Trajectory tracking strategy for a nonlinear distributed parameter process

Author

Dufour, P. ; Courtial, E. ; Toure, Y. ; Laurent, P.

Author_Institution

Univ. of Orleans, Bourges, France

fYear

2001

fDate

4-7 Sept. 2001

Firstpage

1100

Lastpage

1105

Abstract

A trajectory tracking strategy is presented for processes described by a parabolic nonlinear distributed parameter model. A model-based predictive control approach, combined with an internal model control structure and a state estimation method is extended to this kind of process. On-line requirements such as computational time and constraint satisfaction are outlined and discussed. This method is then implemented for the control of a drying process and experimental results are discussed.

Keywords

constraint theory; distributed parameter systems; nonlinear control systems; state estimation; tracking; trajectory control; computational time; constraint satisfaction; drying process control; internal model control structure; model-based predictive control approach; nonlinear distributed parameter process; online requirements; parabolic nonlinear distributed parameter model; state estimation method; trajectory tracking strategy; Computational modeling; Humidity; Painting; Predictive models; Process control; Temperature measurement; Trajectory; Infinite Dimensional Systems; Predictive Control; Process Control; Trajectory Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ECC), 2001 European

Conference_Location

Porto

Print_ISBN

978-3-9524173-6-2

Type

conf

Filename

7076062