电动助力转向系统的调制模型预测控制  

Model Predictive Control Method for Electric Power Steering System

作　　者：张畅 石坚 ZHANG Chang;SHI Jian(Guangzhou University,Guangdong Guangzhou 510006)

机构地区：[1]广州大学,广东广州510006

出　　处：《汽车实用技术》2021年第20期141-146,共6页Automobile Applied Technology

基　　金：国家自然科学基金项目(51507097)。

摘　　要：为提高汽车转向性能,文章研究新型电动助力转向系统(EPS)控制方法。基于汽车稳态转向系统动力学二次模型与助力特性曲线的分析,并考虑到外部非线性因素对EPS系统的影响,提出一种新型调制模型预测控制(MMPC)方法,来解决目前业界采用PI控制方法的EPS系统难以处理非线性动态响应的问题。通过搭建符合汽车标准的高精度EPS系统仿真模型,按照汽车标准要求验证了所提出方法的可行性,仿真结果表明调制模型预测控制可以完全满足EPS的要求,而且在非线性环境下相较于传统PI控制对辅助电机具有更稳定的转矩控制。In order to improve the steering performance of vehicles,novel electric power steering(EPS)control method is the focus of this study.Based on vehicle steady state steering system dynamics of quadratic model and analysis of assist characteristic curve,a novel predictive control method(MMPC)was proposed and studied.This novel method can solve the problem of EPS multiple nonlinear dynamic response compared with the poor performance of traditionally adopted PI control method of EPS with its nearly fixed setup of PI parameters.High fidelity EPS system model satisfies automotive standards was established to verify the presented method.The simulation results show that the MMPC can be well used on an EPS system and has a more stable torque response than the traditional PI control method under nonlinear working environment.

关 键 词：车辆工程 电动助力转向系统 助力特性曲线 非线性 调制模型预测控制 

分 类 号：U463.44[机械工程—车辆工程]