Design of new predictive guidance algorithm via fuzzy techniques

New predictive guidance (NPG) algorithm is proposed and the fuzzy techniques are adopted to improve the real-time capability of the predictive guidance. The simplified kinematical and dynamical equations of model for the entry vehicle are established. The nominal bank angel profile is established beforehand to implement numerical prediction. The predictive errors are used as input of fuzzy logic controller which is designed for generation of correct commands. The fuzzy logic controller avoids massive iterations of conventional predictive guidance (CPG) algorithm and improves the real-time capability. Numerical simulations for the proposed algorithm under the condition of perturbations are presented to demonstrate the capability and effectiveness.