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Academic Journal of Computing & Information Science, 2021, 4(3); doi: 10.25236/AJCIS.2021.040303.

Wavelet Neural Network Control System Based on Fuzzy PID


Keju Wang, Xuxiu Zhang, Lina Bai

Corresponding Author:
Keju Wang

School of Dalian Jiaotong University, Liaoning China


Aiming at the network control system with time delay and packet loss, this paper designs a fuzzy adaptive PID controller to realize the adjustment of the network control system. Through the design of wavelet neural algorithm to predict the time delay, the fuzzy adaptive PID can realize the online adjustment of Kp, Ki and Kd, which overcomes the problem of constant input parameter adjustment of the traditional PID controller. Fuzzy control is realized by designing fuzzy rules, and finally through comparison The Matlab simulation renderings of traditional PID controller and fuzzy adaptive PID controller show that the robustness and accuracy of fuzzy adaptive PID controller are better.


Network control system, fuzzy adaptive PID controller, wavelet neural network, time delay

Cite This Paper

Keju Wang, Xuxiu Zhang, Lina Bai. Wavelet Neural Network Control System Based on Fuzzy PID. Academic Journal of Computing & Information Science (2021), Vol. 4, Issue 3: 18-24. https://doi.org/10.25236/AJCIS.2021.040303.


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