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dc.contributor.authorTarapong Karnjanaparichaten_US
dc.contributor.authorRadom Pongvuthithumen_US
dc.date.accessioned2018-09-05T03:34:19Z-
dc.date.available2018-09-05T03:34:19Z-
dc.date.issued2017-11-01en_US
dc.identifier.issn14698668en_US
dc.identifier.issn02635747en_US
dc.identifier.other2-s2.0-84992365934en_US
dc.identifier.other10.1017/S0263574716000758en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84992365934&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/57045-
dc.description.abstract© Copyright Cambridge University Press 2016. In this paper, we study the problem of adaptive position tracking for a multi-link robot driven by two opposing pneumatic muscle groups with additive disturbances. In contrast to widely used sliding mode control methods, the proposed controller is continuous and able to prevent chattering. All physical parameters of the robot and the pneumatic muscles, including pneumatic muscle coefficients, link lengths and moments of inertia are unknown and can be time-varying and the unknown additive disturbances can be discontinuous. Under these conditions, we prove that closed-loop trajectories of all of the joint positions can track any C1joint reference signal. The joint errors will be within a prescribed error bound in a finite time. The adaptive controller only uses the reference signal, not its derivative. The continuous adaptive gain is one-dimensional. Simulations including a two-link robot arm with friction and realistic muscle models are presented to demonstrate the robustness of the adaptive control under severe changes of the system parameters. In all simulations, the joint positions can track C1trajectories and all errors are within the prescribed error bound in the same time frame, even though the muscle parameters are vastly different.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.subjectMathematicsen_US
dc.titleAdaptive tracking control of multi-link robots actuated by pneumatic muscles with additive disturbancesen_US
dc.typeJournalen_US
article.title.sourcetitleRoboticaen_US
article.volume35en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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