控制理论(社会学)
悬挂(拓扑)
线性二次调节器
控制器(灌溉)
振动
主动悬架
遗传算法
空气悬架
汽车工程
工程类
计算机科学
控制(管理)
执行机构
物理
数学
结构工程
轴
纯数学
机器学习
人工智能
同伦
电气工程
生物
量子力学
农学
作者
Hong Jiang,Chuqi Wu,Bo Chen
出处
期刊:Energies
[MDPI AG]
日期:2022-05-25
卷期号:15 (11): 3916-3916
被引量:5
摘要
Aiming at the negative vibration effect caused by the increased unsprung mass of the hub motor-air suspension (HM-AS) vehicle and the unbalanced magnetic force (UMF) of the hub motor, a linear quadratic regulator (LQR) air suspension control strategy based on a genetic algorithm is proposed. Considering the coupling effect of road surface excitation and UMF, the model of the HM-AS vehicle is established. Then, according to optimal control theory and the genetic algorithm, the LQR controller is designed to suppress the vibration of the HM-AS vehicle, and the weight matrix of the LQR controller is optimized through the genetic algorithm. The simulation results show that the proposed LQR control strategy effectively improves the ride comfort and motor safety of the HM-AS vehicle.
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