Adaptive neuro-fuzzy control of an induction motor

Abstract In this article a direct torque of the induction motor drive controlled by neuro-fuzzy system is proposed. The proposed control scheme uses the stator flux amplitude and the electromagnetic torque errors through an adaptive neuro-fuzzy inference system (ANFIS) to act on both the amplitude and the angle of the desired reference voltage. Simulation results by using ANFIS are compared with those of the conventional direct torque control (DTC). The comparison results of direct torque neuro-fuzzy controller (DTNFC), illustrate the reduction in the torque and stator flux ripples and the validity of the proposed method is confirmed by the simulation results.

[1]  Chuen-Tsai Sun,et al.  Neuro-fuzzy modeling and control , 1995, Proc. IEEE.

[2]  Paul C. Krause,et al.  Analysis of electric machinery , 1987 .

[3]  Chuen Ling Toh.  Implementation of direct torque control of induction machines utilizing Digital Signal Processor (DSP) and Field Programmable Gate Arrays (FPGA) , 2005 .

[4]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[5]  A. Cheriti,et al.  Induction motor dynamic neural stator flux estimation using active and reactive power for direct torque control , 1999, 30th Annual IEEE Power Electronics Specialists Conference. Record. (Cat. No.99CH36321).

[6]  M. Depenbrock,et al.  Direct self-control (DSC) of inverter-fed induction machine , 1988 .

[7]  F. Zidani.  DIRECT TORQUE CONTROL OF INDUCTION MOTOR WITH FUZZY MINIMIZATION TORQUE RIPPLE , 2005 .

[8]  M. Depenbrock,et al.  Direct self control of inverter-fed induction machine, a basis for speed control without speed-measurement , 1989, Conference Record of the IEEE Industry Applications Society Annual Meeting,.

[9]  A. Del Pizzo,et al.  Direct torque control with the application of a predictive pulse width control , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).

[10]  Besir Dandil,et al.  Fuzzy neural network IP controller for robust position control of induction motor drive , 2009, Expert Syst. Appl..

[11]  N.R.N. Idris,et al.  Design and Implementation of a Direct Torque Control of Induction Machine utilizing a Digital Signal Processor and the Field Programmable Gate Arrays , 2005, 2005 International Conference on Power Electronics and Drives Systems.

[12]  Azeddine Draou,et al.  A Variable Gain PI Controller Used for Speed Control of a Direct Torque Neuro Fuzzy Controlled Induction Machine Drive , 2007 .