Self-Tuning Generalized Predictive Control With Input Constraints

• Autorzy: Królikowski A. , Jerzy D.
• Języki publikacji: EN

Abstrakty

EN

The handling of various input constraints in the self-tuning generalized predictive control (STGPC) problem of ARIMAX/ARMAX systems is considered. The methods based on the Lagrange multipliers and Lemke's algorithm are used to solve the constrained optimization problem. A self-tuning controller is implemented in an indirect way, and the considered constraints imposed on the control input signal are of the rate, amplitude and energy types. A comparative simulation study of self-tuning control system behaviour is given with respect to the design parameters and constraints. The stability of a closed-loop control system is analyzed and the computational loads of both the methods are compared.

Słowa kluczowe

EN

generalized predictive control; constraints; self-tuning; ARIMAX/ARMAX systems

PL

samostrojenie; sterowanie

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2001
• Tom: Vol. 11, no 2
• Strony: 459--479
• Opis fizyczny: Bibliogr. 10 poz., tab., wykr.

Twórcy

autor

Królikowski A.

autor

Jerzy D.

• Department of Control Robotics and Computer Science Poznan University of Technology ul. Piotrowo 3a, 60-965 Poznan, Poland,