Performance Improvement of Reluctance Synchronous Motor Using Brain Emotional Learning Based Intelligent Controller

Mehrdad Ahmadi Kamarposhti,Hassan Shokouhandeh,Ilhami Colak,Kei Eguchi

doi:10.3390/electronics10212595

Abstract

In this paper, intelligent control of a reluctance synchronous motor by an emotional controller, considering the effect of magnetic saturation on implementation, is analyzed; the maximum torque per ampere (MTPA) strategy is provided. According to the application of the proposed control scheme, the structure adequately performs the control of speed and magnetic flux of the reluctance synchronous motor drive. Additionally, the application of intelligent control based on an emotional learning system has provided adequate results to create a proper control process. The control function of a SynRM drive based on vector control in a rotor machine was compared with another based on emotional controllers and a PI controller regulated by genetic algorithms. The result of this comparison was the improvement of control functions by the controller based on the emotional controller. In addition, the MTPA based on search algorithms was well implemented in different situations. Due to its simplicity and independence from system parameters, the emotional controller can be considered as a potential operational method in the industry.

Highlights

The presence of electric-powered machines has created a huge transformation worldwide, which is reflected in other industrial and scientific fields
As shown in Figure 10(a1), both controllers have an appropriate response speed, but the PICon-based control system has a significant increase compared to controllers based on the emotional controller
An attempt was made to provide an appropriate scheme of performance for a control system based on the standard structure of an AC drive motor

Summary

Introduction

The presence of electric-powered machines has created a huge transformation worldwide, which is reflected in other industrial and scientific fields. Due to changes based on motor saturation, the MTPA search algorithm has been proposed to increase efficiency This algorithm seeks to find the proper amount of magnetic flux that, despite providing the least reactive power to generate torque, minimizes losses of saturation and ohms. If MFs and fuzzy rules are not properly selected, fuzzy controllers may not perform satisfactorily These systems can be complicated in the implementation of the operating system, and so the cost of using advanced processors for the user is imposed, whereas emotional-based controllers with simple structures have automated training. The vector control of the velocity of the reluctance synchronous motor drive is provided by implementing the maximum torque per ampere.

Methods

Results

Conclusion