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Assessment of Several PID Controllers Applied to DC Motors

Assessment of Several PID Controllers Applied to DC Motors

December 13, 2021 Supreeya Pitisom

Assessment of Several PID Controllers Applied to DC Motors

Abstract	DC motors are used in many industrial applications for precise speed and position control. However, load ripples and external effects on DC motor speed seriously affect system stability and efficiency. This study aims to keep DC motor speed in the reference value constant by determining the optimum PID controller parameters (Kp, Ki, and Kd). PID parameters were estimated using the traditional Ziegler Nichols method and meta-heuristic Genetic and Grey Wolf Optimization Algorithms. The Gear DC motor experimental setup was controlled with STM32F4 microcontroller using Waijung Blockset in MATLAB-Simulink. The results of the three algorithms were compared, and it has been seen that the Grey Wolf algorithm gave the best results in overshoot, settling time, rise time, and steady-state error.
Item Type	Conference Paper
Title	Assessment of Several PID Controllers Applied to DC Motors
Author	Mirac Berke Kilic Alperen
Date	2021-10
Proceedings Title	2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
Conference Name	2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
Pages	700-705
DOI	10.1109/ISMSIT52890.2021.9604632
Library Catelog	IEEE Xplore
Attachments	https://ieeexplore.ieee.org/document/9604632
Tags	Conference Paper, Waijung 1, ESP32, DC motor, DC motors, Gears,Genetic Algorithm, Genetic algorithms, Genetics, Grey Wolf Optimization, Microcontrollers, PID controller, Position control, Steady-state, Ziegler Nichols

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Supreeya Pitisom (Content Writer)