Rotational Speed Control of Brushless Dc Motor Using Genetic Algorithm Optimized PD Controller

Abstract

Controlling the rotational speed of brushless DC (BLDC) motor is an essential task to improve the transient and the steady state performances under loaded condition. Rotational speed control of BLDC motor using genetic algorithm optimized proportional-derivative (PD) controller to form what the so-called the genetic algorithm-PD (GA-PD) controller is proposed in this paper. Control system is realized in a microcontroller namely a 16MHz Atmega2560 with an absolute encoder as a position sensor. The effectiveness of the GA-PD controller is tested under constant and varying step functions with the Ziegler-Nichols-PD (ZN-PD) controller as a benchmark. Experimental results show that the GA-PD controller has slower speed than the ZN-PD controller, but the latter has overshoot and small oscillations during its steady state condition as a consequent of having a fast rise time.

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“…To test the difference measurements between the designed tools and the standard tools, the average difference test is used manually by calculating Zcal and using IBM SPSS Statistics 22 application to make sure that the measurement results are tested properly. If the value of Zcal < Ztable [10] and pvalue shown by the results of IBM SPSS Statistics 22 is greater than 0.05, it means there is no significant difference between the average results of measurements of the designed tools and the standard tools.…”

“…Unlike a microprocessor, it includes processor with memory location for storing programs written in C language [9]. The maximum voltage is 24volt, and is limited up to 5 Vref Pulse Width Modulation Signal [10]. This research was started at the author's residence from December 8, 2018 to February 8, 2019.…”