The design of RF MEMS switch based on adaptive chaotic perturbation particle swarm optimization algorithm

In view of the complexity, relevance, and tedious design process in the traditional design of a radio frequency MEMS switch, a unique design idea, which adopts Adaptive Chaotic Perturbation Particle Swarm Optimization, is proposed. Subsequently, this improved algorithm is applied to research the electrical property of a high-frequency switch, which simplifies its design process. Finally, the optimized model of the high-frequency switch is used to verify the mechanical property by using ANSYS simulation software. The results indicate that the idea with ACPPSO is rational and shows high properties.

[1]  Gabriel M. Rebeiz,et al.  High-isolation CPW MEMS shunt switches. 1. Modeling , 2000 .

[2]  K. Petersen.  Micromechanical membrane switches on silicon , 1979 .

[3]  Wang Ya-jie.  Optimizing Machine Tool with PSO Arithmetic , 2007 .

[4]  赵亚溥.  Stiction and anti-stiction in MEMS and NEMS , 2003 .

[5]  Gabriel M. Rebeiz,et al.  High-isolation CPW MEMS shunt switches. 2. Design , 2000 .

[6]  Qinghai Bai,et al.  Analysis of Particle Swarm Optimization Algorithm , 2010, Comput. Inf. Sci..

[7]  J. Rose,et al.  Development of a MEMS microwave switch and application to adaptive integrated antennas , 2003, CCECE 2003 - Canadian Conference on Electrical and Computer Engineering. Toward a Caring and Humane Technology (Cat. No.03CH37436).

[8]  Songcheol Hong,et al.  A low voltage actuated micromachined microwave switch using torsion springs and leverage , 2000, 2000 IEEE MTT-S International Microwave Symposium Digest (Cat. No.00CH37017).

[9]  Leandro dos Santos Coelho,et al.  Particle swarm approaches using Lozi map chaotic sequences to fuzzy modelling of an experimental thermal-vacuum system , 2008, Appl. Soft Comput..

[10]  Gabriel M. Rebeiz,et al.  RF MEMS switches and switch circuits , 2001 .

[11]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.