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Design Novel Lookup Table Changed Auto Tuning FSMC: Applied to Robot Manipulator
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International Journal of Engineering (IJE)
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Volume:  6    Issue:  1
Pages:  NULL
Publication Date:   February 2012
ISSN (Online): 1985-2312
Pages 
25 - 41
Author(s)  
 
Published Date   
21-02-2012 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
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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4 Piltan Farzin, et al., “Artificial Chattering Free on-line Fuzzy Sliding Mode Algorithm for Uncertain System: Applied in Robot Manipulator,” International Journal of Engineering, 5 (5):220-238, 2011.
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6 Frank L.Lewis, Robot dynamics and control, in robot Handbook: CRC press, 1999.
7 Piltan, F., et al., “Evolutionary Design on-line Sliding Fuzzy Gain Scheduling Sliding Mode Algorithm: Applied to Internal Combustion Engine,” International journal of Engineering Science and Technology, 3 (10): 7301-7308, 2011.
8 Soltani Samira and Piltan, F. “Design artificial control based on computed torque like controller with tunable gain,” World Applied Science Journal, 14 (9): 1306-1312, 2011.
9 Piltan, F., et al., “Designing on-line Tunable Gain Fuzzy Sliding Mode Controller using Sliding Mode Fuzzy Algorithm: Applied to Internal Combustion Engine,” World Applied Sciences Journal, 14 (9): 1299-1305, 2011.
10 Lotfi A. Zadeh” Toward a theory of fuzzy information granulation and its centrality in human easoning and fuzzy logic” Fuzzy Sets and Systems 90 (1997) 111-127
 
 
 
 
 
 
 
 
Farzin Piltan : Colleagues
Mohammad Ali Dialame : Colleagues
Abbas Zare : Colleagues
Ali Badri : Colleagues  
 
 
 
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