Journal of Industrial Automation and Electrical Engineering
Vol. 1 No. 2 (2024): Vol 1 No 2 (2024): December 2024

DC motor control using a four-quadrant chopper based on artificial neural networks

Rahmad, Rahmad Rizki (Unknown)
Hendra, Ayu (Unknown)
Yuhendri, Muldi (Unknown)



Article Info

Publish Date
27 Feb 2025

Abstract

DC motors are widely used as drives in various industrial applications. To ensure optimal performance, precise control of DC motors is essential, including managing rotation direction, speed, braking, and starting current. This paper presents a speed control system for a DC motor using a 4-quadrant DC chopper with a neural network as the control core. The system is designed and implemented on a 12V DC motor and tested under varying speed conditions. Motor speed is adjusted in MATLAB Simulink according to operational requirements. The results confirm that the proposed DC motor speed control system, utilizing a four-quadrant chopper, functions effectively, providing accurate speed control through MATLAB Simulink.

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Journal Info

Abbrev

jiaee

Publisher

Subject

Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Description

Journal of Industrial Automation and Electrical Engineering (JIAEE) is an open-access peer-reviewed journal which is providing a platform to researchers, scientists, engineers, and practitioners/professionals throughout the world to publish the latest creations and achievement, future challenges and ...