Competition of fuzzy logic controllers applied on flexible manipulator

This paper presents the performances of different type fuzzy logic controllers which are adaptive neural-network based fuzzy logic (ANNFL) controller, hierarchical adaptive neural-network based fuzzy logic (HANNFL) controller and adaptive neural-network based interval type2 fuzzy logic (ANNIT2FL) co...

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Bibliographic Details
Main Authors: Tinkir, M, Ö̈nen, U, Kalyoncu, M, Botsali, F M
Format: Conference Proceeding
Language:English
Subjects:
Adaptive neural-network
Adaptive systems
Artificial neural networks
flexible manipulator
Fuzzy logic
fuzzy logic controller
hierarchical
interval type2
Manipulator dynamics
Mathematical model
position and tip deflection control
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Summary:This paper presents the performances of different type fuzzy logic controllers which are adaptive neural-network based fuzzy logic (ANNFL) controller, hierarchical adaptive neural-network based fuzzy logic (HANNFL) controller and adaptive neural-network based interval type2 fuzzy logic (ANNIT2FL) controller. ANNFL, HANNFL and ANNIT2FL controllers are applied on flexible manipulator for both position and tip deflection control to learn which one satisfy us with it's performance according to desired goals. The performances of the proposed controllers are evaluated on the basis of the experimental results.
DOI:10.1109/ICCRD.2011.5763862