The common attribute in horizon-predictive control is the use of a dynamic model of the process and optimization to plan a sequence of future control actions to best make the model match a desired future path, while avoiding constraints. This paper describes a structure to use first-principles process models in horizon-predictive control, which contrasts the conventional use of linear empirical models derived from step-testing the process.
Nonlinear Model-Predictive Control Using First-Principles Models
Lect. Notes Electrical Eng.
12.03.2023
22 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch