The Design of Auto Tuning Neuro-Fuzzy PID Controller Based Neural Network

신경회로망 기반 자동 동조 뉴로-퍼지 PID 제어기 설계

  • 김영식 (전북대학교 전자정보공학부) ;
  • 이창구 (전북대학교 전자정보공학부)
  • Published : 2006.10.31

Abstract

In this paper described an auto tuning neuro-fuzzy PID controller based neural network. The PID type controller has been widely used in industrial application due to its simply control structure, easy of design, and inexpensive cost. However, control performance of the PID type controller suffers greatly from high uncertainty and nonlinearity of the system, large disturbances and so on. In this paper will design to take advantage of neural network fuzzy theory and pid controller auto toning technique. The value of initial scaling factors of the proposed controller were determined on the basis of the conventional PID controller parameters tuning methods and then they were adjusted by using neural network control techniques. This controller simple structure and computational complexity are less, and also application is easy and performance is excellent in system that is strong and has nonlinearity to system dynamic behaviour change or disturbance. Finally, the proposed auto tuning neuro-fuzzy controller is applied to magnetic levitation. Simulation results demonstrated that the control performance of the proposed controller is better than that of the conventional controller.

Keywords

Fuzzy;Neural Network;PID Controller;Magnetic Levitation