Assessment of the Hybrid Fuzzy PI Speed Controller's Performance in PMSM Utilizing Model Reference Adaptive System (MRAS) Estimation

Vector control is a widely adopted technique for managing permanent magnet synchronous motors. The performance of the drive is significantly influenced by the outer speed loop in vector-controlled PMSM systems. To enhance speed regulation of PMSM effectively with speed estimation of permanent magnet synchronous motor (PMSM) based on model reference adaptive system (MRAS), this study proposes the use of a Hybrid Fuzzy PI controller. In general, the controller exhibits superior performance under steady-state conditions akin to a traditional PI controller, while also demonstrating effectiveness in transient conditions like a fuzzy logic controller. To achieve optimal performance, the Hybrid Fuzzy PI controller amalgamates the strengths of both controllers mentioned above. Additionally, the paper conducts a comparative study among PI, fuzzy logic controller, and hybrid PI-Fuzzy controllers for the speed control of PMSMs. The findings reveal promising performance in the response of the vector-controlled PMSM drive when employing these hybrid fuzzy-PI speed controllers.