Journal of the Korean Institute of Illuminating and Electrical Installation Engineers (조명전기설비학회논문지)

The Korean Institute of IIIuminating and Electrical Installation Engineers (한국조명전기설비학회)
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Adaptive Fuzzy Neuro Controller for Speed Control of Induction Motor

  • Ko, Jae-Sub (Electrical Control Engineering at Sunchon National University) ;
  • Chung, Dong-Hwa (Electrical Control Engineering at Sunchon National University)
  • Received : 2011.03.25
  • Accepted : 2011.04.26
  • Published : 2012.07.31
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Abstract

This paper is proposed the adaptive fuzzy neuro controller(AFNC) for high performance of induction motor drive. The design of this algorithm based on the AFNC that is implemented using fuzzy controller(FC) and neural network(NN). This controller uses fuzzy rule as training patterns of a NN. Also, this controller adjusts the weights between the neurons of NN to minimize the error between the command output and the actual output using the back-propagation method. The control performance of the AFNC is evaluated by analysis in various operating conditions. The results of analysis prove that the proposed control system has high performance and robustness to parameter variation, and steady-state accuracy and transient response.

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References

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