Chapter

Trends in Applied Intelligent Systems

Volume 6097 of the series Lecture Notes in Computer Science pp 308-317

Swarm Control Designs Applied to a Micro-Electro-Mechanical Gyroscope System (MEMS)

  • Fábio Roberto ChavaretteAffiliated withFaculty of Engineering, UNESP – Univ Estadual PaulistaEngineering Center, Av., Dr. Maximiliano Baruto, Ometto Herminio University Center at Araras – UNIARARAS
  • , José Manoel BalthazarAffiliated withGeoscience and Exact Science Institute, UNESP – Univ Estadual Paulista, DEMAC
  • , Ivan Rizzo GuilhermeAffiliated withGeoscience and Exact Science Institute, UNESP – Univ Estadual Paulista, DEMAC
  • , Orlando Saraiva do NascimentoJr.Affiliated withEngineering Center, Av., Dr. Maximiliano Baruto, Ometto Herminio University Center at Araras – UNIARARAS

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Abstract

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.

Keywords

Particle Swarm Optimization MEMS Gyroscope Evolutionary Algorithms