Tuning of composite fuzzy logic guidance law using genetic algorithms

Abstract EN

The application of Fuzzy Logic (FL) for the deve lopment of guidance laws for homing missile is presented.

Fuzzy logic has been used to develop a Composite Fuzzy Guidance (CFG) law.

The objec tive of this proposed guidance law is to c ombine desirable features of PN and APN homing guidance laws to enhanc e the interc eption of targets performing uncertain maneuvers without reaching the missile to saturation limit.

During this work, it be came apparent that the fuzzy c ontroller of the CFG law can be furthe r tuned to enhance its performanc e.

Genetic Algorithms (GAs) which are inspired by natural genetic s are one of the algorithms that can be used to tune the parameters of fuzzy controllers due to the promising results that they introduce d in the field of optimization.

This paper introduces the integration of GAs and FL with a main emphasis on tuning the membership func tion parameters of fuzzy logic controller of the proposed CFG law using Ge netic Algorithms (GAs) with the view to improve its performance .

The simulation has bee n 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.