基于PSO优化的车辆稳定性研究  

Research on the PSO to Optimize Vehicle Stability Study

作　　者：陈宇奇[1] 陈家琪[1] CHEN Yuqi CHEN Jiaqi(School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 20009, Chin)

机构地区：[1]上海理工大学光电信息与计算机工程学院,上海200093

出　　处：《电子科技》2017年第1期83-86,共4页Electronic Science and Technology

摘　　要：为了改善汽车行驶的稳定性,在基于模糊控制器控制的ESP系统基础上,运用粒子群算法对其进行优化,并运用Adams/Car和Matlab/Simulink在单移线、双移线工况下进行联合仿真,仿真结果证明,优化后的ESP系统解决了车辆系统模型非线性及参数的多变复杂性强等问题,并有效克服了模糊控制器存在的稳态偏差和极限环,提高了汽车行驶安全。In order to improve vehicle stability, use PSO to optimize ESP system which based on fuzzy controller in this paper. Using Adams/Car and Matlab/Simulink to do co-simulation under the conditions of single-lane and double-lane. Simulation results show that the optimized ESP system could solve the vehicle system＇s non-linear model and parameters varied highly complex issues. And effectively overcome the steady-state error of fuzzy controllers exist and limit cycles, improve safety cars.

关 键 词：联合仿真 粒子群算法 模糊控制 ESP 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]