PERFORMANCE COMPARSON OF P, PI, PID AND MODEL BASED PREDICTIVE CONTROLLERS FOR THE POSITION CONTROL OF BRUSHLESS DC MOTORS

Growing need of industry for higher productivity is placing new demands on mechanisms connected with electrical motors. This is leading to different problems in work operation due to fast dynamics and instability. The stability of the system is essential to work at desired set targets. The non- linear effects caused by a motor frequently reduce stability which reduces the controller's ability to maintain speed or position at set points. Hence number of the industrial process applications requires position control of DC motor. In the present project, various controllers like Proportional (P), Proportional-Integral (PI), Proportional-Integral-Derivative (PID) and Model -Based Predictive Controller (MPC) are used to control the position of a Brushless DC Motor (BLDC). The conventional controllers especially PID is mostly used in industries due to its robust performance in a wide range of operating conditions & simple tuning methods. Here PID controller with Ziegler-Nichols (ZN) technique for controlling the position of the field-controlled with fixed armature current DC motors is designed.