Optimized Field Oriented Control Design by Multi Objective Optimization

Hüseyin Oktay Erkol

doi:10.14569/ijacsa.2019.0100207

Abstract

Permanent Magnet Synchronous Motors are popular electrical machines in industry because they have high efficiency, low ratio of weight/power and smooth torque with no or less ripple. In addition to this, control of synchronous motor is a complex process. Vector control techniques are widely used for control of synchronous motors because they simplify the control of AC machines. In this study, Field Oriented Control technique is used as a speed controller of a Permanent Magnet Synchronous Motor. The controller must be good tuned for applications which need high performance, and classical methods are not enough or need more time to achieve the requested performance criteria. Optimization algorithms are good options for tuning process of controllers. They guarantee finding one of the best solutions and need less time for solving the problem. Therefore, in this study, Tree-Seed Algorithm is used for tuning process of the controller parameters and the results show that Tree-Seed Algorithm is good tool for controller tuning process. The controller is also tuned by Particle Swarm Algorithm to make a comparison. The results show that optimized system by Tree-Seed Algorithm has good performance for the applications which need changing speed and load torque. It has also better performance than the system which is optimized by Particle Swarm Optimization algorithm.

Highlights

Permanent magnet synchronous motors (PMSM) are widely used in industry
PMSM has some motor loses like cooper loss, mechanical loss and iron loss
These loses are must be minimized for high efficiency and there are many studies which are focused on optimized motor design [2], [3]

Summary

INTRODUCTION

Permanent magnet synchronous motors (PMSM) are widely used in industry. Some of the application areas are robotics, aviation and aerospace, renewable energy, motion control etc. PMSM has some motor loses like cooper loss, mechanical loss and iron loss These loses are must be minimized for high efficiency and there are many studies which are focused on optimized motor design [2], [3]. The control strategies for speed or position control of a PMSM must be optimal. Particle swarm algorithm [15], Grey Wolf Optimizer [16] and Krill Herd algorithm [17] are some other alternatives for controller optimization of PMSMs. In this study, a PMSM is modelled and a speed controller is designed using FOC technique. A robust FOC controller is obtained using TSA It has a good performance in the applications which cover changing of speed and load torque. Particle Swarm Algorithm, which is widely used in controller optimization studies, is used for comparing with the TSA optimized system

PMSM AND FIELD ORIENTED CONTROL

TREE-SEED OPTIMIZATION ALGORITHM

EXPERIMENTAL STUDY

Findings

CONCLUSION