An Adaptive Filter Based Fuzzy Logic Controller Incorporating MTPA for IPMSM Drives

This paper presents an adaptive filter for fuzzy-logic controller for vector controlled based speed controller incorporating with a maximum torque per ampere (MTPA) of an interior permanent magnet synchronous motor (IPMSM) drive to minimize the torque ripple. The design and optimization of the FLC, infinite impulse response (IIR) filter and the adaptation algorithms are presented. Different operating conditions have been studied including various speed commands with nominal and changes in the load torque. 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. An open loop adaptive filter is used to give a fast response while retaining a good noise canceling properties. The simulation was done by using Matlab/Simulink. The simulated results confirmed that the considerable torque ripple reduction can be achieved by utilizing an adaptive filter with FLC.