MISSILE GUIDANCE ALGORITHM DESIGN USING PARTICLE SWARM OPTIMIZATION

This paper presents a PSO guidance (PSOG) algorithm design for the pursuit-evasion optimization problem. The initialized particles are randomly et within the guidance command solution space and the relative distance is taken as the objective function. As the PSOG algorithm proceeds, the iteration will execute until the global optimum is reached. Two pursuit-evasion scenarios show that the PSOG algorithm has satisfied performance in execution time, terminal miss distance, time of interception, final stage turning rate and robust pursuit capability.