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

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dc.citedby4
dc.contributor.authorNagi F.en_US
dc.contributor.authorBin Zainul Abidin A.A.en_US
dc.contributor.authorZulkarnain A.T.en_US
dc.contributor.authorNagi J.en_US
dc.contributor.authorMarwan A.en_US
dc.contributor.authorid56272534200en_US
dc.contributor.authorid25824750400en_US
dc.contributor.authorid38362671100en_US
dc.contributor.authorid25825455100en_US
dc.contributor.authorid38361890100en_US
dc.date.accessioned2023-12-29T07:49:29Z
dc.date.available2023-12-29T07:49:29Z
dc.date.issued2011
dc.description.abstractA 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1504/IJAAC.2011.040136
dc.identifier.epage118
dc.identifier.issue2
dc.identifier.scopus2-s2.0-79957523585
dc.identifier.spage97
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-79957523585&doi=10.1504%2fIJAAC.2011.040136&partnerID=40&md5=9ce9f34b9d3bdd6970c4cbbd61387312
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30561
dc.identifier.volume5
dc.pagecount21
dc.publisherInderscience Publishersen_US
dc.sourceScopus
dc.sourcetitleInternational Journal of Automation and Control
dc.subjectBang-bang control
dc.subjectFuzzy controller
dc.subjectGradient-based optimisation
dc.subjectLargest of maxima
dc.subjectLOM
dc.subjectSelf-tuning
dc.subjectAttitude control
dc.subjectBang bang control systems
dc.subjectDecision making
dc.subjectFuzzy logic
dc.subjectGradient methods
dc.subjectOptimization
dc.subjectSliding mode control
dc.subjectBang-Bang control
dc.subjectFuzzy controllers
dc.subjectLargest of maxima
dc.subjectOptimisations
dc.subjectSelftuning
dc.subjectControllers
dc.titleTuning of a new fuzzy bang-bang relay controller for attitude control systemen_US
dc.typeArticleen_US
dspace.entity.typePublication
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