A Novel Optimal Robust Guidance Law Design Based on Extended Kalman Filter

In this paper a novel optimal and robust guidance law for three dimensional missile-target system is proposed based on the extended kalman filter. New guidance law consists of sliding mode and backstepping guidance laws. In this guidance law there are some coefficients that must be adjusted. These coefficients are adjusted using Genetic Algorithm (GA). Also system states are estimated by using of Continues Extended Kalman Filter (CEKF). Finally, proposed guidance law is compared with Augmented Proportional Navigation Guidance (APNG) law. Simulation results show that proposed guidance law is better than APNG law.