Title :
Genetic algorithms for controller order reduction
Author :
Caponetto, R. ; Fortuna, L. ; Muscato, G. ; Xibilia, M.G.
Author_Institution :
Istituto di Elettrotecnica ed Elettronica, Catania Univ., Italy
Abstract :
In this paper genetic algorithms are applied as an optimization strategy in a controller order reduction procedure. GAs capability to get out local minima is used to determine a reduced-order controller which optimally approximate the full-order one. Particular attention has been devoted to guarantee a good stability margin and a suitable index is minimized, by using GAs, in order to compute the parameters of a reduced-order controller which guarantee the stability of the closed loop systems. An example taken from literature has been reported to confirm the suitability of the strategy
Keywords :
closed loop systems; control systems; genetic algorithms; optimisation; closed loop systems; controller order reduction; genetic algorithms; index; local minima; optimization strategy; reduced-order controller; stability; stability margin; Automatic control; Closed loop systems; Control systems; Genetic algorithms; Modems; Open loop systems; Optimal control; Reduced order systems; Robust control; Robust stability;
Conference_Titel :
Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1899-4
DOI :
10.1109/ICEC.1994.349967
