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Modelling of a Flexible Manoeuvring System Using ANFIS Techniques

Omar, Muneer, Bin Zaidan, Martha Arbayani and Tokhi, M.O. (2010) Modelling of a Flexible Manoeuvring System Using ANFIS Techniques. In: UKSim 12th International Conference on Computer Modelling and Simulation. UKSim2010, 24 March 2010 to 26 March 2010, Cambridge, United Kingdom. CPS & IEEE Computer Society , pp. 33-38.

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Abstract

The increased utilization of flexible structure systems, such as flexible manipulators and flexible aircraft in various applications, has been motivated by the requirements of industrial automation in recent years. Robust optimal control of flexible structures with active feedback techniques requires accurate models of the base structure, and knowledge of uncertainties of these models. Such information may not be easy to acquire for certain systems. An adaptive Neuro-Fuzzy inference Systems (ANFIS) use the learning ability of neural networks to adjust the membership function parameters in a fuzzy inference system. Hence, modelling using ANFIS is preferred in such applications. This paper discusses modelling of a nonlinear flexible system namely a twin rotor multi-input multi-output system using ANFIS techniques. Pitch and yaw motions are modelled and tested by model validation techniques. The obtained results indicate that ANFIS modelling is powerful to facilitate modelling of complex systems associated with nonlinearity and uncertainty.

Item Type: Proceedings Paper
Copyright, Publisher and Additional Information: © 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords: ANFIS; flexible systems; model validation
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Mr Martha Arbayani Bin Zaidan
Date Deposited: 06 Apr 2011 15:25
Last Modified: 08 Feb 2013 17:31
Published Version: http://dx.doi.org/10.1109/UKSIM.2010.15
Status: Published
Publisher: CPS & IEEE Computer Society
Refereed: Yes
Identification Number: 10.1109/UKSIM.2010.15
URI: http://eprints.whiterose.ac.uk/id/eprint/42914

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