dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T17:25:00Z
dc.date.available2018-12-11T17:25:00Z
dc.date.created2018-12-11T17:25:00Z
dc.date.issued2015-01-01
dc.identifierInternational Journal of Pure and Applied Mathematics, v. 101, n. 2, p. 289-300, 2015.
dc.identifier1314-3395
dc.identifier1311-8080
dc.identifierhttp://hdl.handle.net/11449/177336
dc.identifier10.12732/ijpam.v101i2.13
dc.identifier2-s2.0-84927948592
dc.description.abstractSeveral experimental maglev systems all around the world, mainly in Germany and Japan have demonstrated that this mode of transportation can profitably compete with air travel. However, a system such as the German maglev train (called Transrapid) is inherently unstable. This instability is because the electromagnetic suspension (EMS) uses attractive force to levitate the train. So, the electromagnets of the vehicle must be actively controlled to make safe operation. Herewith, from a simplified model for the German Transrapid experimental system, we propose two control designs and, then we compare them. The linear quadratic regulator (LQR) is used to design the linear controller and the state-dependent Riccati equation (SDRE) is used to design the nonlinear controller. The simulation shows that the SDRE controller allows the maglev train to operate with much larger disturbances in the air gap than the LQR controller does.
dc.languageeng
dc.relationInternational Journal of Pure and Applied Mathematics
dc.relation0,139
dc.rightsAcesso restrito
dc.sourceScopus
dc.subjectComputer simulation
dc.subjectDynamics systems
dc.subjectMaglev system
dc.subjectMathematical model
dc.subjectOptimal control
dc.titleDynamics and control design via LQR and SDRE methods for a maglev system
dc.typeArtículos de revistas


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