A COMPARATIVE ANALYSIS OF FUZZY LOGIC AND GENETIC ALGORITHM CONTROL FOR DTC BASED PMSM

In this work, Fuzzy logic control (FLC) and Genetic Algorithms (GA) techniques are used for speed control of permanent magnet synchronous motor drives to obtain high operating performance. Due to the great torque ripples on less speed conditions of PMSM when using the PI-type speed controller on conventional DTC, it is relocated using fuzzy logic controller. To overcome the entire torque ripple problems arising in the fuzzy method, Genetic Algorithm is introduced. By using this search algorithm, the error due to harmonics is reduced in a substantial amount. Simulation results show that the introduction of GA leads to an improvement in speed regulation of PMSM.