Publication:
ROBOT TRAJECTORY TRACKING WITH ADAPTIVE RBFNN-BASED FUZZY SLIDING MODE CONTROL

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dc.contributor.authorAK, AYÇA
dc.contributor.authorsAk, Ayca Gokhan; Cansever, Galip; Delibasi, Akin
dc.date.accessioned2022-03-12T17:51:49Z
dc.date.available2022-03-12T17:51:49Z
dc.date.issued2011
dc.description.abstractDue to computational burden and dynamic uncertainty, the classical model-based control approaches are hard to be implemented in the multivariable robotic systems. In this paper, a model-free fuzzy sliding mode control based on neural network is proposed. In classical sliding mode controllers, system dynamics and system parameters are required to compute the equivalent control. In Radial Basis Function Neural Network (RBFNN) based fuzzy sliding mode control, a RBFNN is developed to mimic the equivalent control law in the Sliding Mode Control (SMC). The weights of the RBFNN are changed for the system state to hit the sliding surface and slide along it with an adaptive algorithm. The initial weights of the RBFNN are set to zero and then tuned online, no supervised learning procedures are needed. In the proposed method, by introducing the fuzzy concept to the sliding mode and fuzzifying the sliding surface, the chattering can be alleviated. The proposed method is implemented on industrial robot (Manutec-r15) and compared with a PID controller. Experimental studies carried out have shown that this approach is a good candidate for trajectory tracking applications of industrial robot.
dc.identifier.doi10.5755/j01.itc.40.2.430
dc.identifier.issn1392-124X
dc.identifier.urihttps://hdl.handle.net/11424/230337
dc.identifier.wosWOS:000292663000007
dc.language.isoeng
dc.publisherKAUNAS UNIV TECHNOLOGY
dc.relation.ispartofINFORMATION TECHNOLOGY AND CONTROL
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectneural network
dc.subjectfuzzy logic
dc.subjectsliding mode control
dc.subjectrobot control
dc.titleROBOT TRAJECTORY TRACKING WITH ADAPTIVE RBFNN-BASED FUZZY SLIDING MODE CONTROL
dc.typearticle
dspace.entity.typePublication
local.avesis.id7f8d5343-0f61-4aa2-8cb7-f8849a874db6
local.import.packageSS17
local.indexed.atWOS
local.indexed.atSCOPUS
local.journal.numberofpages6
oaire.citation.endPage156
oaire.citation.issue2
oaire.citation.startPage151
oaire.citation.titleINFORMATION TECHNOLOGY AND CONTROL
oaire.citation.volume40
relation.isAuthorOfPublicationcee864bd-f013-4f54-97a1-1a1d9b3455a0
relation.isAuthorOfPublication.latestForDiscoverycee864bd-f013-4f54-97a1-1a1d9b3455a0

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