控制理论(社会学)
减震器
线性二次高斯控制
MATLAB语言
悬挂(拓扑)
加速度
主动悬架
模糊控制系统
偏转(物理)
最优控制
计算机科学
模糊逻辑
工程类
结构工程
物理
控制(管理)
数学
执行机构
人工智能
数学优化
光学
纯数学
操作系统
经典力学
同伦
作者
Ping Yang,Yuan Ge,Huijian Liu,Xiangbing Zeng,Cheng Li
标识
DOI:10.23919/ccc55666.2022.9902046
摘要
Aiming at the semi-active suspension system with the CDC shock absorber, AMESim software is used to model the CDC adjustable damping shock absorber, and the dynamics of the two-degree-of-freedom semi-active suspension are analyzed. A genetic algorithm is proposed to improve fuzzy rules. The method to control the CDC shock absorber can adjust the opening of the flow valve port, and the LQG control strategy is presented to obtain the optimal control force and achieve control of the damping force. Finally, some co-simulation is carried out by AMESim and MATLAB/Simulink. The results show that the LQG-fuzzy control using the genetic algorithm to improve fuzzy rules can significantly reduce the vehicle body's acceleration, and the suspension's dynamic deflection is also reduced. It improves the smoothness of the vehicle.
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