Design and implementation of wiener nonlinear model predictive control for pressure control loop

Author

Angwattanapanich, Tat ; Banjerdpongchai, David

Author_Institution

Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok, Thailand

fYear

2014

fDate

9-12 Sept. 2014

Firstpage

175

Lastpage

180

Abstract

This paper presents Wiener model predictive control designed for pressure control process. The input-output data measured from experiment is used for identifying a Wiener model. Applying the Wiener model to nonlinear model predictive control (NMPC) can transform the design criterion into a quadratic function. For simulation, the performance of linear MPC controller is compared to nonlinear MPC controller. Effects of each control parameter are also obtained. Then, the designed controller is implemented on distributed control system. The experimental results are similar to simulation results for the same control parameters. Effects of each control parameter are also experimented. Results are discussed in order to provide the best solution for NMPC.

Keywords

control system synthesis; distributed control; linear systems; nonlinear control systems; predictive control; pressure control; NMPC; Wiener model identification; Wiener nonlinear model predictive control; control design; control parameter; distributed control system; input-output data; linear MPC controller; pressure control loop; quadratic function; Linear programming; Observers; Predictive control; Predictive models; Pressure control; Valves; Wiener model; distributed control system; nonlinear model predictive control; pressure control loop; quadratic optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE Annual Conference (SICE), 2014 Proceedings of the

Conference_Location

Sapporo

Type

conf

DOI

10.1109/SICE.2014.6935190

Filename

6935190