Neural Network Supervision Control Strategy for Inverted Pendulum Tracking Control

This paper presents several control methods and realizes the stable tracking for the inverted pendulum system. Based on the advantages of RBF and traditional PID, a novel PID controller based on the RBF neural network supervision control method (PID-RBF) is proposed. This method realizes the adaptiv...

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Veröffentlicht in:Discrete dynamics in nature and society 2021-03, Vol.2021, p.1-14
Hauptverfasser: Gao, Hongliang, Li, Xiaoling, Gao, Chao, Wu, Jie
Format: Artikel
Sprache:eng
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Zusammenfassung:This paper presents several control methods and realizes the stable tracking for the inverted pendulum system. Based on the advantages of RBF and traditional PID, a novel PID controller based on the RBF neural network supervision control method (PID-RBF) is proposed. This method realizes the adaptive adjustment of the stable tracking signal of the system. Furthermore, an improved PID controller based on RBF neural network supervision control strategy (IPID-RBF) is presented. This control strategy adopts the supervision control method of feed-forward and feedback. The response speed of the system is further improved, and the overshoot of the tracking signal is further reduced. The tracking control simulation of the inverted pendulum system under three different signals is given to illustrate the effectiveness of the proposed method.
ISSN:1026-0226
1607-887X
DOI:10.1155/2021/5536573