Comparison of nonlinear predictive control methods for a waste-water treatment benchmark

Author

van der Veen, P.J. ; Babuska, R. ; Verbruggen, H.B.

Author_Institution

Control Eng. Lab., Delft Univ. of Technol., Delft, Netherlands

fYear

1999

fDate

Aug. 31 1999-Sept. 3 1999

Firstpage

4573

Lastpage

4577

Abstract

Three nonlinear predictive control algorithms were applied in simulation to a MIMO waste-water treatment process. Two algorithms are based on instantaneous linearization of the nonlinear prediction model and one is based on a branch-and-bound search technique. The prediction model employed is a fuzzy model of the Takagi-Sugeno type. The performance of the controllers is compared in terms of setpoint tracking, control effort and computational costs.

Keywords

MIMO systems; fuzzy control; industrial control; linearisation techniques; nonlinear control systems; predictive control; tree searching; wastewater treatment; MIMO wastewater treatment process; Takagi-Sugeno type; branch-and-bound search technique; fuzzy model; instantaneous linearization; nonlinear predictive control method; setpoint tracking; Aerospace electronics; Computational modeling; Mathematical model; Predictive control; Predictive models; Substrates; Nonlinear predictive control; branch-and-bound methods; fuzzy modeling; linearization; waste-water treatment;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ECC), 1999 European

Conference_Location

Karlsruhe

Print_ISBN

978-3-9524173-5-5

Type

conf

Filename

7100056