dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorJd. Universitário
dc.date.accessioned2014-05-27T11:24:51Z
dc.date.available2014-05-27T11:24:51Z
dc.date.created2014-05-27T11:24:51Z
dc.date.issued2010-12-01
dc.identifierLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 6097 LNAI, n. PART 2, p. 308-317, 2010.
dc.identifier0302-9743
dc.identifier1611-3349
dc.identifierhttp://hdl.handle.net/11449/71988
dc.identifier10.1007/978-3-642-13025-0_33
dc.identifierWOS:000281604400033
dc.identifier2-s2.0-79551562919
dc.identifier0140365057016044
dc.description.abstractThis paper analyzes the non-linear dynamics of a MEMS Gyroscope system, modeled with a proof mass constrained to move in a plane with two resonant modes, which are nominally orthogonal. The two modes are ideally coupled only by the rotation of the gyro about the plane's normal vector. We demonstrated that this model has an unstable behavior. Control problems consist of attempts to stabilize a system to an equilibrium point, a periodic orbit, or more general, about a given reference trajectory. We also developed a particle swarm optimization technique for reducing the oscillatory movement of the nonlinear system to a periodic orbit. © 2010 Springer-Verlag.
dc.languageeng
dc.relationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation0,295
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectEvolutionary Algorithms
dc.subjectMEMS Gyroscope
dc.subjectParticle Swarm Optimization
dc.subjectA-plane
dc.subjectControl design
dc.subjectControl problems
dc.subjectEquilibrium point
dc.subjectMEMS gyroscope
dc.subjectMicro-electro-mechanical
dc.subjectNon-linear dynamics
dc.subjectNormal vector
dc.subjectOscillatory movements
dc.subjectParticle swarm optimization technique
dc.subjectPeriodic orbits
dc.subjectProof mass
dc.subjectReference trajectories
dc.subjectResonant mode
dc.subjectUnstable behavior
dc.subjectAlgorithms
dc.subjectBehavioral research
dc.subjectGyroscopes
dc.subjectIndustrial engineering
dc.subjectIntelligent systems
dc.subjectTime varying systems
dc.subjectParticle swarm optimization (PSO)
dc.titleSwarm control designs applied to a micro-electro-mechanical gyroscope system (MEMS)
dc.typeActas de congresos


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