Tuning of Composite Fuzzy Logic Guidance Law Using Genetic Algorithms

The application of Fuzzy Logic (FL) for the development of guidance laws for homing missile is presented. Fuzzy logic has been used to develop a Composite Fuzzy Guidance (CFG) law. The objective of this proposed guidance law is to combine desirable features of PN and APN homing guidance laws to enhance the interception of targets performing uncertain maneuvers without reaching the missile to saturation limit. During this work, it became apparent that the fuzzy controller of the CFG law can be further tuned to enhance its performance. Genetic Algorithms (GAs) which are inspired by natural genetics are one of the algorithms that can be used to tune the parameters of fuzzy controllers due to the promising results that they introduced in the field of optimization. This paper introduces the integration of GAs and FL with a main emphasis on tuning the membership function parameters of fuzzy logic controller of the proposed CFG law using Genetic Algorithms (GAs) with the view to improve its performance. The simulation has been performed using Borland C++ programming language (version 5.02) along with the Matlab programming package (version 7.0) that has been used for plotting the results of simulations

Development of an integrated fuzzy-logic-based missile guidance law against high speed target

How to develop a novel missile guidance law that can act effectively against very high speed incoming targets, such as ballistic missiles, has been a major concern in the defense technique. It has been unveiled recently in the literature that the most effective way for a lower speed interceptor to successfully engage an incoming target with very high speed is to limit the aspect angle between the missile and target flight path to within 180degrees plus or minus few degrees. On the basis of this requirement, a new integrated fuzzy guidance law is developed in this paper against very high-speed maneuverable targets on three-dimensional space. An integrated fuzzy type guidance law is explored for midcourse and terminal phases. It is shown that the integrated guidance scheme offers excellent tracking performance as well as performance sensitivity with respect to some parametric variations