Comparative Study and Evaluation for Application of Artificial Neural Network and Conventional Controller for Dc-Motor

تاريخ النشر

2014

نوع المقالة

رسالة ماجستير

عنوان الرسالة

كلية الهندسة - جامغة طرابلس

المؤلفـ(ون)

.زينب إبراهيم علي

ملخص

Abstract

The DC motor drives one of the high performance drives that still in competition in industrial application, because of its high performance, robustness, and its lower cost compared with AC motor drives.Due to its majority applications, the separately excited DC motor driver is studied. In order to improve, three independent controller design using classical proportional - integral – derivative, linear quadratic regulator and artificial neural network are considered.The Performance of these controllers has been verified through simulation based on MATLAB/SIMULINK software tools. According to the obtained simulation results, it is found that, an artificial neural network can achieve a better transient and steady state response in comparing to the other two design method. Consequently, the superiority of ANN controller over conventional proportional - integral – derivative is demonstrated this shows the superiority of artificial neural network controller over conventional and linear quadratic regulator controllers.