Speed Control of Separately Exited DC Motor Using Artificial Neural Network

المؤلفون

  • Hashmia SH. Dakheel Electromechanical Engineering Department, University of Technology, Baghdad, Iraq مؤلف

الكلمات المفتاحية:

Separately dc motor، SEDM، Artificial Neural Network، PI -NARMA-L2

الملخص

This paper proposes implementing intelligence techniques to improve efficiency speed control of separately excited DC motor (SEDM). This technique is Artificial Neural Network (ANN) which is one of the most important modern techniques that using in control applications.In this study, the intelligent model is developed to speed control of SEDM which operated at three stages:-the first, NARMA-L2 controller used to control the speed under different external loads conditions. The second, the controller is performance at different reference speed and the last, the intelligent controller deals with various parameters of SEDM. Simulation results indicates to the advantages, effectiveness, good performance of the artificial neural network controller which is illustrated through the comparison obtain by the system when using conventional controller (Proportional-Integral (PI)). So the results show ANN techniques provide accurate control and ideal performance at real time.

التنزيلات

Key Dates

منشور

2012-12-01

كيفية الاقتباس

Speed Control of Separately Exited DC Motor Using Artificial Neural Network. (2012). مجلة الهندسة والتنمية المستدامة, 16(4), 349-362. https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/1249

المؤلفات المشابهة

11-20 من 260

يمكنك أيضاً إبدأ بحثاً متقدماً عن المشابهات لهذا المؤلَّف.