Fuzzy Logic Guidance Law with Optimized Membership Functions

Abstract

Fuzzy guidance law is the fuzzy logic implementation of well known proportional navigation (PN) guidance law. The fuzzy logic controller is used to get the performance of PN guidance with respect to missile acceleration. Fuzzy logic controller (FLC) is generally built by designers with trial and error and based on their experience or some experiments. This paper introduces a Genetic Algorithm (GA) based method to tune the membership functions of the FLC spontaneously. With the specific structure of the chromosome, the special mutation operation and the adequate fitness function, the proposed method with GA produces a membership functions to optimize the missile acceleration and gains the performance with proper tuning. A fuzzy logic controller is knowledge based controller which alters the value of the effective navigation constant to reap the maximum benefits in terms of missile performance.