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dc.contributor.authorXu, Bowen
dc.contributor.authorLyu, You
dc.contributor.authorGadsden, Stephen Andrew
dc.date.accessioned2018-11-06T14:23:45Z
dc.date.available2018-11-06T14:23:45Z
dc.date.issuedMay-18
dc.identifierCSME177
dc.identifier.issn978-1-77355-023-7
dc.identifier.urihttp://hdl.handle.net/10315/35250
dc.identifier.urihttp://dx.doi.org/10.25071/10315/35250
dc.description.abstractThis paper studies estimation and control methods applied on a double-inverted pendulum. The most popular estimation strategy, referred to as the Kalman filter (KF), was programmed and implemented on a double-inverted pendulum built by Quanser (Markham, Ontario). A linear quadratic regulator (LQR) was used to control the actuator joints of the double-inverted pendulum to keep it vertically balanced under different conditions. The application of the KF improved the tracking performance. The results of the paper are discussed, and future work is considered.
dc.language.isoenen_US
dc.publisherCSME-SCGMen_US
dc.rightsThe copyright for the paper content remains with the author.
dc.subjectDouble inverted pendulum
dc.subjectControl system;
dc.subjectKalman filter
dc.subjectEstimation
dc.subjectMechatronicsen_US
dc.subjectRobots and Controlen_US
dc.titleEstimation And Control Of A Double-Inverted Pendulumen_US
dc.typeArticleen_US


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