Design of robust fuzzy controllers for aerospace applications

Author

Blumel, Anna L. ; Hughes, Evan J. ; White, Brian A.

Author_Institution

Dept. of Aerosp., Power & Sensors, Cranfield Univ., Shrivenham, UK

fYear

1999

fDate

36342

Firstpage

438

Lastpage

442

Abstract

The paper details a Fuzzy-Feedback Linearisation controller applied to a non-linear missile. The design uses an evolutionary algorithm optimisation approach to a multiple model description of the airframe aerodynamics. A set of convex models is produced that map the vertex points in a high order parameter space (of the order of 16 variables). These are used to determine the membership function distribution within the outer loop control system by using a multi-objective evolutionary algorithm. This produces a design that meets objectives related to closed loop performance such as: rising time, steady state error and overshoot

Keywords

aerodynamics; closed loop systems; evolutionary computation; fuzzy control; fuzzy set theory; linearisation techniques; missile control; Fuzzy-Feedback Linearisation controller; aerospace applications; airframe aerodynamics; closed loop performance; convex models; evolutionary algorithm optimisation approach; high order parameter space; membership function distribution; multi-objective evolutionary algorithm; multiple model description; non-linear missile; outer loop control system; overshoot; robust fuzzy controller design; steady state error; vertex points; Aerodynamics; Aerospace control; Algorithm design and analysis; Control systems; Design optimization; Evolutionary computation; Fuzzy control; Missiles; Robust control; Steady-state;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American

Conference_Location

New York, NY

Print_ISBN

0-7803-5211-4

Type

conf

DOI

10.1109/NAFIPS.1999.781731

Filename

781731