Design and application of adaptive PID controller based on asynchronous advantage actor–critic learning method.

Autor:	Sun, Qifeng, Du, Chengze, Duan, Youxiang, Ren, Hui, Li, Hongqiang
Předmět:	ASYNCHRONOUS learning STEPPING motors ALGORITHMS ADAPTIVE control systems PID controllers REINFORCEMENT learning
Zdroj:	Wireless Networks (10220038); Jul2021, Vol. 27 Issue 5, p3537-3547, 11p
Abstrakt:	To address the problems of the slow convergence and inefficiency in the existing adaptive PID controllers, we propose a new adaptive PID controller using the asynchronous advantage actor–critic (A3C) algorithm. Firstly, the controller can train the multiple agents of the actor–critic structures in parallel exploiting the multi-thread asynchronous learning characteristics of the A3C structure. Secondly, in order to achieve the best control effect, each agent uses a multilayer neural network to approach the strategy function and value function to search the best parameter-tuning strategy in continuous action space. The simulation results indicate that our proposed controller can achieve the fast convergence and strong adaptability compared with conventional controllers. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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