| 基于粒子群算法的EPS系统控制策略（英文） |
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| 引用本文： | 李洪强,孟建兵,曲宝军,娄广军,黄丙琪,管东方. 基于粒子群算法的EPS系统控制策略（英文）[J]. 机床与液压, 2019, 0(18): 39-44,69 |
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| 作者姓名： | 李洪强 孟建兵 曲宝军 娄广军 黄丙琪 管东方 |
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| 作者单位： | 山东理工大学机械工程学院 |
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| 基金项目： | Supported by the Natural Foundation of Shandong Province(ZR2018MEE028)~~ |
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| 摘 要： | 电动助力转向控制是EPS系统的基本控制策略。针对EPS系统的稳定性和快速性的要求,通过EPS系统各部分动力学方程,建立了基于MATLAB/Simulink的仿真模型,对常规PID控制和基于粒子群算法的PID控制进行了仿真对比。仿真结果表明:基于粒子群算法的PID控制策略,使EPS控制效果得以改善,系统响应时间快,鲁棒性好,趋于稳定所用时间短,为实现EPS的稳定性和快速性提供了理论依据。
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| 关 键 词： | 电动助力转向控制 控制策略 动力学方程 PID 粒子群算法 |
The control strategy of EPS system based on particle swarm optimization |
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| Hong-qiang LI,Jian-bing MENG,Bao-jun QU,Guang-jun LOU,Bing-qi HUANG,Dong-fang GUAN. The control strategy of EPS system based on particle swarm optimization[J]. Machine Tool & Hydraulics, 2019, 0(18): 39-44,69 |
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| Authors: | Hong-qiang LI Jian-bing MENG Bao-jun QU Guang-jun LOU Bing-qi HUANG Dong-fang GUAN |
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| Affiliation: | (School of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China) |
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| Abstract: | Electric power steering control is the basic control strategy of EPS system.According to the requirement of stability and rapidity of EPS system, a simulation model based on MATLAB/Simulink is established by dynamic equations of each part of EPS system.A simulation comparison is made between the conventional PID control and the PID control based on the particle swarm algorithm.The simulation results show that the PID control strategy based on particle swarm optimization can improve the EPS control effect, the system response time is fast, the robustness is good, and the stabilization time is short. It provides a theoretical basis for achieving the stability and rapidity of EPS. |
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| Keywords: | Electric power steering control Control strategy Dynamic equations PID Particle swarm optimization |
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