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Multiobjective Design Optimization of Electrostatic Rotary Microactuators Using Evolutionary Algorithms

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Artificial Intelligence and Soft Computing – ICAISC 2006 (ICAISC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4029))

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Abstract

An example of soft computing applied to electrical engineering is presented and discussed. Attention is focused on the design techniques of MicroElectroMechanical Systems. In particular, the criterion of Pareto optimality is used to identify the optimal shape design of a rotary electrostatic microactuator. Accordingly, two algorithms of evolutionary optimization are presented and compared. The requirements in terms of know-how and computing facilities fit the resources of a research-and-development center of an industrial company.

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References

  1. Wiak, S., Smółka, K., Rudnicki, M.: Modelling and Optimisation of an Intelligent Electrostatic Comb Accelerometer. In: Wiak, S., Krawczyk, A., Trlep, M. (eds.) Computer Engineering in Applied Electromagnetism, pp. 99–104. Springer, Heidelberg (2005)

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, University of Pavia, via Ferrata 1, I-27100, Pavia, Italy

    Paolo Di Barba

  2. Institute of Mechatronics and Information Systems, Technical University of Łódź, ul. Stefanowskiego 18/22, 90-924, Łódź, Poland

    Sławomir Wiak

Authors
  1. Paolo Di Barba
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  2. Sławomir Wiak
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Department of Electrical Engineering and Computer Sciences, Berkeley Initiative in Soft Computing (BISC), University of California, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Żurada

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© 2006 Springer-Verlag Berlin Heidelberg

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Di Barba, P., Wiak, S. (2006). Multiobjective Design Optimization of Electrostatic Rotary Microactuators Using Evolutionary Algorithms. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2006. ICAISC 2006. Lecture Notes in Computer Science(), vol 4029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11785231_37

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  • DOI: https://doi.org/10.1007/11785231_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35748-3

  • Online ISBN: 978-3-540-35750-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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