Title :
An evolutionary approach for robust layout synthesis of MEMS
Author :
Fan, Z. ; Wang, J. ; Goodman, E.
Author_Institution :
Tech. Univ. Denmark, Lyngby
Abstract :
The paper introduces a robust design method for layout synthesis of MEM resonators subject to inherent geometric uncertainties such as the fabrication error on the sidewall of the structure. The robust design problem is formulated as a multi-objective constrained optimisation problem after certain assumptions and treated with multiobjective genetic algorithm (MOGA), a special type of evolutionary computing approaches. Case study based on layout synthesis of a comb-driven MEM resonator shows that the approach proposed in this paper can lead to design results that meet the target performance and are less sensitive to geometric uncertainties than typical designs
Keywords :
design; genetic algorithms; micromechanical devices; resonators; MEM resonators; MEMS; evolutionary computation; geometric uncertainties; microelectromechanical systems; multi-objective constrained optimisation problem; multiobjective genetic algorithm; robust layout synthesis; Algorithm design and analysis; Constraint optimization; Design optimization; Fabrication; Genetic algorithms; Micromechanical devices; Optical resonators; Optical sensors; Robustness; Uncertainty;
Conference_Titel :
Advanced Intelligent Mechatronics. Proceedings, 2005 IEEE/ASME International Conference on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-9047-4
DOI :
10.1109/AIM.2005.1511171