제어로봇시스템학회:학술대회논문집

제어로봇시스템학회 (Institute of Control, Robotics and Systems)
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MTPA Control of Induction Motor Drive using Fuzzy-Neural Networks Controller

  • Lee, Jung-Chul (Department of Electrical Control Engineering, Sunchon National University) ;
  • Lee, Hong-Gyun (Department of Electrical Control Engineering, Sunchon National University) ;
  • Nam, Su-Myeong (Department of Electrical Control Engineering, Sunchon National University) ;
  • Choi, Jung-Sik (Department of Electrical Control Engineering, Sunchon National University) ;
  • Ko, Jae-Sub (Department of Electrical Control Engineering, Sunchon National University) ;
  • Chung, Dong-Hwa (Department of Electrical Control Engineering, Sunchon National University)
  • 발행 : 2005.06.02
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초록

This paper is proposed maximum torque per ampere of induction motor using fuzzy-neural networks controller. Operation of maximum torque per ampere is achieved when, at a given torque and speed, the slip frequency is adjusted to that so that the stator current amplitude is minimized. This paper introduces a induction motor drive system with fuzzy-neural networks controller. A neural network-based architecture is described for fuzzy logic control. The characteristic rule and their membership function of fuzzy system are represented as the processing nodes in the neural network structure. This paper is proposed the analysis as well as the simulation results to verify the effectiveness of the new method.

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