Nonlinear model predictive control with moving horizon state and disturbance estimation - With application to MSW combustion
van Kessel, L.B.M.
van den Hof, P.M.J.
TNO Industrie en Techniek
This paper presents a nonlinear model predictive control (NMPC) strategy that can be used to tackle model predictive control problems that involve relatively simple nonlinear dynamic models, as for example obtained with first-principles modeling. The main feature of the proposed NMPC strategy is the usage of a moving horizon estimator (MHE) for the estimation of the states and disturbances (and, if desired, parameters). The closed-loop performance properties of the proposed NMPC strategy are demonstrated by applying it to a model of a municipal solid waste (MSW) combustion plant under a realistic disturbance realization. in addition, a comparison is made with extended Kalman filter (EKF) based NMPC. Copyright © 2005 IFAC.
Extended Kalman filter
To reference this document use:
Moving horizon estimation
Municipal solid waste combustion
Nonlinear model predictive control
16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005, 3 July 2005 through 8 July 2005, Prague, 16, 291-296
IFAC Proceedings Volumes (IFAC-PapersOnline)
Sponsors: 16th Triennial World Congress of International; Federation of Automatic Control, IFAC 2005