Development and Research of Intelligent PID Controller Based on Fuzzy Neural Network

Abstract:

In this paper, intelligent fuzzy control theory is introduced in the model of neural network algorithm, and the neural network system is improved by the PID controller, which has realized the feedback and adjustment function of neural network system, and has made the reaction of the system be more accurate and stable. In order to verify the validity and reliability of the designed intelligent control PID algorithm based on the fuzzy neural network in this paper, the algorithm is carried on the programming by using Matlab programming software, and the control process of PID is calculated by NNbox simulation toolbox, at last, it has obtained the curve of PID control response changing over time. From the response curve, it can be seen that after the PID proportional coefficient is regulated by using fuzzy neural network intelligent control algorithm, it can quickly and steadily obtain the control curve, which has realized better intelligent control effect, and has provided technical reference for the research of intelligent PID controller.

• Periodical: Applied Mechanics and Materials (Volumes 644-650)
• Pages: 341-345
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.644-650.341
• Online since: September 2014
• Authors: Ming Jun Li*, Hua Tian, Xiao Jing Guo
• Keywords: Fuzzy Control, MATLAB Software, Neural Network (NN), Nnbox Toolbox, PID Controller

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