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.
Other Authors: 56272534200
Format: Article
Published: Inderscience Publishers 2023
Subjects:
LOM
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spelling my.uniten.dspace-305612023-12-29T15:49:29Z 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. 56272534200 25824750400 38362671100 25825455100 38361890100 Bang-bang control Fuzzy controller Gradient-based optimisation Largest of maxima LOM Self-tuning Attitude control Bang bang control systems Decision making Fuzzy logic Gradient methods Optimization Sliding mode control Bang-Bang control Fuzzy controllers Largest of maxima Optimisations Selftuning Controllers 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. Final 2023-12-29T07:49:29Z 2023-12-29T07:49:29Z 2011 Article 10.1504/IJAAC.2011.040136 2-s2.0-79957523585 https://www.scopus.com/inward/record.uri?eid=2-s2.0-79957523585&doi=10.1504%2fIJAAC.2011.040136&partnerID=40&md5=9ce9f34b9d3bdd6970c4cbbd61387312 https://irepository.uniten.edu.my/handle/123456789/30561 5 2 97 118 Inderscience Publishers Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Bang-bang control
Fuzzy controller
Gradient-based optimisation
Largest of maxima
LOM
Self-tuning
Attitude control
Bang bang control systems
Decision making
Fuzzy logic
Gradient methods
Optimization
Sliding mode control
Bang-Bang control
Fuzzy controllers
Largest of maxima
Optimisations
Selftuning
Controllers
spellingShingle Bang-bang control
Fuzzy controller
Gradient-based optimisation
Largest of maxima
LOM
Self-tuning
Attitude control
Bang bang control systems
Decision making
Fuzzy logic
Gradient methods
Optimization
Sliding mode control
Bang-Bang control
Fuzzy controllers
Largest of maxima
Optimisations
Selftuning
Controllers
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
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.
author2 56272534200
author_facet 56272534200
Nagi F.
Bin Zainul Abidin A.A.
Zulkarnain A.T.
Nagi J.
Marwan A.
format Article
author 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
publisher Inderscience Publishers
publishDate 2023
_version_ 1806423229206626304
score 13.222552