Tuning of Composite Fuzzy Logic Guidance Law Using Genetic Algorithms

Abstract

The application of Fuzzy Logic (FL) for the development of guidance laws forhoming missile is presented. Fuzzy logic has been used to develop a CompositeFuzzy Guidance (CFG) law. The objective of this proposed guidance law is tocombine desirable features of PN and APN homing guidance laws to enhance theinterception of targets performing uncertain maneuvers without reaching the missileto saturation limit.During this work, it became apparent that the fuzzy controller of the CFG law canbe further tuned to enhance its performance. Genetic Algorithms (GAs) which areinspired by natural genetics are one of the algorithms that can be used to tune theparameters of fuzzy controllers due to the promising results that they introduced inthe field of optimization.This paper introduces the integration of GAs and FL with a main emphasis ontuning the membership function parameters of fuzzy logic controller of the proposedCFG 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 hasbeen used for plotting the results of simulations.