Comparative Analysis of Controller tuning Techniques of Ziegler Nichols and Genetic Algorithm in a Brushless Direct Current Motor
Aborisade David, Adebayo Isaiah, Olugbemi Adetayo

Abstract
The failure of conventional tuning method to obtain optimum performance in brushless direct current motor (BLDC) is a great challenge in industrial control as this may result in time delay and difficulties in parameter variations. Although, the use of conventional tuning techniques had been considered suitable in controlling the speed and torque of a BLDC motor, however, these fails to perform satisfactorily in certain conditions especially, when considering the non-linear nature of the motor. Also, using conventional technique to tune the parameters gain of the Proportional Integral Derivative (PID) controller is a difficult task. To overcome these difficulties, modern heuristic optimization technique are required to optimally tune the PID of the controller for optimal speed and torque control of three phase BLDC motor. The Brushless DC Motor mathematical equation which describes the voltage and corresponding rotational angular speed and torque of the brushless DC motor was derived using electrical DC Machines theorem. The simulation of BLDC model based on GA-PID controller was done using MATLAB 2018a. The simulation result showed that by applying genetic optimization function, there are no transient oscillation in the system response.

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