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Sensorless Vector Control of Induction Motor with HAI Controller  

Lee, Jung-Chul (순천대 공대 정보통신공학부)
Lee, Hong-Gyun (순천대 공대 정보통신공학부)
Chung, Dong-Hwa (순천대 공대 정보통신공학부)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers P / v.54, no.2, 2005 , pp. 73-79 More about this Journal
Abstract
This paper is proposed hybrid artificial intelligent (HAI) controller based on the vector controlled induction motor drive system. The hybrid combination of fuzzy control and neural network will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed speed estimation of induction motor using a closed-loop state observer. The rotor position is calculated through the stator flux position and an estimated flux value of rotation reference frame. A closed-loop state observer is implemented to compute the speed feedback signal. The results of analysis prove that the proposed control system has strong robustness to rotor parameter variation, and has good steady-state accuracy and transitory response.
Keywords
induction motor; HAI controller; fuzzy control; neural network; speed estimation; speed control;
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  • Reference
1 C. Schauder, 'Adaptive speed identification for vector control of induction motor without rotational transducers,' IEEE Trans. on IA, vol. 28, no. 5, pp. 1054-1061, 1992
2 H. Tajima and Y. Hori, 'Speed sensorless field-orientation control of the induction machine,' IEEE Trans. on IA, vol. 29, no. 1, pp. 175-180, 1993
3 Y. S. Lee, J. C. Lee, H. G. Lee and D. H. Chung, 'Speed control of induction motor drive using adaptive FNN controller,' International Conference ICEMS'04, Conference no. PI-5(430-M09-052), 2004. [CD no. 2]
4 Y. Shrivastava, M. T. Nguyen and S. Sathiakumar, 'Speed estimation for induction motor,' Submitted to the 8th European Conference on Power Electronics and Applications, Sep. 1999
5 M. T. Wishart and R. G. Harley, 'Identification and control of induction machines using neural networks, ' IEEE Trans. IA, vol. 31, no. 3, pp. 612-619, 1995
6 T. Kanmanchi and I. Takahashi, 'Sensorless speed control of an induction motor with no influence of secondary resistance variation,' IEEE Proc. IAS Meeting, pp. 408-413, 1993
7 M. G. Simoes and B. K. Bose, 'Neural network based estimation of feedback signals for a vector controlled induction motor drive,' IEEE Trans. IA, vol. 31, no. 3, pp. 620-629, 1995
8 D. H. Chung, 'Fuzzy control for high performance vector control of PMSM drive system,' KIEE, vol. 47, no. 12, pp. 2171 -2180, 1998
9 K. J. Astrom and B. Wittenmark, 'Adaptive control,' Addison-Wesley, 1989
10 S. A. Shisavar, M. D. McCulloch and C. G. Guy, 'Speed sensorless vector control of induction motor with parameter estimation,' IEEE Proc. IAS Meeting, pp. 262-269, 1996
11 H. Kubota and K. Matsuse, 'Speed sensorless field-oriented control of induction motor with rotor resistance adaption,' IEEE Trans. on IA, vol. 30, no. 5, pp. 1219-1224, 1994