Dynamic Algorithm for Linear Quadratic Gaussian Predictive Control

• Autorzy: Ordys A. W. , Hangstrup M. E. , Grimble M. J.
• Języki publikacji: EN

Abstrakty

EN

In this paper, the optimal control law is derived for a multi-variable state-space Linear Quadratic Gaussian Predictive Controller (LQGPC). A dynamic performance index is utilized resulting in an optimal steady-state controller. Knowledge of future reference values is incorporated into the controller design and the solution is derived using the method of Lagrange multipliers. It is shown how the well-known GPC controller can be obtained as a special case of the LQGPC controller design. The important advantage of using the LQGPC framework for designing predictive controllers is that, based on stabilizing properties of LQG control, it enables a systematic approach to selection of the design parameters to yield a stable closed-loop system. The system model considered in this paper can be further extended toalso include direct feed-through and knowledge about future external inputs.

Słowa kluczowe

EN

state-space design; multivariable control; linear quadratic Gaussian predictive control; generalized predictive control

PL

przestrzeń fazowa; sterowanie wielowymiarowe; sterowanie predykcyjne

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2000
• Tom: Vol. 10, no 2
• Strony: 227--244
• Opis fizyczny: Bibliogr. 16 poz., wykr.

Twórcy

autor

Ordys A. W.

autor

Hangstrup M. E.

autor

Grimble M. J.

• Industrial Control Centre Department of Electronic and Electrical Engineering University of Strathclyde, Graham Hills Building 50 George Street, Glasgow G1 1QE, U.K.,