Multi-objective optimization of active steering system with force and displacement coupled control

作     者：赵万忠 孙培坤 刘顺 林逸 

作者机构：epartment of Vehicle EngineeringNanjing University of Aeronautics and Astronautics State Key Laboratory of Mechanical TransmissionChongqing University Department of Vehicle EngineeringNanjing University of Aeronautics and Astronautics School of Mechanical and Vehicular EngineeringBeijing Institute of Technology 

出 版 物：《Journal of Central South University》 (中南大学学报（英文版）)

年 卷 期：2012年第19卷第4期

页      面：974-981页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 082304[工学-载运工具运用工程] 08[工学] 080204[工学-车辆工程] 070105[理学-运筹学与控制论] 0802[工学-机械工程] 0701[理学-数学] 0823[工学-交通运输工程] 

基　　金：Project(51005115) supported by the National Natural Science Foundation of China Project(KF11201) supported by the Science Fund of State Key Laboratory of Automotive Safety and Energy,China Project(201105) supported by the Visiting Scholar Foundation of the State Key Laboratory of Mechanical Transmission in Chongqing University,China 

主　　题：vehicle engineering active steering electric power steering multi-objective genetic algorithm 

摘      要：A novel active steering system with force and displacement coupled control(the novel AFS system) was introduced,which has functions of both the active steering and electric power *** on the model of the novel AFS system and the vehicle three-degree of freedom system,the concept and quantitative formulas of the novel AFS system steering performance were *** steering road feel and steering portability were set as the optimizing targets with the steering stability and steering portability as the constraint *** to the features of constrained optimization of multi-variable function,a multi-variable genetic algorithm for the system parameter optimization was *** simulation results show that based on parametric optimization of the multi-objective genetic algorithm,the novel AFS system can improve the steering road feel,steering portability and steering stability,thus the optimization method can provide a theoretical basis for the design and optimization of the novel AFS system.