll angular velocity, and the amplitude of the lateral acceleration by more than 96%, 81.1%, 65.0%, and 11.1%, respectively.