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| Design Auto Adjust Sliding Surface Slope: Applied to Robot Manipulator
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Source |
International Journal of Robotics and Automation (IJRA) |
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Table of Contents |
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Volume: 3 Issue: 1 |
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Pages: NULL |
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Publication
Date: February 2012 |
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ISSN
(Online): 2180-1312 |
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Pages |
27 - 44 |
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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, Sliding Mode Fuzzy Methodology, Auto Tuning Sliding Mode Fuzzy Controller |
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| The main target in this paper is to present the nonlinear methods in order to control the robot
manipulators and also the related results. Also the important role of sliding surface slope in sliding
mode fuzzy control of robot manipulator should be considered. Sliding mode controller (SMC) is a
significant nonlinear controller in certain and uncertain dynamic parameters systems. To solve the
chattering phenomenon, this paper complicated two methods to each other; boundary layer
method and applied fuzzy logic in sliding mode methodology. To remove the chattering sliding
surface slope also played important role so this paper focused on the auto tuning this important
coefficient to have the best results by applied mathematical model free methodology. Auto tuning
methodology has acceptable performance in presence of uncertainty (e.g., overshoot=0%, rise
time=0.8 s, steady state error = 1e-9 and RMS error=0.0001632). |
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| Farzin Piltan : Colleagues
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| Sadeq Allahdadi : Colleagues
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| Mohammad A. Bairami : Colleagues
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| Hajar Nasiri : Colleagues
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