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Affiliation of Author(s):自动化学院

Journal:Binggong Xuebao

Abstract:The existing constrained particle swarm optimization(PSO) algorithms have the disadvantages of algorithm complexity, limited application and poor optimization. A kind of novel constrained particle swarm optimization algorithm is proposed. The proposed algorithm converts a constrained optimization problem into an unconstrained one using the method of objective function substitution method. It is tested with the typical test functions. The algorithm shows its superiority in handling the constrained conditions clearly compared with other constrained PSO algorithms. In order to verify the feasibility of the proposed constrained PSO algorithm applying in the engineering, the proposed algorithm is used to design a μ-PID fixed-structure robust controller by taking a sample missile longitudinal model for the classical Raytheon control structure. The simulated results indicate that the sample missile controller can not only satisfy a variety of time domain indexes but also have strong robustness, and the proposed algorithm is effective. © 2017, Editorial Board of Acta Armamentarii. All right reserved.

ISSN No.:1000-1093

Translation or Not:no

Date of Publication:2017-01-01

Co-author:lichenliang,Chen Xin

Correspondence Author:Zhang Min