Swarm control designs applied to a micro-electro-mechanical gyroscope system (MEMS)


Autoria(s): Chavarette, Fábio Roberto; Balthazar, José Manoel; Guilherme, Ivan Rizzo; Saraiva Do Nascimento Jr., Orlando
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

27/05/2014

27/05/2014

01/12/2010

Resumo

This 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.

Formato

308-317

Identificador

http://dx.doi.org/10.1007/978-3-642-13025-0_33

Lecture 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.

0302-9743

1611-3349

http://hdl.handle.net/11449/71988

10.1007/978-3-642-13025-0_33

WOS:000281604400033

2-s2.0-79551562919

Idioma(s)

eng

Relação

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Direitos

closedAccess

Palavras-Chave #Evolutionary Algorithms #MEMS Gyroscope #Particle Swarm Optimization #A-plane #Control design #Control problems #Equilibrium point #MEMS gyroscope #Micro-electro-mechanical #Non-linear dynamics #Normal vector #Oscillatory movements #Particle swarm optimization technique #Periodic orbits #Proof mass #Reference trajectories #Resonant mode #Unstable behavior #Algorithms #Behavioral research #Gyroscopes #Industrial engineering #Intelligent systems #Time varying systems #Particle swarm optimization (PSO)
Tipo

info:eu-repo/semantics/conferencePaper