Constrained self-tuning control of stochastic extremal systems

Article type: Research Article

Authors: Kaminskas, Vytautas | Šidlauskas, Kęstutis | Tallat-Kelpša, Česlovas

Affiliations: Scientific Research Centre “Informatika” of Vytautas Magnus University and Lithuanian Academy of Sciences, 233684 Kaunas, Metalo St.4, Lithuania

Abstract: Self-tuning control with recursive identification of extremal dynamic systems is considered. The systems can be represented by combinations of linear dynamic and extremal static parts, their output being disturbed by a coloured noise. Minimum-variance controllers for Hammerstein, Wiener, and Wiener-Hammerstein-type systems are designed taking into consideration restrictions for control signal magnitude and/or change rate. The estimates of unknown parameters in the controller equations are obtained in the identification process in the closed loop. The efficiency of self-tuning control algorithms is illustrated by statistical simulation. On the basis of worked out methods, adaptive systems for optimization of fuel combustion and steam condensation processes in thermal power units are developed.

Keywords: stochastic extremal systems, minimum-variance control, self-tuning control, recursive identification

DOI: 10.3233/INF-1991-2102

Journal: Informatica, vol. 2, no. 1, pp. 33-52, 1991