Brushless direct current (BLDC) motors are widely used in industrial, aerospace, medical, machine tools, aerospace and control applications. Nowadays they are becoming popular due to their advantages such as reduced maintenance, better speed-torque characteristics, good dynamic performance, noiseless operation, wide speed range, compact size, high torque to volume ratio, low moment of inertia and high efficiency. However, very few control techniques are available for controlling the BLDC drive systems. This paper presents a MATLAB simulation of practically realizable control techniques such as a conventional proportional-integral-derivative (PID) controller, a fuzzy controller, an adaptive artificial neural network proportional-integral-derivative (ANN-PID) controller and a pulse width modulation technique based PID controller for achieving better performance during the operating conditions. The simulation results are presented to highlight the effectiveness of these controllers such as speed of response, overshoot and steady-state error etc.
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