控制理论(社会学)
悬挂(拓扑)
主动悬架
控制器(灌溉)
理论(学习稳定性)
电动汽车
模糊控制系统
工程类
模糊逻辑
控制(管理)
计算机科学
数学
物理
人工智能
功率(物理)
执行机构
机器学习
纯数学
生物
量子力学
农学
同伦
作者
Jianjun Hu,Yihang Liu,Feng Xiao,Zhiqiang Lin,Chenghao Deng
出处
期刊:Applied sciences
[Multidisciplinary Digital Publishing Institute]
日期:2022-11-19
卷期号:12 (22): 11768-11768
被引量:9
摘要
Active suspension control and direct yaw-moment control (DYC) are widely used in the vehicle control field. To solve the coupling between those two controllers, a coordinated control of active suspension and DYC is proposed to further improve the vehicle roll and yaw stability. To enhance the adaptive ability of the active suspension, a proportional integral control optimized by the genetic fuzzy algorithm is introduced. DYC is proposed based on the sliding mode control. To restrain the chattering, the parameters of the sliding mode control is optimized by a genetic algorithm. Finally, a coordinated controller is presented based on the adaptive distribution of the anti-roll torque in the front and rear suspension. The simulation results show that the proposed active suspension and DYC can greatly improve the roll and yaw stability, respectively. The expected vehicle status can be well tracked. In addition, the coordinated control is compared by simply using two independent controllers under a different tire–road friction coefficient and different steering maneuver. The results show that the coordinated control has an even better performance under each working condition.
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