No abstract

An Optimal fuzzy logic guidance (OFLG) law for a surface to air homing missile is introduced. The introduced approach is based on the well-known proportional navigation guidance (PNG) law. Particle Swarm Optimization (PSO) is used to optimize the of the membership functions' (MFs) parameters of the proposed design. The distribution of the MFs is obtained by minimizing a nonlinear constrained multiobjective optimization problem where; control effort and miss distance are treated as competing objectives. The performance of the introduced guidance law is compared with classical fuzzy logic guidance (FLG) law as well as PNG one. The simulation results show that OFLG performs better than other guidance laws. Moreover, the introduced design is shown to perform well with the existence of noisy measurements.

New Optimal Fuzzy Logic Guidance (NOFLG) law for the class of surface to air homing missile is proposed. The introduced approach is a modification of Optimal Fuzzy Logic Guidance (OFLG) law. Time Variant Particle Swarm Optimization (TVPSO) is used to optimize both Membership Functions (MFs) and rules' weights of the proposed design. The performance of the new guidance law is compared with that of OFLG one. Different case-studies show that the current approach provides better performance in regard to; miss distance, flight time and control effort.