Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2003.04a
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- Pages.248-252
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- 2003
Development of a self-Tuning fuzzy controller for the speed control of an induction motor
유도전동기 속도 제어를 위한 뉴로 자기 동조 퍼지 제어기 개발
- Kim, Do-Han (Chonbuk National University) ;
- Han, Jin-Wook (Electronics and Telecommunications Research Institute) ;
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Lee, Chang-Goo
(Chonbuk National University)
- Published : 2003.04.24
Abstract
This paper has a control method proposed for the effective self-tuning fuzzy speed control based on neural network of the induction motor indirect vector control. The vector control of an induction motor provides the decoupled control of the rotor flux magnitude and the torque producing current to performance is desirable. But, the drive performance often degrades for the machine parameter variations and its condition give rise to coupling of flux and torque current. The fuzzy speed control of an induction motor has the robustness about machine parameter variations compared with conventional PID speed control in a way. That proved to be some waf from the true. The purpose of this paper is to improve the adaptation by offering self-turning function to fuzzy speed controller. In this paper, the adaptive mechanism of fuzzy speed control in used ANN(Artificial Neural Network) technique is applied in an IFO induction machine drive, such that the machine can follow a reference model (an ideal field oriented machine) to achieve desired speed. In this paper proved the self-turning method of fuzzy controller has the robustness about parameter variation and the wide range of adaptation by simulation.
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