Performance Analysis and Implementation of Brushless DC Motor by PID, Fuzzy and ANIFS Controllers

Performance Analysis and Implementation of Brushless DC Motor by PID, Fuzzy and ANIFS Controllers

Mr. Rahul R Gunjker ( Shri Shivaji Institute of Engineeing and Management Studies , Parbhani),

Ms. Anuradha Eknathrao Nikam ( Shri Shivaji Institute of Engineeing and Management Studies , Parbhani)

Abstract: Now a day’s Brushless DC (BLDC) motors are more popular because of its good electrical and mechanical property. These motors are now changing to brushed DC motors and induction motors in various applications. The main problem that occurs in the traditional PID controller is that the parameters obtained from the drive control system of the BLDC servo motor cannot produce a steady state under various operating conditions such as adjusted gain plus transient response and parameter variation, load disturbance. So a fuzzy controller provides good speed response for start-up.

In this paper how the design and simulation of ANFIS controller is better for the performance of brushless DC motor (BLDC) servomotor as well as the design and implementation of ANFIS controller and its performance are compared is shown. The capability of BLDC servomotor based on Fuzzy, ANFIS and PID controller is investigated under different operating conditions. Paper represents the PID controller and fuzzy controller to demonstrate error tracking capability and usefulness of ANFIS controller in control applications. By using the PID, Fuzzy and ANFIS controller we can implement, analyze the overall performance of brushless DC motor.

KEYWORDS:

Proportional-Integral-Derivative (PID) controller, Brushless DC (BLDC) motor, Adaptive-Network-Based Fuzzy Inference System (ANFIS),  (FLC) Fuzzy logic controller (IGBT) Insulated Gate Bipolar Transistor.