PID控制器
粪甲虫
悬挂(拓扑)
控制理论(社会学)
控制器(灌溉)
计算机科学
模糊逻辑
控制(管理)
控制工程
主动悬架
工程类
汽车工程
人工智能
温度控制
数学
生态学
金龟子科
纯数学
执行机构
生物
农学
同伦
作者
Kun-Lun Zhang,Azizan As’arry,Liucun Zhu,Abdul Aziz Hairuddin,Mohd Khair Hassan,Mohd Zain
标识
DOI:10.1177/16878132251314332
摘要
The enhancement of automobile quality is a significant area of modern research and development, with a focus on improving ride comfort and driving experience. This is achieved not only through structural improvements but also through the optimization of suspension control strategies. To enhance the ability of online real-time adjustment and overcome the limitations of fuzzy control, this study combines dung beetle optimizer (DBO), Fuzzy control, and Proportional-Integral-Derivative (PID) control to propose a reduced optimization complexity control method to improve MR damper control. The control parameters generated by fuzzy control are utilized as the initial values for DBO iteration to obtain the optimal solution, which is subsequently fed into the PID controller to regulate changes in the actuator’s magnetic field. Use MATLAB/Simulink to build a quarter semi-active suspension model with magnetorheological (MR) dampers for simulation analysis. Under sinusoidal and random disturbances, compared with the passive suspension, the vehicle acceleration of the Fuzzy-DBO-PID controller is reduced by 51%, 50.82%, 47.56% and 11.42%. Compared with Fuzzy-PID, the vehicle acceleration of Fuzzy-DBO-PID is reduced by 25.98%, 32.86%, 29.41%, and 7.19% on sinusoidal and random disturbances, which improves the ride comfort and verifies the effectiveness of the proposed control strategy.
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