Multiobjective design optimization of electrostatic rotary microactuators using evolutionary algorithms

  • Authors:

  • Paolo Di Barba;Sławomir Wiak

  • Affiliations:

  • Department of Electrical Engineering, University of Pavia, Pavia, Italy;Institute of Mechatronics and Information Systems, Technical University of Łódź, Łódź, Poland

  • Venue:
  • ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
  • Year:
  • 2006

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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.