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ASME Press Select Proceedings
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17
Editor
ISBN-10:
0791802655
No. of Pages:
650
Publisher:
ASME Press
Publication date:
2007
eBook Chapter
64 An Adaptive Fuzzy Control for a Multi-Degree-of-Freedom System
By
S. Ozcelik
,
S. Ozcelik
Department of Mechanical Engineering
Texas A&M University-Kingsville
Kingsville, TX
, USA
; [email protected]
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V. Kaleem
,
V. Kaleem
Department of Mechanical Engineering
Texas A&M University-Kingsville
Kingsville, TX
, USA
; [email protected]
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R. Challoo
R. Challoo
Department of Electrical Engineering
Texas A&M University-Kingsville
Kingsville, TX
, USA
; [email protected]
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Page Count:
6
-
Published:2007
Citation
Ozcelik, S, Kaleem, V, & Challoo, R. "An Adaptive Fuzzy Control for a Multi-Degree-of-Freedom System." Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17. Ed. Dagli, CH. ASME Press, 2007.
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This work presents a comparative study of the application of fuzzy and adaptive fuzzy controller to address the problem of position control of a 3 degrees-of-freedom, linear, single-input-single-output (SISO) mass-spring-damper system. Fuzzy logic being a complementary technology most often uses verbal and linguistic information from experts. Unlike regular fuzzy controllers, adaptive fuzzy controllers adapt itself to the desired output. This paper shows how adaptation brings about better control of the system output over regular control technique. The simulation results of Adaptive Fuzzy Controller and Fuzzy Controller applied to the system and their performances are compared.
Abstract
Introduction
Problem Statement
Design of a Direct Adaptive Fuzzy Controller
Simulation Results
Conclusions
References
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