Real Time Implementation of Fuzzy Gain Scheduling of PI Controller for Induction Motor Machine Control

Author:

Hazzab A.,Bousserhane I. K.,Zerbo M.,Sicard P.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Reference12 articles.

1. Hazzab, A., Bousserhane, I. K. and Kamli, M.: Design of fuzzy sliding mode controller by genetic algorithms for induction machine speed control. International Journal of Emerging Electric Power Systems, Berkeley Electronic Press (Bepress), USA 1(2) (2004). http://www.bepress.com/ijeeps/vol1/iss2/art1008

2. Hazzab, A., Bousserhane, I. K., Kamli, M. and Rahli, M.: New Adaptive fuzzy mode controller for induction motor speed control. Third International Conference on Systems, Signals & Devices, SSD’05, (Sousse, Tunisia, 2003).

3. Caron, J. P. and Hautier, J. P.: Modeling and Control of Induction Machine, Technip Edn, France (1995) (text in french).

4. Lorenz R.D., Lawson D.B. (1990): A simplified approach to continuous on-line tuning of field-oriented induction machine drives. IEEE Transactions on Industry Applications 26(3): 420–424

5. Baghli, L.: Contribution to induction machine control: using fuzzy logic. Neural Networks and Genetic Algorithms, Doctoral Thesis, Henri Poincare University, January 1999 (text in french).

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