Nonlinear model predictive control for operational management of a canal system

Author

Arnold, E. ; Linke, H. ; Puta, H.

Author_Institution

Appi. Center for Syst. Technol., Fraunhofer IITB, Ilmenau, Germany

fYear

1999

fDate

Aug. 31 1999-Sept. 3 1999

Firstpage

4876

Lastpage

4880

Abstract

A nonlinear model predictive control algorithm is applied for operational water management of a navigation canal system. The operational water management task is to maintain navigable water levels with minimum electrical energy (pump) costs. Optimal pump and discharge strategies are calculated using a process model based on the Saint Venant equations for the canal sections and predictions of the non-controllable inputs. A sequential quadratic programming (SQP) method with an interior-point solver for the linear-quadratic subproblems is used for the numerical solution of the resulting large-scale nonlinear programming problem. The model predictive control algorithm is applied for operational water management of the canal system Mittellandkanal/Elbe-Seitenkanal in Germany.

Keywords

canals; geotechnical engineering; linear quadratic control; nonlinear control systems; predictive control; quadratic programming; structural engineering; Germany; SQP method; Saint Venant equation; discharge strategy; electrical energy cost; interior-point solver; large-scale nonlinear programming; linear-quadratic subproblem; navigation canal system; nonlinear model predictive control algorithm; operational water management; operational water management task; process model; pump strategy; sequential quadratic programming method; Irrigation; Mathematical model; Optimal control; Prediction algorithms; Predictive control; Programming; Saint Venant equations; canal system; nonlinear model predictive control; optimal control; water management;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ECC), 1999 European

Conference_Location

Karlsruhe

Print_ISBN

978-3-9524173-5-5

Type

conf

Filename

7100108