M.N., Karsiti and T.C.S., Wibowo and N., Saad (2009) System identification of an interacting series process for real-time model predictive control. In: 2009 American Control Conference, ACC 2009, 10 June 2009 through 12 June 2009, St. Louis, MO.
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Abstract
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.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | 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 |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Departments / MOR / COE: | Departments > Electrical & Electronic Engineering |
Depositing User: | Assoc Prof Dr Mohd Noh Karsiti |
Date Deposited: | 09 Mar 2010 02:01 |
Last Modified: | 19 Jan 2017 08:25 |
URI: | http://scholars.utp.edu.my/id/eprint/471 |