Title :
Robust control design via eigenstructure assignment, genetic algorithms and gradient-based optimisation
Author :
Patton, R.J. ; Liu, G.P.
Author_Institution :
Dept. of Electron., York Univ., UK
fDate :
5/1/1994 12:00:00 AM
Abstract :
The paper presents a new approach for robust control design of multivariable systems via eigenstructure assignment, genetic algorithms and gradient-based optimisation. It takes the combination of the sensitivity and the complementary sensitivity functions of the closed-loop system as the robust control performance index. The gradient calculation of the performance index is described in detail for the closed-loop system with real and complex eigenvalues. The paper makes full use of the freedom provided by eigenstructure assignment to find a controller which stabilises the closed-loop system and minimises the performance index via the combination of genetic algorithms and gradient-based optimisation. The simulation results for the design of a lateral flight control system provide a tutorial demonstration of the power of the method
Keywords :
aerospace control; control system synthesis; eigenvalues and eigenfunctions; feedback; genetic algorithms; multivariable control systems; optimisation; performance index; sensitivity analysis; stability; closed-loop system; complementary sensitivity functions; eigenstructure assignment; genetic algorithms; gradient-based optimisation; lateral flight control system; multivariable systems; robust control design; robust control performance index;
Journal_Title :
Control Theory and Applications, IEE Proceedings -
DOI :
10.1049/ip-cta:19941093