Journal of Advanced Marine Engineering and Technology

The Korean Society of Marine Engineering (한국마린엔지니어링학회)
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The Parameter Compensation Technique of Induction Motor by Neural Network

신경회로망을 이용한 유도전동기의 파라미터 보상

  • 김종수 (한국해양대학교 선박전자기계공학부) ;
  • 오세진 (한국해양대학교 운항훈련원) ;
  • 김성환 (한국해양대학교 선박전자기계공학부)
  • Published : 2006.01.01
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Abstract

This paper describes how an Artificial Neural Network(ANN) can be employed to improve a speed estimation in a vector controlled induction motor drive. The system uses the ANN to estimate changes in the motor resistance, which enable the sensorless speed control method to work more accurately. Flux Observer is used for speed estimation in this system. Obviously the accuracy of the speed control of motor is dependent upon how well the parameters of the induction machine are known. These parameters vary with the operating conditions of the motor; both stator resistance(Rs) and rotor resistance(Rr) change with temperature, while the stator leakage inductance varies with load. This paper proposes a parameter compensation technique using artificial neural network for accurate speed estimation of induction motor and simulation results confirm the validity of the proposed scheme.

Keywords

References

  1. A. Gastli, M. Tomita,T. Takeshita and N: Matsui, 'Improvement of a Stator Flux Oriented Speed Sensorless Control of an Induction Motor,' IEEE PCC, pp, 415-420, 1993
  2. T. Ohtani, N. Takeda and K. Tanaka, 'Vector Control of Induction Motor without Shaft En-coder,' IEEE Trans. Indus. Appli., Vol. 28, No. 1, pp. 157-164, 1992 https://doi.org/10.1109/28.120225
  3. I. Miyashita and Y. Ohmori, 'A New Speed Observer for an Induction Motor using the Speed Estimation Technique,' EPE Brighton, Vol. 5, pp. 349-353, 1993
  4. H. Kubota, K. Matsuse and T. Nakano, 'DSP- Based Speed Adaptive Flux Observer of Induction Motor,' IEEE Trans. Indus. Appli., Vol. 29, No. 2, pp. 344-348, 1993 https://doi.org/10.1109/28.216542
  5. M. G. Simoes and B. K. Bose, 'Neural Network Based Estimation of Feedback Signals for a Vector Controlled Induction Motor Drive', IEEE Trans. on Ind. Appl., vol. 31, No. 3, pp. 620-629, 1995 https://doi.org/10.1109/28.382124
  6. M. T. Wishart and R. G. Harley, 'Identification and Control of Induction Machines Using Artificial Neural Networks', IEEE Trans. on Ind. Appl., vol. 31, No. 3, pp.612-619, 1995 https://doi.org/10.1109/28.382123
  7. L. B. Brahim and R. Kurosawa, 'Identification of Induction Motor Speed using Neural Networks,' IEEE PCC-yokohama, pp. 689-694, 1993