Title :
Reduced-order H∞ controller synthesis using a real-coded genetic algorithm
Author :
Kaji, Bampei ; Chen, Gan ; Matsumoto, Keinosuke
Author_Institution :
Dept. of Comput. & Syst. Sci., Osaka Prefecture Univ., Japan
Abstract :
It is difficult to design a less conservative reduced-order H∞ controller presently. We propose a method of designing a less conservative reduced-order controller by using a genetic algorithm. Since it is difficult to search for a reduced-order controller directly, we search for the full-order controller whose reduced-order controller has the approximate performance of the H∞ optimal full-order controller by adopting controller parameterizations. Then, it is reduced by a certain reduction technique. We propose a coding that is to search only a set of all optimal full-order controllers, since the desired full-order controller is expected to be one of numerous optimal full-order controllers. In order to show the effectiveness of the proposed method, the numerical example is given.
Keywords :
H∞ control; control system synthesis; genetic algorithms; reduced order systems; controller parameterizations; real-coded genetic algorithm; reduced-order H∞ controller synthesis; reduction technique; Algorithm design and analysis; Centralized control; Control system synthesis; Control systems; Design methodology; Gallium nitride; Genetic algorithms; Linear matrix inequalities; Optimal control; Riccati equations;
Conference_Titel :
System Theory, 2004. Proceedings of the Thirty-Sixth Southeastern Symposium on
Print_ISBN :
0-7803-8281-1
DOI :
10.1109/SSST.2004.1295668