大扭矩商用车EPS系统回正补偿策略研究  

Research on Compensation Strategy for EPS System of High Torque Commercial Vehicle

作　　者：蔡学长 田大庆[1] CAI Xuechang;TIAN Daqing(School of Mechanical Engineering,Sichuan University,Chengdu 610065,China)

机构地区：[1]四川大学机械工程学院,四川成都610065

出　　处：《汽车实用技术》2024年第6期1-7,共7页Automobile Applied Technology

基　　金：区域创新合作研发新能源汽车大扭矩EPS系统与制定EPS总成技术要求及台架试验方法标准(2020KJT0117-2020YFQ0039)。

摘　　要：车辆回正控制是决定转向系统好坏的一个重要因素。针对新能源大扭矩商用车存在回正不足或回正超调问题,文章提出了基于多种群遗传算法(MPGA)优化的模糊比例-积分-微分(PID)控制算法,建立了电动助力转向(EPS)系统动力学模型、方向盘转角估计模型与回正补偿控制策略,根据估计的方向盘转角确定电机的期望输出扭矩,以此确定电机电枢电压,从而实现回正补偿。利用MPGA优秀的全局寻优性能,对模糊PID控制器参数进行优化。经Simulink仿真试验证明,提出的基于MPGA优化的模糊PID控制算法,相较于PID控制与模糊PID控制,回正性能得到改善。Vehicle return to center control is an important factor that determines the quality of the steering system.Aiming at the problems of under-alignment or overshoot in new-energy high-torque commercial vehicles,a fuzzy proportional-integral-differential(PID)control algorithm based on multi-population genetic algorithm(MPGA),optimization is proposed.The electric power steering(EPS)system dynamic model,steering wheel angle estimation model and back-to-center compensation control strategy are established.Then determine the armature voltage of the motor according to the expected output torque,so as to realize the return compensation.The parameters of fuzzy PID controller are optimized by using MPGA.The Simulink simulation test proves that the proposed fuzzy PID control algorithm based on MPGA optimization,compared with the PID control algorithm and fuzzy PID control algorithm,has improved return performance.

关 键 词：EPS 回正控制 模糊PID控制 MPGA 

分 类 号：U463.4[机械工程—车辆工程]