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Hybrid reentry guidance based on reference-trajectory and predictor-corrector

According to the shortcoming of the conventional guidance, a hybrid reentry guidance algorithm based on the reference-trajectory and the predictor-corrector is presented for the reentry vehicles. The guidance system is separately designed in the longitudinal plane and the lateral plane. Two kinds of the longitudinal guidance laws are studied: one guidance law via the linear quadratic regulator (LQR) and another via the fuzzy logic. A switch law between the two different guidance laws is designed based on the trajectory feature points. To test the capacity of the hybrid guidance method, the Monte Carlo simulations are taken. The proposed hybrid guidance method and the two conventional methods are simulated and compared. The result indicates that the hybrid reentry guidance law has less computing time, high guidance precision, and good robustness.