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