This paper describes a fault-tolerant controller (FTC) of induction motor (IM) with inter-turn short circuit in stator phase winding. The fault-tolerant controller is based on the indirect rotor field oriented control (IRFOC) and an observer to estimate the motor states, the amount of turns involved in short circuit and the current in the short circuit. The proposed fault controller switches between the control of the two components of measured stator current in the synchronously rotating reference frame and the control of the two components of estimated current in the case of faulty condition when the estimated current in the short circuit is not destructive of motor winding. This technique is used to eliminate the speed and the rotor flux harmonics and to assure the decoupling between the rotor flux and torque controls. The results of the simulation for controlling the speed and rotor flux of the IM demonstrate the applicability of the proposed FTC.

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This research focuses on the speed control design of permanent magnet synchronous motors (PMSMs) drive system. The purpose is to develop and compare advanced control strategies: RST digital (RSTD) control and adaptive fuzzy‐RST digital (AFRSTD) control. The three control schemes proposed, synthesized, and implemented in experimental test bench in order to be evaluated and compared are: conventional PI controller, RSTD controller, and AFRSTD controller based on the proposed fuzzy system which has to adjust the RSTD polynomial coefficients online using gain scheduling technique. The objective is to improve the performances of the PMSM drive system, in order to obtain high dynamic response, an efficiency of external disturbance rejection, and considerable control robustness against parameter variations. The experimental test bench is based on a dSPACE1104 board with a 1.1‐kW PMSM supplied by 10‐kHz space vector pulse width modulation (SVPWM) current regulated inverter used as a power amplifier consisted of 300 V, 5‐A IGBT, and Matlab/Simulink environment. Experimental results confirm that the AFRSTD controller presents better dynamic performances and significant robustness under parameter variation.