基于蚁群优化的ESP控制算法仿真  

Simulation of ant colony optimization-based ESP algorithm

作　　者：信瑛南[1] 张新[1] 曾志伟[1] 

机构地区：[1]长沙理工大学汽车与机械工程学院,湖南长沙410004

出　　处：《长沙理工大学学报（自然科学版）》2012年第2期63-67,共5页Journal of Changsha University of Science and Technology:Natural Science

基　　金：湖南省自然科学基金资助项目(11JJ3049);湖南省科技厅软科学重点项目(2011ZK2003)

摘　　要：为了加快ESP系统的响应时间,提高车辆的稳定性,采用模糊控制理论对车辆ESP系统进行反馈控制.建立了八自由度四轮整车模型与Gim轮胎模型,并在具有较好的灵活性、鲁棒性的模糊PID控制器的基础上引入了蚁群算法,设计了基于蚁群优化的模糊PID控制系统的结构与计算方法,从而达到对参数kp,ki,kd的优化设计,同时利用Simulink软件进行仿真.仿真结果证明,引入蚁群算法的模糊PID控制系统可加快系统的收敛速度,缩短系统响应时间.In order to accelerate the ESP system response time,improve the stability of the vehicle,this paper adopts fuzzy control theory to make feedback control of the ESP system.Four wheels vehicle model with eight degrees of freedom and Gim tire model are established,and in the good flexibility,robustness of fuzzy PID controller is introduced based on the ant colony algorithm,the design based on ant colony optimization of fuzzy PID control system structure and its calculation method,so as to achieve parameters optimization design,then a simulation model generated by Simulink software is used.Simulation experiment proves that this method can accelerate the speed of convergence system and shorten the system response time.

关 键 词：ESP算法 蚁群算法 自由度 模糊控制器 

分 类 号：U461.91[机械工程—车辆工程]