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Design Optimization Based On Improved PSO Simplify Absorbing Material

Posted on:2014-02-09Degree:MasterType:Thesis
Country:ChinaCandidate:H T ZhouFull Text:PDF
GTID:2261330422967168Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
Particle swarm optimization (PSO) method is one kind of swarm intelligence optimization method. The method demonstrated in previous studies has shown the better effect of optimization, fast convergence. The application of the PSO method in electromagnetism calculation is worthy of study.In this paper, the following work has been done:(1) This paper concerns on the basic PSO method and the basic flow, analyzes the social behavior of the algorithm; and then introduces the standard PSO, parsing algorithm elements, the time complexity of the algorithm, and some typical improved PSO algorithm;(2) The effect of speed to the PSO algorithm is researched, and it is found that the PSO without speed is good. Some improved simplified particle swarm optimization methods are introduced. On the basis of simple particle swarm optimization method, an improved method is given. The simulations prove that the algorithm’s convergence speed and search accuracy is greatly improved relative to the original particle swarm optimization method and simplified particle swarm optimization methods.(3) The transmission line method to calculate the curve of the reflective properties of the absorbing materials described. Furthermore, the improved simple particle swarm optimization method is applied to the optimization of the design of multilayer absorbing materials. The experiments show that this improved algorithm is more effective than the original particle swarm optimization algorithm. The results obtained by the method are given.(4) The frequency selective surface and absorbing materials are studied by the HFSS. Three-layer absorbing materials are introduced to the HFSS, and some curves of the reflective properties are given. Moreover, the impact of circular patch unit in different locations to the curve of reflective properties of the absorbing materials is researched. Simultaneously, the impact of the different diameter circular patch unit in the same position to the absorption properties of absorbing material is researched. The improved simple particle swarm optimization method is used to the design of the FSS, changing the resonant frequency of the absorbing material. Some excellent results are gotten.
Keywords/Search Tags:Simple Particle Swarm optimization, Test, Radar Absorbing Materials, Frequency Selective Surface
PDF Full Text Request
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