A Genetic Algorithms Approach For Adaptive Field Oriented Control Of Induction Motor Drives

In this paper an adaptive field oriented control of induction motor drive is proposed. The adaptive scheme uses a genetic algorithm for the identification of the rotor time constant, which is used to adjust the estimate of the slip angular speed. The identification method is presented as an optimization problem where the objective function is the total square error between the motor and the commanded stator currents. Computer simulation results are obtained and the performance of the resulting field oriented controller is analyzed. Further, this paper indicates that the genetic algorithm approach amounts to a promising methodology to handle adaptive control of indirect field oriented induction motors. © 1999 IEEE.643645Lorenz, R.D., Lip, T.A., Novotny, D.W., Motion control with induction motors (1994) Proceedings. of IEEE-IAS, 82 (8), pp. 1215-1240. , AugustNordin, K.B., Novotny, D.W., Zinger, D.S., The muence of motor parameter deviations in feedfmard field orientation drive systems (1985) IEEE Transactions on Indushy Applications, IA-21 (4), pp. 1009-1015. , July/AugustLorenz, R.D., Tuning of field oriented induction motor controllers for high-performance applications (1986) I Tr Ansactions on Industry Applications, IA-22 (2), pp. 293-297. , Marc MApnlSui, S.K., A 'novel technique of rotor resistance estimation considering variation of mutual inductance (1989) IEEE Transactions on Industry Applications, 25 (3), pp. 578-587. , July/AugustChan, C.C., Wang, H., An effective method of rotor resistance identification for high-perfowce induction motor vector control (1990) IEEE Transactions on Industrial Electronics, 37 (6), pp. 477-482. , DecemberSousa, G.C.D., Bose, B.K., Kim, K.S., Fuzzy logic based on-iinetuning of slip gain for an indirect vector vontrolled induction motor drive (1993) IWIECON Conference Proceedings, pp. 1003-1008Fodor, D., Griva, G., F'rohmo, F., (1995) Compensation of Patameter Variations in Induction Motor Drives Using A Neural Network, pp. 1307-1311. , 0-7823 2730-6-ILUZ'Goldberg, D.E., (1989) Genetic Algorithms in Search, Optimization and Machine Learning, , New York, USA, Addison-Wesley, Januar