%0 Conference Paper
%A Wibowo, T.C.S.
%A Saad, N.
%A Karsiti, M.N.
%D 2009
%F scholars:649
%K Discrete-time; Dynamic characteristics; Empirical modeling; Gaseous pilot plant; Identification approach; Identification process; Input signal; Interacting process; Linear model; Non-Linearity; Open loops; Operating points; Predictive control; Real-time implementations; Real-time models; State space model; Steady state errors; Sub-space methods; System identifications, Closed loop control systems; Identification (control systems); Pilot plants; Predictive control systems; Real time control, Model predictive control
%P 4384-4389
%R 10.1109/ACC.2009.5160239
%T System identification of an interacting series process for real-time model predictive control
%U https://khub.utp.edu.my/scholars/649/
%X This paper presents the empirical modeling of the gaseous pilot plant which is a kind of interacting series process with presence of nonlinearities. In this study, the discrete-time identification approach based on subspace method with N4SID algorithm is applied to construct the state space model around a given operating point, by probing the system in open-loop with variation of input signals. Three practical approaches are used and their performances are compared to obtain the most suitable approach for modeling of such a system. The models are also tested in the real-time implementation of a linear model predictive control. The selected model is able to well reproduce the main dynamic characteristics of gaseous pilot plant in open loop and produces zero steady-state errors in closed loop control system. Several issues concerning the identification process and the construction of MIMO state space model are discussed. © 2009 AACC.
%Z cited By 9; Conference of 2009 American Control Conference, ACC 2009 ; Conference Date: 10 June 2009 Through 12 June 2009; Conference Code:78162