Performance measures in the genetic design of digital model-following flight-control systems

Author

Porter, B. ; Hicks, D.L.

Author_Institution

Dept. of Aeronaut. & Mech. Eng., Salford Univ., UK

fYear

1994

fDate

23-27 May 1994

Firstpage

564

Abstract

Genetic algorithms can be used to provide a convenient means of tuning the digital PID controllers incorporated in a class of digital model-following systems. However, in the genetic tuning of such PID controllers, various performance measures are available to the designer (such as the difference between non-asymptotically optimal and asymptotically optimal eigenvalue locations, and the maximum multivariable generalised tracking error). In this paper, a detailed comparison is made of the genetic design procedure when these two performance measures are minimised in the design of digital model-following flight-control systems for the F-16 aircraft. It is shown that both performance measures constitute equally powerful tools for the solution of complex problems in the design of flight-control systems

Keywords

aircraft control; control system synthesis; digital control; genetic algorithms; minimisation; multivariable control systems; three-term control; tuning; F-16 aircraft; asymptotically optimal eigenvalue locations; comparison; digital PID controllers; digital model-following flight-control; genetic design; genetic tuning; high fidelity noninteracting multivariable behavior; maximum multivariable generalised tracking error; minimisation; nonasymptotically optimal solution; performance measures; Aircraft; Digital control; Eigenvalues and eigenfunctions; Equations; Error correction; Genetic algorithms; Optimal control; Sampling methods; Three-term control; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1994. NAECON 1994., Proceedings of the IEEE 1994 National

Conference_Location

Dayton, OH

Print_ISBN

0-7803-1893-5

Type

conf

DOI

10.1109/NAECON.1994.332855

Filename

332855