Intelligent Optimal Pulse-Jet Control for Dual-Spin Projectiles

For the lateral pulse-jet control problem of dual-spin projectiles, an intelligent optimal pulse-jet control strategy is proposed with 4-DOF impact point theory, BP neural network method and improved particle swarm optimization (IPSO) algorithm. The function of BP networks is designed to fit the control parameters and the impulse correction capability. And IPSO algorithm is utilized to deal with the optimization problem built by previous BP networks. Finally, numerical simulations are carried out to verify the effectiveness of the control system.