Novel Particle Swarm Optimization Guidance for Hypersonic Target Interception with Impact Angle Constraint

Novel Particle Swarm Optimization Guidance for Hypersonic Target Interception with Impact Angle Constraint

Blog Article

Considering that the terminal impact angle constraint can improve the interception performance of hypersonic target, a novel particle swarm optimization guidance (NPSOG) algorithm is proposed to satisfy the impact angle constraint.Two-dimensional dynamics engagement mode for hypersonic target interception is formulated.The performance index is positively correlated with the line-of-sight (LOS), LOS Impact of environmental changes on the behavioral diversity of the Odonata (Insecta) in the Amazon rate, and the relative distance between missile and target.The weight coefficients among the three are adaptively adjusted by the fuzzy logic controller.The particle swarm optimization (PSO) algorithm is utilized to generate the guidance commands.

Numerical examples are given to verify the performance Using Baidu index to nowcast hand-foot-mouth disease in China: a meta learning approach of the proposed guidance law in various engagement scenarios, and the performance of the algorithm is validated comparing with several heuristic guidance methods and nonheuristic guidance methods.