| 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.[点击复制] |
| HU Yi-ming,LI Yi-nong,LI Zhe,YANG Chao.Multi-objective particle swarm optimization linear quadratic regulator controller base on integrated suspension[J].Control Theory and Technology,2020,37(3):574~583.[点击复制] |
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| 主被动一体悬架构型的多目标粒子群最优控制 |
| Multi-objective particle swarm optimization linear quadratic regulator controller base on integrated suspension |
| 摘要点击 2374 全文点击 948 投稿时间：2018-01-27 修订日期：2019-08-10 |
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| DOI编号 10.7641/CTA.2019.80082 |
| 2020,37(3):574-583 |
| 中文关键词 电动汽车 轮毂电机 主被动一体悬架构型 MOPSO–LQR控制 |
| 英文关键词 electric vehicle in wheel motor integrated suspension configuration MOPSO–LQR controller |
| 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) |
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| 中文摘要 |
| 为了解决电动轮汽车中轮毂电机引入引起的振动负效应问题，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自由度整车动力学优化模型，借助多目标粒子群优化算法，设计基于主被动一体悬架构型的多目标粒子群LQR控制器，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。 |
| 英文摘要 |
| 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. |