Sensorless Control Approach Based Adaptive Fuzzy Logic Controller for IPMSM Drive with an On-line Stator Resistance Estimation

A sliding-mode observer (SMO) is an important robust control approach. It is applied to estimate the rotor position of an interior permanent magnet synchronous motor (IPMSM) drive incorporating maximum torque per ampere (MTPA). This paper presents a novel adaptive fuzzy-logic controller (FLC) with a sliding mode sensorless control. The resistance has a strong influence to the speed estimation especially for the speed sensorless control. The stator resistance estimation based on the error of the d-axis current. A fuzzy logic controller (FLC) for the IPMSM drive has been found to maintain high performance standards with a much simpler and less computation implementation. The design and optimization of the FLC are presented. A Lyapunov approach is used to determine the stability properties. The Matlab/Simulink results have been given under different operating conditions. The simulated results confirmed the robustness of the proposed system.