Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
DC motors are proven enhanced performance while it used in different applications where accurate speed control is demanded. This study emphasises to deploy artificial neural controller for accurate and rapid control of speed. A comparative approach is made to prove the strength of ANN controller over Proportional Integral (PI) controller. MATLAB ANN toolbox and Simulink library is used to emulate the paradigm. Observations are made base on experimental system and the same is revealed more rapid response to speed fluctuation is made by ANN controller under different load circumstances. Neural network is designed to ensure perfect speed regulation after it fed by reference speed and other electrical parameters such as voltage and armature current. Moderated error is detected at ANN controllers of 1e-7 and 8 after 5000 epics of training process.
How to cite this article:
Majeed Rashid Zaidan. Impact of Artificial Neural Network for DC Motor Speed Control Over the
Conventional Controller.
DOI: https://doi.org/10.36478/jeasci.2018.9156.9163
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2018.9156.9163