Title :
Controller reduction using genetic algorithm
Author :
Kamal, Hanan A. ; Abouelsoud, Ahmed A. ; Nadi, Essam
Author_Institution :
Fac. of Eng., Cairo Univ., Egypt
Abstract :
In this paper we introduce a classical method for controller reduction based on the optimal LQG-controller, and modify this method by using the genetic algorithm. The genetic algorithm is used to generate the optimum values of the weighting matrix R of the cost function to minimize the maximum real part of the closed-loop eigenvalues. The closed-loop system is built for both algorithms, and closed-loop, eigenvalues are calculated. Comparison between the two algorithms is discussed from the point of view of stability
Keywords :
closed loop systems; control system synthesis; genetic algorithms; linear quadratic Gaussian control; reduced order systems; CCA algorithm; closed-loop eigenvalues; controller reduction; cost function; genetic algorithm; maximum real part; optimal LQG-controller; stability; weighting matrix; Control systems; Cost function; Eigenvalues and eigenfunctions; Genetic algorithms; Noise measurement; Optimal control; Q measurement; Radio control; Riccati equations; Stability;
Conference_Titel :
Radio Science Conference, 2001. NRSC 2001. Proceedings of the Eighteenth National
Conference_Location :
Mansoura
Print_ISBN :
977-5031-68-0
DOI :
10.1109/NRSC.2001.929243
