Abstract
The most important feature of radar on missile is target tracking. However, due to the radar's type of belt drive, there is a vibration resistance problem that brings too large radar system error in vibration condition between arc tooth structure. The purpose of this paper is to achieve the reduction of radar system error by using intelligent algorithms to adjust parameters of radar control system and looking for the optimum combination of parameters. In this study, based on the existing missile's radar control system model, we set up six performance indicators to evaluate radar system error. Therafter, the traditional Genetic Algorithm(GA), the Improved Genetic Algorithms(IGA), the Particle Swarm Optimization(PSO), the Particle Swarm Optimization — Improved Genetic Algorithm (PSO-IGA) were used for making the performance function minimum. The results show that it can effectively reduce radar system error by adjusting the parameters, and PSO-IGA overwhelms the others in terms of the quality of solutions and convergence rate.
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