关键词: 飞行器控制、导航技术, 空空导弹, 粒子群优化, 约束优化, 鲁棒性

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. Key

Key words: controlandnavigationtechnologyofaircraft, air-to-airmissile, particleswarmoptimization, constrainedoptimization, robustness