Decreasing Starting Current for Separate Excited DC Motor using ANFIS Controller

محورهای موضوعی : مهندسی هوشمند برق

Saber Ghadri ¹ (MSc Student, Electrical Engineering Department, Islamic Azad University, Central Tehran Branch, Tehran, Iran)
Shahram Javadi ² (Assistant Professor, Electrical Engineering Department, Islamic Azad University, Central Tehran Branch, Tehran, Iran)
Fardad Farokhi ³ (Assistant Professor, Electrical Engineering Department, Islamic Azad University, Central Tehran Branch, Tehran, Iran)

تاریخ دریافت : 1394/01/24 تاریخ پذیرش : 1394/01/24 تاریخ انتشار : 1391/12/11

کلید واژه: ANFIS, PWM, Separate Excited DC Motor, Speed Control,

چکیده مقاله :

Today, DC motors is still being used globally due to their easy speed controllability. In this article, an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller is designed for DC motors. The main purpose of performing such task is to reduce the DC motor starting current and deleting the ripple current during starting time in considering control parameters such as: rise time, settling time, maximum overshoot and system steady state error. The results have been simulated in MATLAB and a comparison is made between ANFIS controller and PID controller

منابع و مأخذ:

[1] Sanju Saini and Arvind Kumar, “ Speed Control of Separately

Excited D.C Motor using Self Tuned Techniques”

International Journal of Computer Science And Technology,

Vol.3, Issue.1, Jan.- March 2012.

[2] Basma A.Omar and Amira Y.Haikal, Fayz F.Areed, “Fuzzy

Speed Controller for a Separately excited DC Motor”,

International Journal of Computer Applications (0975 – 8887),

Vol.39, No.9, February 2012.

[3] Boumediene Allaoua and Abdellah Laoufi and Brahim

Gasbaoui, and Abdessalam Abderahmani, “Neuro-Fuzzy DC

Motor Speed Control Using Particle Swarm Optimization”

Leonardo Electronic Journal of Practices and Technologies,

Issue 15, July-December 2009.

[4] Dan Mihai, “A Diso Neuro-Fuzzy Control For DC Servo

drives”, Annals of the University of Craiova Electrical

Engineering series, No.35, ISSN 1842-4805, 2011.

[5] Mouloud A. Denai, Frank Palis and Abdelhafid Zeghbib,

“Anfis Based Modeling and Control of Nonlinear Systems”,

IEEE international conference on systems, Man and

Cybernetics, Vol.4, pp.3433-3438, 2004.

[6] Chapman StephenJ, “Electric machinery fundamentals” fourth

edition ,McGraw-Hill, ISBN 0-07- 246523-9, 2005.

[7] Yu H Zhang X and Hu Q, “Application of NN-PID Control in

Linear Elevator”, IEEE Computer Society Proceedings of Fifth

International Conference on Nat