Tuning of a new fuzzy bang-bang relay controller for attitude control system

A new fuzzy bang-bang relay controller (FBBRC) is introduced in this paper. The new controller is inherently optimal due to its bang-bang property. The controller has fuzzy decision-making capability in its inputs and have two fixed levels bang-bang output. Consequently, the tuning of FBBRC is restr...

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Main Authors:	Nagi, F., Bin Zainul Abidin, A.A., Zulkarnain, A.T., Nagi, J., Marwan, A.
Published:	2018
Online Access:	http://dspace.uniten.edu.my/jspui/handle/123456789/9177

id	uniten-123456789-9177
recordtype	eprints
spelling	uniten-123456789-91772018-04-28T16:41:56Z Tuning of a new fuzzy bang-bang relay controller for attitude control system Nagi, F. Bin Zainul Abidin, A.A. Zulkarnain, A.T. Nagi, J. Marwan, A. A new fuzzy bang-bang relay controller (FBBRC) is introduced in this paper. The new controller is inherently optimal due to its bang-bang property. The controller has fuzzy decision-making capability in its inputs and have two fixed levels bang-bang output. Consequently, the tuning of FBBRC is restricted to input parameters only in comparison to standard fuzzy logic controller (FLC) where the output parameters can also be tuned. The stability of new controller stems from well-established bang-bang sliding mode control theory. The work presented here demonstrates that tuning the inputs of the proposed FBBRC is more effective and simpler than tuning all the parameters of standard FLC. The two controllers are tuned online with gradient descent optimisation method and tested for regulator and tracking mode control. Simulation result shows that new controller has faster response time and is capable of controlling the system under adverse initial conditions. Copyright © 2011 Inderscience Enterprises Ltd. 2018-02-21T07:10:31Z 2018-02-21T07:10:31Z 2011 http://dspace.uniten.edu.my/jspui/handle/123456789/9177
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Tenaga Nasional
building	UNITEN Institutional Repository
collection	Online Access
description	A new fuzzy bang-bang relay controller (FBBRC) is introduced in this paper. The new controller is inherently optimal due to its bang-bang property. The controller has fuzzy decision-making capability in its inputs and have two fixed levels bang-bang output. Consequently, the tuning of FBBRC is restricted to input parameters only in comparison to standard fuzzy logic controller (FLC) where the output parameters can also be tuned. The stability of new controller stems from well-established bang-bang sliding mode control theory. The work presented here demonstrates that tuning the inputs of the proposed FBBRC is more effective and simpler than tuning all the parameters of standard FLC. The two controllers are tuned online with gradient descent optimisation method and tested for regulator and tracking mode control. Simulation result shows that new controller has faster response time and is capable of controlling the system under adverse initial conditions. Copyright © 2011 Inderscience Enterprises Ltd.
author	Nagi, F. Bin Zainul Abidin, A.A. Zulkarnain, A.T. Nagi, J. Marwan, A.
spellingShingle	Nagi, F. Bin Zainul Abidin, A.A. Zulkarnain, A.T. Nagi, J. Marwan, A. Tuning of a new fuzzy bang-bang relay controller for attitude control system
author_facet	Nagi, F. Bin Zainul Abidin, A.A. Zulkarnain, A.T. Nagi, J. Marwan, A.
author_sort	Nagi, F.
title	Tuning of a new fuzzy bang-bang relay controller for attitude control system
title_short	Tuning of a new fuzzy bang-bang relay controller for attitude control system
title_full	Tuning of a new fuzzy bang-bang relay controller for attitude control system
title_fullStr	Tuning of a new fuzzy bang-bang relay controller for attitude control system
title_full_unstemmed	Tuning of a new fuzzy bang-bang relay controller for attitude control system
title_sort	tuning of a new fuzzy bang-bang relay controller for attitude control system
publishDate	2018
url	http://dspace.uniten.edu.my/jspui/handle/123456789/9177
first_indexed	2018-09-05T08:10:16Z
last_indexed	2018-09-05T08:10:16Z
_version_	1610754311516585984

Tuning of a new fuzzy bang-bang relay controller for attitude control system

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