摘要
为提高电动汽车运行的稳定性,以电动汽车为研究对象构建八自由度动力学模型及其动力学方程,并采用并行混沌算法(PCOA)优化基于模型预测控制(MPC)的目标函数,提出一种基于改进MPC算法的汽车稳定性控制方法。仿真结果表明,所提方法可实现汽车稳定性控制,具有良好的跟踪性能,跟踪误差在允许范围内,满足汽车稳定运行要求。相较于基于极值搜索控制(ESC)方法,所提方法跟踪性能更好,跟踪误差更小,可更好地控制运行中汽车的稳定性,具有一定的有效性和优越性,为汽车稳定性控制研究提供了理论参考。
In order to improve the vehicle stability control,this paper takes the distributed drive electric vehicle as the research object,establishes the eight degree of freedom vehicle dynamics model and the corresponding dynamics equation,takes the model-based predictive control algorithm(MPC)as the basic model,optimizes the MPC algorithm objective function by using the parallel chaos algorithm(PCOA),and proposes a vehicle stability control method based on the improved MPC algorithm.The simulation results show that the proposed method can realize vehicle stability control,the control system has good tracking performance,the tracking error is within the allowable range,and meets the requirements of vehicle stable operation.Compared with the method based on extreme value search control(ESC),the proposed method has better tracking performance and smaller tracking error,and can better control the vehicle stability in operation.It has certain effectiveness and superiority,which provides a certain theoretical reference for the research of vehicle stability control.
作者
谷磊
Gu Lei(Department of Commerical Trade,Huishang Vocational College,Anhui Hefei,231201,China)
出处
《机械设计与制造工程》
2022年第9期59-64,共6页
Machine Design and Manufacturing Engineering
基金
安徽省自然科学重点研究项目(KJ2020A1136)
安徽省课程思政示范课程(2020szsfkc0822)
安徽省市场营销高水平专业群项目(2020zyq80)
安徽省高校优秀青年人才支持计划重点项目(gxyqZD2020150)。
