SUBOPTIMAL GUIDANCE FOR PASSIVE HOMING MISSILES WITH ANGLE-ONLY-MEASUREMENT

摘要

The optimal guidance law obtained from a nonlinear stochastic problem may have a dual-control effect. The guidance law with dual-control effect is addressed by a trade-off study by maintaining good guidance performance and small estimation errors. The direct stochastic optimization is solved by the co-evolutionary augmented Lagrangian method. Because the solution is an open-loop type for various engagement scenarios, a neural-network is implemented to derive a feedback guidance law. Simulation results show that the proposed guidance law is superior to the conventional proportional navigation.