The Application Research of PLC Temperature Control System Based on Fuzzy Neural Network PID

Author:

Lu Yong Wei1

Affiliation:

1. Guangxi Vocational and Technical College

Abstract

it is hard to establish the accurate model by using the traditional PID algorithm, and hard to adjust the system parameter in nonlinear system. In order to solve this problem, this paper proposed PID algorithm based on Fuzzy Neural Network. This algorithm combined PID algorithm, fuzzy control algorithm and neural network algorithm together, and formed one kind intelligent control algorithm. This paper designed and researched this algorithm, and applied in the PLC temperature control system. The experimental result indicated that the fuzzy neural network PID controller improved the controller quality, conquered some question such as variable parameter and nonlinear, and enhanced the systems robustness.

Publisher

Trans Tech Publications, Ltd.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design of Expert PID-based Temperature Control System for Extrusion Machine;2023 International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC);2023-10-20

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