Fuzzy PID Controller Design for Brushless DC Motor

Due to high productivity, torque and less volume Brushless DC Motors (BLDCM) are largely used in electric vehicles, robotics, food and chemical industrial applications. Unwanted overshooting, prolonged time of settling as well as vibration when moving from one state to the next are the problems related to control systems. Self-tuning Fuzzy PID and PID control techniques were used to resolve the maximum overshoot and longer settling times in the closed loop regulator architecture. This proposed system offers a very exact and effective speed control system. Speed can be increase or decrease as per the requirement and the motor will run at that exact speed. MATLAB/SIMULINK is used to simulate BLDC's speed control and the results are obtained.Due to high productivity, torque and less volume Brushless DC Motors (BLDCM) are largely used in electric vehicles, robotics, food and chemical industrial applications. Unwanted overshooting, prolonged time of settling as well as vibration when moving from one state to the next are the problems related to control systems. Self-tuning Fuzzy PID and PID control techniques were used to resolve the maximum overshoot and longer settling times in the closed loop regulator architecture. This proposed system offers a very exact and effective speed control system. Speed can be increase or decrease as per the requirement and the motor will run at that exact speed. MATLAB/SIMULINK is used to simulate BLDC's speed control and the results are obtained.Due to high productivity, torque and less volume Brushless DC Motors (BLDCM) are largely used in electric vehicles, robotics, food and chemical industrial applications. Unwanted overshooting, prolonged time of settling as well as vibration when moving from one state to the next are the problems related to control systems. Self-tuning Fuzzy PID and PID control techniques were used to resolve the maximum overshoot and longer settling times in the closed loop regulator architecture. This proposed system offers a very exact and effective speed control system. Speed can be increase or decrease as per the requirement and the motor will run at that exact speed. MATLAB/SIMULINK is used to simulate BLDC's speed control and the results are obtained.