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主被动一体悬架构型的多目标粒子群最优控制
引用本文:胡一明,李以农,李哲,杨超.主被动一体悬架构型的多目标粒子群最优控制[J].控制理论与应用,2020,37(3):574-583.
作者姓名:胡一明  李以农  李哲  杨超
作者单位:重庆大学汽车工程学院,重庆400030;重庆大学汽车工程学院,重庆400030;重庆大学机械传动国家重点实验室,重庆400030
基金项目:国家自然科学(51275541);重庆市基础与前沿研究计划(cstc2015jcyjBX0097);国家重点研发计划(2016YFB0100904-3)
摘    要:为了解决轮毂电机电动汽车中轮毂电机导致的振动负效应问题,提出了将动态减振与主动悬架结合的悬架新构型方案.针对新构型中结构及控制参数复杂的特点,建立了能够表征平顺性、操稳性以及悬架作动效率的11自由度整车动力学模型.设计基于新构型的多目标粒子群线性二次最优(MOPSO–LQR)控制器.对模型进行仿真分析,仿真结果表明,新构型方案能够实现车辆平顺性、操稳性以及悬架效率的全局最优,对比传统轮毂电机悬架构型方案,在解决轮毂电机振动负效应问题上有良好的效果.

关 键 词:电动汽车  轮毂电机  主被动一体悬架构型  MOPSO–LQR控制
收稿时间:2018/1/27 0:00:00
修稿时间:2019/8/10 0:00:00

Multi-objective particle swarm optimization linear quadratic regulator controller base on integrated suspension
HU Yi-ming,LI Yi-nong,LI Zhe and YANG Chao.Multi-objective particle swarm optimization linear quadratic regulator controller base on integrated suspension[J].Control Theory & Applications,2020,37(3):574-583.
Authors:HU Yi-ming  LI Yi-nong  LI Zhe and YANG Chao
Affiliation:Chongqing University,College of Automotive Engineering,State Key Laboratory of Mechanical Transmission Chongqing University,Chongqing University,College of Automotive Engineering,Chongqing University,College of Automotive Engineering
Abstract:In order to solve negative vibration effect of in-wheel motor driving electric vehicle,an active suspension configuration integrated dynamic damping and active suspension is proposed. Because of the complexity of the novel suspension and control parameters,A 11-DOF vehicle dynamics model was established to characterize ride comfort, stability and suspension efficiency. Then, a particle swarm optimization (PSO) algorithm is employed to optimize multi-objects, in which, include structure and controller parameters of suspension. Results show that optimized scheme achieved global optimal of the vehicle on ride comfort, stability and suspension efficiency. Proposed scheme and optimization method have good effect on solving the negative vibration effect of in-wheel motor.
Keywords:electric vehicle  in wheel motor  integrated suspension configuration  MOPSO–LQR controller
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