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基于PSO优化的车辆稳定性研究 被引量:2

Research on the PSO to Optimize Vehicle Stability Study
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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.
作者 陈宇奇 陈家琪 CHEN Yuqi CHEN Jiaqi(School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 20009, Chin)
出处 《电子科技》 2017年第1期83-86,共4页 Electronic Science and Technology
关键词 联合仿真 粒子群算法 模糊控制 ESP co-simulation PSO fuzzy control ESP
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