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

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Trends in Applied Intelligent Systems (IEA/AIE 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6097))

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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.

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Author information

Authors and Affiliations

  1. Faculty of Engineering, UNESP – Univ Estadual Paulista, DM, Avenida Brasil, 56, 15385-000, Ilha Solteira, SP, Brazil

    Fábio Roberto Chavarette

  2. Geoscience and Exact Science Institute, UNESP – Univ Estadual Paulista, DEMAC, PO BOX 178, 13500-230, Rio Claro, SP, Brazil

    José Manoel Balthazar & Ivan Rizzo Guilherme

  3. Engineering Center, Av., Dr. Maximiliano Baruto, Ometto Herminio University Center at Araras – UNIARARAS, 500, Jd. Universitário, 13607-339, Araras, SP, Brazil

    Fábio Roberto Chavarette & Orlando Saraiva do Nascimento Jr.

Authors
  1. Fábio Roberto Chavarette
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  2. José Manoel Balthazar
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  3. Ivan Rizzo Guilherme
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  4. Orlando Saraiva do Nascimento Jr.
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Editor information

Editors and Affiliations

  1. Dept. of Computing and Numerical Analysis, University of Cordoba, Campus Universitario de Rabanales, Einstein Building, 3rd floor,, 14071, Cordoba, Spain

    Nicolás García-Pedrajas

  2. Dept. of Computer Science and Artificial Intelligence, ETS de Ingenierias Informática y de Telecomunicación, University of Granada, 18071, Granada, Spain

    Francisco Herrera

  3. School of Computing, University of the West of Scotland, PA1 2BE, Paisley, UK

    Colin Fyfe

  4. Dept. Computer Science and Artificial Intelligence, ETS de Ingenierias Informática y de Telecomunicación, University of Granada, 18071, Granada, Spain

    José Manuel Benítez

  5. Department of Computer Science, Texas State University-San Marcos, 601 University Drive, TX 78666-4616, San Marcos, USA

    Moonis Ali

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© 2010 Springer-Verlag Berlin Heidelberg

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Chavarette, F.R., Balthazar, J.M., Guilherme, I.R., Saraiva do Nascimento, O. (2010). Swarm Control Designs Applied to a Micro-Electro-Mechanical Gyroscope System (MEMS). In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds) Trends in Applied Intelligent Systems. IEA/AIE 2010. Lecture Notes in Computer Science(), vol 6097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13025-0_33

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  • DOI: https://doi.org/10.1007/978-3-642-13025-0_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13024-3

  • Online ISBN: 978-3-642-13025-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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