제어로봇시스템학회:학술대회논문집
- 2000.10a
- /
- Pages.86-86
- /
- 2000
Neural Network based Fuzzy Type PID Controller Design
신경 회로망 기반 퍼지형 PID 제어기 설계
Abstract
This paper describes a neural network based fuzzy type PID control scheme. The PID controller is being widely used in industrial applications. however, it is difficult to determine the appropriate PID gains for (he nonlinear system control. In this paper, we re-analyzed the fuzzy controller as conventional PID controller structure, and proposed a neural network based fuzzy type PID controller whose scaling factors were adjusted automatically. 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. Proposed controller was simple in structure and computational burden was small so that on-line adaptation was easy to apply to. The result of practical experiment on the magnetic levitation system, which is known to be hard nonlinear, showed the proposed controller's excellent performance.
Keywords
- Fuzzy;
- Neural network;
- PID(Proportional Integral Derivative);
- Nonlinear control;
- Magnetic levitation