Designing 3D Optimal Hybrid Guidance Algorithm with Fuzzy Switch

In current research, a new optimal hybrid guidance law is developed based on classic guidance laws and fuzzy control approach. An optimized line of sight guidance law is designed for the midcourse phase. Proportional navigation method is also used for terminal phase. In order to smoothly switching between midcourse and terminal phases, an optimal fuzzy approach is developed. Two excising multi-objective heuristic optimization algorithms are evaluated for optimal fuzzy switch problem and the non-dominated sorting gravitational search algorithm is chosen due to its less computational run time. A data bank of optimal switching conditions in several flight scenarios is derived and based on these optimal points, the optimal switching plan is derived for all missions. Also, the practical zone is determined. The advantage of the proposed approach is that it has been derived in presence of vehicle full nonlinear dynamic model. Different scenarios simulation results revealed the desirable performance of the proposed approach.