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| Design Novel Lookup Table Changed Auto Tuning FSMC: Applied to Robot Manipulator
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Full
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Source |
International Journal of Engineering (IJE) |
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Table of Contents |
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Complete Issue PDF(3.81MB) |
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Volume: 6 Issue: 1 |
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Pages: NULL |
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Publication
Date: February 2012 |
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ISSN
(Online): 1985-2312 |
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Pages |
25 - 41 |
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Author(s) |
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Published
Date |
21-02-2012 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
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KEYWORDS: Sliding Mode Controller, Fuzzy Logic Methodology, Fuzzy Sliding Mode Controller, Adaptive Methodology, Fuzzy Lookup Table Changed Sliding Mode Controll |
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| Refer to this paper, design lookup table changed adaptive fuzzy sliding mode controller with minimum rule base and good response in presence of structure and unstructured uncertainty is presented. However sliding mode controller is one of the robust nonlinear controllers but when this controller is applied to robot manipulator with highly nonlinear and uncertain dynamic function; caused to be challenged in control. Sliding mode controller in presence of uncertainty has two most important drawbacks; chattering and nonlinear equivalent part which proposed method is solved these challenges with look up table change methodology. This method is based on self tuning methodology therefore artificial intelligence (e.g., fuzzy logic method) is played important role to design proposed method. This controller has acceptable performance in presence of uncertainty (e.g., overshoot=0%, rise time=0.8 s, steady state error = 1e-9 and RMS error=0.00017). |
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| Farzin Piltan : Colleagues
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| Mohammad Ali Dialame : Colleagues
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| Abbas Zare : Colleagues
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| Ali Badri : Colleagues
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