System identification of an interacting series process for real-time model predictive control

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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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)
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
ID Code:471
Deposited By: Assoc Prof Dr Mohd Noh Karsiti
Deposited On:09 Mar 2010 02:01
Last Modified:19 Jan 2017 08:25

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