Model-Varying Predictive Control of a Nonlinear System

C. Pedret, A. Poncet, K. Stadler, A. Toller, A.H. Glattfelder, A. Bemporad, M. Morari

Abstract. Model Predictive Control (MPC) can be used for nonlinear systems if they are working around an operating point. If the operating point is moved away from the nominal working point the controller is less effective due to model mismatch. This situation can be tackled by using a Model-Varying Predictive Controller (MVPC), which changes its internal model, switching among a set of liner models, according to the working point.

Key words. Nonlinear systems, Steam turbine, Model Predictive Control, constrains.

Registration: PIRDI-1/00, January 2000.


Retrieve PostScript document (pirdi12.ps: 591872 bytes)
Retrieve PFD document (pirdi12.pdf: 519 Kbytes)
Copyright © 2000  by Computer Science Department. UAB