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.
1. Brushless DC motors (BLDCM)
2. Fuzzy PID controller
3. Adaptive Fuzzy PID controller
Fig.1. Speed control of BLDC motor
Fig.2. Speed characteristics with no load speed of 3000 rpm
Fig.3. Torque characteristics with no load speed of 3000 rpm
Fig. 4. Speed characteristics with no load step down speed of 3000- 2500 rpm
Fig.5. Torque characteristics with no load step down speed of 3000-2500 rpm
Fig.6. Speed characteristics with load speed of 3000 rpm
Fig.7. Torque characteristics with load speed of 3000 rpm
This paper presents the performance of fuzzy PID controller and Adaptive Fuzzy PID controller of BLDC motor for speed control using Simulink model. Combination of fuzzy control and conventional PID controller establishes an intelligent control, which regulates the control parameters depending upon the error. Two inputs and three outputs were used in this fuzzy adaptive PID controller. From the Simulation, BLDC motor speed control of Adaptive fuzzy PID controller had better performance than fuzzy PID controller for the same operation condition, mainly when BLDC motor operates in different speed and also BLDC motor speed to be constant when the load varies. Simulation results were also shows that fuzzy logic adaptive PID controller had lesser overshoot, faster response and better stability.
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