Control of Permanent-Magnet Synchronous Motors Using Fuzzy Logic Considering Parameter Variation and Diagnostic Capability for Hostile Environment Applications

Abstract

In this paper, the effect of parameter variation on the operation performance of the permanent magnet synchronous motor (PMSM) considered. The model which includes the parameter variation as a function of the operating condition is developed in MATLAB/Simulink. A non- linear control fuzzy logic control is used to dynamically change the control gain to regulate the toque dynamics while the fault information symptoms obtained from average park transformation is supplied to the fuzzy system to reveal the fault information. The simulation result indicates that the motor performance figure like ripple torque, ripple current and speed highly affected with parameter when parameter variation is considered.