Multi-objective evolutionary design of fuzzy autopilot controller

Abstract

A multi-objective evolutionary algorithm is used to deter- mine the membership function distribution within the outer loop control system of a non-linear missile autopilot using lateral acceleration con- trol. This produces a design that meets objectives related to closed loop performance such as: steady state error, overshoot, settling and rising time. The evolutionary algorithm uses non-dominated sorting for form- ing a Pareto front of possible solutions. This paper shows that fuzzy controllers can be produced for engineering problems, with the multi- objective algorithm allowing the designer the freedom to choose solutions and investigate the properties of very complex systems. © Springer-Verlag Berlin Heidelberg 2001.