Intelligent Operation Optimization of Permanent Magnet Synchronous Motor


Thamir Hassan Atyia*, Zaid Jadaan Fuhaid


Electrical Engineering, Tikrit University, Iraq

Corresponding Author Email: [email protected]

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

This paper proposes an intelligent design of Permanent Magnet Synchronous Motor (PMSM) established on maximum efficiency, and an increased torque.  Field Oriented Control (FOC) scheme is used as a speed regulator for PMSM with Space Vector Pulse Width Modulation (SVPWM) technology. For applications that require great performance and efficiency, and where traditional approaches are insufficient or take too long to obtain the desired results. Optimization algorithms are viable solutions for controller tuning. They ensure that one of the best solutions will be found and that the problem will be solved in within allowed time. In this research study Tree-Seed Algorithm (TSA) is utilized in the controller parameter tuning procedure. The obtained results reveal that the TSA optimized system has outperformance for particular usage that require variable speed as well as load torque. The simulation results showed that both the Genetic Algorithm (GA) and Tree and Seed Algorithm (TSA) optimization techniques were effective in tuning PI controller to follow desired speed, and that they also had satisfactory dynamic responses, confirm TSA is a promising method greatly beneficial when compared to other algorithms.  Robust Matlab/Simulink platform adopted in developing mathematically modeled PMSM.  Simulation results show the effectiveness of the proposed control methods.