Robust Control Of Dc Motor Using Fuzzy Sliding Mode Control And Genetic Algorithm

Volume 2, Issue 4, pp 572 - 579 Publication Date: May 30, 2011

Authors

Mahbubeh Moghaddas - Islamic Azad University Gonabad Branch, Iran.
Mohamad Reza Dastranj - Islamic Azad University Gonabad Branch, Iran.
Nemat Changizi - Islamic Azad University Gonabad Branch, Iran.
Modjtaba Rouhani - Islamic Azad University Gonabad Branch, Iran.


Abstract

Wide amplitude, DC motor's speed and their facile control cause its great application in industries. Generally the DC motors gain speed by armature voltage control or field control. In this paper, by using a combination of Fuzzy Sliding Mode methods and Genetic Algorithms, we have tired to optimally control the inverted pendulum by nonlinear equations. The results of this simulation have been mentioned in the conclusion. It seems that the results be acceptable results.


Keywords


References

[1].Paul I-HaiLin,Santai Hwang and John Chou, "COMPARISON ON FUZZY LOGIC AND PID CONTROLS FOR A DC MOTOR POSITION CONTROLLER" Indiana-Purdo University Fort Wayne.
[2]. J.Tang and R.Chassaing, “PID Controller Using theTMS320C31 DSK for Real-Time DC Motor Control” Proceedings of the 1999 Texas Instruments DSPS Fest, Houston, Texas, August 1999.
[3].Y.P. Yang, C.H. Cheung, S.W. Wu, J .P Wang "OPTIMAL DESIGN AND CONTROL OF AXIAL-FLUX BRUSHLESS DC WHEEL MOTOR FOR ELECTRICAL VEHICLES” Proceedings of the 10th Mediterranean Conference on Control and Automation - MED2002 Lisbon, Portugal, July 9-12, 2002.
[4]Hyun Cheol Cho, Kwon Soon Lee and Sami M. Fadali REAL-“TIME ADAPTIVE SPEED CONTROL OF DC MOTORS WITHBOUNDED PERIODIC RANDOM DISTURBANCE” ICIC International °c 2009 ISSN 1349-4198.
[5].M.Fallahi, Member, IAENG, S.Azadi, Member, IAENG. “Adaptive Control of a DC Motor Using Neural Network Sliding Mode Control” Proceedings of the International MultiConference of Engineers and Computer Scientists 2009 Vol II IMECS 2009, March 18 - 20, 2009, Hong Kong.
[6]Jang J. S. R. Adaptive network based fuzzy inference systems. IEEE Transactions on systems man and cybernetics 1993, p. 665-685.
[7]Boumediene ALLAOUA*, Abdellah LAOUFI, Brahim GASBAOUI, and Abdessalam ABDERRAHMANI ''Neuro-Fuzzy DC Motor Speed Control Using Particle Swarm Optimization, Issue 15, July-December 2009.
[8]. M.Fallahi, Member, IAENG, S.Azadi, Member, IAENG.“Robust Control of DC Motor Using Fuzzy Sliding Mode Control with PID Compensator” Proceedings of the International Multi Conference of Engineers and Computer Scientists 2009 Vol II IMECS 2009, March 18 - 20, 2009, Hong Kong J.Tang and R.Chassaing,