Title :
Genetic algorithms for synthesis of mixed H2/H∞ fixed-structure controllers
Author_Institution :
Lehrstuhl fuer Systemtheorie der Elektrotech., Saarlandes Univ., Saarbrucken, Germany
Abstract :
A new method for synthesis of mixed H2/H∞ controllers is presented in this paper. The problem is formulated as the minimization of a nominal H2 performance index subject to a H∞ robust stability constraint. The novel method based on two real-coded genetic algorithms (GA) with appropriate operators and a penalty function is proposed for the solution of the optimization problem. Simulation results are given to illustrate the new approach, and to show the validity of the proposed synthesis method
Keywords :
H∞ control; control system synthesis; genetic algorithms; minimisation; performance index; robust control; GA; H∞ robust stability constraint; H2 performance index; genetic algorithms; minimization; mixed H2/H∞ fixed-structure controller synthesis; penalty function; Control system synthesis; Design methodology; Genetic algorithms; Minimization methods; Optimal control; Performance analysis; Robust control; Robust stability; Three-term control; Transfer functions;
Conference_Titel :
Intelligent Control (ISIC), 1998. Held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), Intelligent Systems and Semiotics (ISAS), Proceedings
Conference_Location :
Gaithersburg, MD
Print_ISBN :
0-7803-4423-5
DOI :
10.1109/ISIC.1998.713631
