Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Intelligent Control of a Induction Motor Using a Fuzzy Set

퍼지 논리를 이용한 유도 전동기의 지능제어

  • Kim, Dong-Hwa (Dept. of Instrumentation and Control Engineering, Hanbat National University) ;
  • Park, Jin-Ill (Dept. of Instrumentation and Control Engineering, Hanbat National University)
  • 김동화 (국립 한밭대학교 제어계측공학과) ;
  • 박진일 (국립 한밭대학교 제어계측공학과)
  • Published : 2001.07.18
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Abstract

Induction motor has been using for industrial field. Up to the present time, the PID controller has been used to operate this system. However, it is very difficult to achieve an optimal PID gain without any experience, since the gain of the PID controller has to be manually tuned by trial and error procedures. This paper focuses on the fuzzy control for optimal control of the induction motor in plant. In order to attain optimal control, flux, torque and speed controller has been used and an fuzzy logic based controller has been applied to this system. The results of the fuzzy are compared with the PID controller tuned by the Ziegler-Nickels method, through various simulation based on the various disturbance and step response. The simulation results of the fuzzy control represent a more satisfactory response than those of the conventional controllers.

Keywords