Interval Type-2 T-S Fuzzy Control of Permanent-Magnet Synchronous Motor

Abstract

Interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy control of permanent-magnet synchronous motor (PMSM) is developed in this paper. IT2 T-S fuzzy system is proposed to control speed and current of a PMSM. The IT2 T-S fuzzy model of a PMSM is first derived from its nonlinear dynamic model. Next, the IT2 T-S fuzzy controller is designed via parallel distributed compensation (PDC). The stability conditions of the proposed controller are obtained by Linear Matrix Inequality (LMI). The encoder signals are implemented to calculate rotor speed and rotor position. The three-phase winding currents are properly sensed into the microcontroller. The corresponding duty ratios of power switches are determined using IT2 T-S fuzzy controller. Finally, the driving performance is validated via experimental results. Moreover, the interval type-1 T-S fuzzy control is compared to verify the improvement in driving performance.