Title :
Data-driven subspace identification and predictive control for a NIAT process platform
Author :
Wang, Lu ; Li, Ning ; Li, Shaoyuan
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
In this paper, a data-driven subspace identification method and a model predictive controller are presented for a NIAT platform. First, a data-driven subspace identification method for the process modeling is used. Based on the model, we design a predictive controller. Then considering SISO/ TITO cases of the platform respectively. Both the modeling and control effectiveness of the proposed methods are validated by the experiments´ results.
Keywords :
control system synthesis; identification; predictive control; process control; NIAT process platform; SISO platform; TITO platform; data-driven subspace identification method; model predictive controller; predictive controller design; process modeling; Equations; Mathematical model; Predictive control; Predictive models; Valves; Water heating; Data-driven; NIAT platform; model predictive control; subspace identification;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244263
