Nowadays the control of stator voltage at a constant frequency is one of the traditional and low expense methods in order to control the speed of induction motors near its nominal speed. The torque of induction motor is a nonlinear function of the firing angle, phase angle and speed. In this paper the speed control of induction motor regarding various load torque and under different conditions will be investigated based on a fuzzy controller with inverse training.<\/p>\r\n","references":"[1] S.A. Hamed and B.J. Chalmer, ''Analysis of Variable-Voltage Thyristor Controlled Induction Motors'', IEE Proc. B, Vol. 137, 1990, pp. 184-193.[2] E. Halit, ''Computer Control of Thyristorized Induction Motors and On-Line Performance Predictions'', Electric Machines and Power Systems,Vol. 26, 1998, pp. 873 - 884.[3] S.A. Hamed and B.J. Chalmer, ''New Method of Analysis and Performance Prediction of Thyristor Voltage-Controlled RL Loads'', IEE Proc. B, Vol. 134, 1987, pp. 339-347.[4] J.S. Roger Jang, C.T. Sun and E. Mizytani, Neuro-Fuzzy and Soft Computing, Prentice-Hall, 1997.[5] A. Cristea and A. Dinu, ''A New Neural Network Approach to Induction Motor Speed Control'', PESC 2001, Vol. 2, pp.784-787. [6] N. Golea, A. Golea, M. Boumehrez and M. Kadjoudj, ''Fuzzy Adaptive Approach to Control Nonlinear Systems'', IECON, Vol. 1, 2001, pp. 782-786. [7] R. Shahid Togeer and N. Suha Bayindir, ''Neuro Controller for Induction Motors'', ICM 2000, pp. 227-230. [8] J.R. Heredia, F. Perez Hidalgo and J.L. Duranpaz, ''Control of Induction Motor by Artificial Neural Networks'', ISEI 99, Vol 2, pp. 792-794. [9] A. Rubaai, R. Kotaru and M. D. Kankam, ''Online Training of Parallel Neural Network Estimator for Control of Induction Motors'', Industry Application IEEE , Vol. 37 , sept.-oct. 2001, pp. 1512-1521. ","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 1, 2007"}