Journal of Power Electronics

  • 제23권9호
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  • Pages.1379-1388
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  • 2023
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  • 1598-2092(pISSN)
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  • 2093-4718(eISSN)
전력전자학회 (The Korean Institute of Power Electronics)
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Speed and flux observer based on adaptive linear neuron for induction motor

  • Liangbin Liu (School of Electrical Engineering, Hunan Industry Polytechnic) ;
  • Deyu Liu (School of Electrical Engineering, Hunan Industry Polytechnic)
  • 투고 : 2023.03.25
  • 심사 : 2023.06.22
  • 발행 : 2023.09.20
⟨ 이전 논문 다음 논문 ⟩

초록

The robustness and economy of the induction motor drive system can be improved by a high-precision observation algorithm instead of an encoder. Such an algorithm is adopted to obtain the speed and flux linkage of the induction motor. In this paper, an adaptive linear neuron speed digital observer for the induction motor is proposed. First, discrete voltage and current models are established. Then, a novel speed and rotor flux digital observer based on the adaptive linear neuron with less calculation complexity is presented. This observer contains a hidden layer and two input signals that can work with the rotor flux error and the deviation of the error. The adaptive learning method of the weight coefficients described by the difference equation is presented. Finally, a simulation and an experiment are conducted to certify the correctness and effectiveness of the proposed adaptive linear neuron speed digital observer.

키워드

과제정보

This work was supported by Hunan Provincial Natural Science Foundation of China (2022JJ60035).

참고문헌

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