Title :
Control of BLDC motor based on adaptive fuzzy logic PID controller
Author :
Krishnan, P. Hari ; Arjun, M.
Author_Institution :
Dept. of Electr. & Electron. Eng., Anna Univ., Coimbatore, India
Abstract :
This paper presents an Adaptive fuzzy logic PID controller for speed control of Brushless Direct current Motor drives which is widely used in various industrial systems, such as servo motor drives, medical, automobile and aerospace industry. BLDC motors were electronically commutated motor offer many advantages over Brushed DC Motor which includes increased efficiency, longer life, low volume and high torque. This paper presents an overview of performance of fuzzy PID controller and Adaptive fuzzy PID controller using Simulink model. Tuning Parameters and computing using Normal PID controller is difficult and also it does not give satisfied control characteristics when compare to Adaptive Fuzzy PID controller. From the Simulation results we verify that Adaptive Fuzzy PID controller give better control performance when compared to fuzzy PID controller. The software Package SIMULINK was used in control and Modelling of BLDC Motor.
Keywords :
DC motor drives; adaptive control; angular velocity control; brushless DC motors; commutator motors; fuzzy control; machine control; three-term control; BLDC motor control; BLDC motor modelling; Simulink model; adaptive fuzzy logic PID controller; brushed DC motor; brushless direct current motor drives; electronically commutated motor; industrial systems; normal PID controller; servo motor drives; software Package; speed control; tuning parameters; Adaptation models; Brushless DC motors; Niobium; Permanent magnet motors; Velocity control; Adaptive Fuzzy PID controller; Brushless DC motors (BLDCM); Fuzzy PID controller;
Conference_Titel :
Green Computing Communication and Electrical Engineering (ICGCCEE), 2014 International Conference on
Conference_Location :
Coimbatore
DOI :
10.1109/ICGCCEE.2014.6922372