Comparison between Takagi Sugeno FIS and PI Controller: An Adaptation Scheme of MRAS for Speed Sensorless Control of PMSM

Abstract

— This paper proposes modification of an adaptation scheme which aims to replace the conventional PI controller for MRAS by using Fuzzy Logic Control (FLC). This FLC based on Takagi-Sugeno Fuzzy Logic Inference System (FIS). To achieve this goal, field oriented control (FOC) method has been utilized to control the speed of PMSM with the implementation of MRAS to observe the rotor position and speed of the motor. PMSM becomes the reference model for MRAS while the current model in the rotor reference frame is set as the adjustable model. The Takagi Sugeno Fuzzy FIS is executed in the MRAS adaptive scheme in order to tune the errors between the reference and adjustable model. The effectiveness of the Takagi Sugeno FIS to tune the errors in MRAS scheme is compared with the conventional PI controller. The proposed method clearly indicates improved motor performance over a wide range of operating speeds since is capable of tracking the motor speed effectively.