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General Information
    • ISSN: 2010-3719 (Online)
    • Frequency: Quarterly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Executive Editor: Jennifer Zeng
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET), EBSCO.
    • E-mail ijiee@ejournal.net
Editor-in-chief

 
University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, The value of IJIEE will be well recognized among the readers in the related field."

IJIEE 2012 Vol.2(5): 773-776 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2012.V2.205

Robust Control of Inverted Pendulum Using Fuzzy Sliding Mode Control and Genetic Algorithm

Mohamad Reza Dastranj, Mahbubeh Moghaddas, Younes Ghezi, and Modjtaba Rouhani

Abstract—One of the most important problems today is robotics and its control, due to the vast Application of inverted pendulum in robots. In this paper, by using a acombination 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.

Index Terms—Nonlinear, optimal, fuzzy sliding mode, genetic algorithm.

The authors are with the Department of control engineering Islamic Azad University, Gonabad Branch, Iran (e-mail:mohamadrezadastranj@gmail.com).

[PDF]

Cite: Mohamad Reza Dastranj, Mahbubeh Moghaddas, Younes Ghezi, and Modjtaba Rouhani, "Robust Control of Inverted Pendulum Using Fuzzy Sliding Mode Control and Genetic Algorithm," International Journal of Information and Electronics Engineering vol. 2, no. 5, pp. 773-776, 2012.

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