Control of Hysteresis in Smart Actuators with Application to Micro-Positioning

dc.contributor.authorTan, Xiaoboen_US
dc.contributor.authorBaras, John S.en_US
dc.contributor.authorKrishnaprasad, Perinkulam S.en_US
dc.contributor.departmentISRen_US
dc.contributor.departmentCDCSSen_US
dc.date.accessioned2007-05-23T10:14:21Z
dc.date.available2007-05-23T10:14:21Z
dc.date.issued2003en_US
dc.description.abstractHysteresis in smart material actuators makes the effective use of these actuators quite challenging. The Preisach operator has been widely used to model smart material hysteresis. Motivated by positioning applications of smart actuators, this paper addresses the value inversion problem for a class of discretized Preisach operators, i.e., to find an optimal input trajectory given a desired output value. This problem is solved through optimal state transition of a finite state machine (FSM) that corresponds to the discretized Preisach operator. A state-space reduction scheme for the FSM is developed, which significantly saves the memory and the computation time. As an example, micro-positioning control of a magnetostrictive actuator is investigated. Experimental results are presented to demonstrate the effectiveness of the proposed approach.en_US
dc.format.extent343829 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/6388
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 2003-39en_US
dc.relation.ispartofseriesCDCSS; TR 2003-2en_US
dc.subjectSensor-Actuator Networksen_US
dc.titleControl of Hysteresis in Smart Actuators with Application to Micro-Positioningen_US
dc.typeTechnical Reporten_US

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