PID控制器
控制理论(社会学)
制动器
磁流变液
超调(微波通信)
粒子群优化
控制器(灌溉)
扭矩
计算机科学
控制工程
工程类
汽车工程
人工智能
控制(管理)
阻尼器
温度控制
算法
农学
物理
热力学
生物
电信
作者
Dezheng Hua,Xinhua Liu,Munish C. Gupta,Pawel Fracz,Zhixiong Li
标识
DOI:10.1177/09544062211017156
摘要
With the aim to improve working performance of magnetorheological fluids (MRF) brake, a combined braking approach is proposed in this paper. A data acquisition system of MRF brake is designed and transfer function is identified for the device. Furthermore, based on the excitation current-extrusion pressure combined braking system, a fuzzy controller is designed to distribute the target torque. Moreover, through integration of fruit fly optimization algorithm (FOA) and particle swarm optimization algorithm (PSOA), an improved proportional-integral-differential (PID) controller is presented to conduct braking mechanism. Finally, the simulations and experiments are carried out. The results show that the combined braking approach with fuzzy controller and improved PID controller has characteristics of quick response and no overshoot, and superior to conventional PID and FOA PID controller.
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