Author:
Dai Lili,Lu He,Hua Dezheng,Liu Xinhua,Wang Lifeng,Li Qiang
Abstract
In order to improve the response characteristics of magnetorheological fluid brake (MRB) and reduce the braking fluctuation rate, an improved grey wolf optimization algorithm was proposed to adjust the parameters of the proportion integration differentiation (PID) controller. Firstly, an MRB system was designed and constructed, and its transfer function was determined. Moreover, by adopting the iterative method of logistic curve, an enhanced grey wolf optimization algorithm (EGWOA) was presented. Using the EGWOA, the parameters of the PID controller were optimized to improve the control performance of the system. Finally, the simulation and experiment were carried out. The results showed that EGWOA has a faster response output and overall better performance without overshoot compared with the conventional PID and grey wolf optimization algorithm (GWOA) PID controller.
Funder
Natural Science Foundation of the Jiangsu Higher Education Institution of China
National Science Foundation of China
Natural Science Foundation of Jiangsu Province
Qing Lan Project for Excellent Young Key Teachers of Colleges and Universities of Jiangsu Province
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Cited by
7 articles.
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