Performance Evaluation of Artificial Intelligence Controller for Brushless DC Motor Driven household refrigerator Compressor

Abstract

Household refrigerator is a daily-need home electrical device and operates practically all the year. In household refrigerator compressor applications, Brushless DC motors (BLDCM) are most predominantly used. Here, an artificial intelligence controller is used for effective speed regulation of BLDCM. In general, artificial intelligence controllers (AIC) provide better transient performance and results steady state error. The PI speed controller gives good steady state performance but poor transient performance. For getting an efficient performance, the referred artificial intelligence PI controller combines the merits of the above two controllers. Also, this paper presents relative study among PI, AIC and hybrid fuzzy PI controller for a BLDCM. In Matlab/Simulink environment, the BLDCM with proposed controller is designed and simulated. Results prove the predominance of proposed artificial intelligence PI controller for BLDC motors.