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A Complete Formulation of Non-Linear Model-Based Stable Predictive Control Strategy

Prasad, G, Irwin, GW, Swidenbank, E and Hogg, BW (2001) A Complete Formulation of Non-Linear Model-Based Stable Predictive Control Strategy. In: European Control Conference (ECC 01), Porto, Portugal. European Control Conference (ECC 01). 6 pp. [Conference contribution]

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This paper reports a complete formulation of a model predictive control strategy having guaranteed nominal asymptotic stability. The formulation includes a successive linearisation procedure to obtain a linear model from a non-linear plant model. It gives a complete state-space derivation including long-range prediction, trajectory tracking and modelling of both measured feedforward disturbances and unmeasured stochastic disturbances. Using the dual mode controller concept, the formulation applies a terminal constraint at the end of finite horizon prediction so that outputs reach their steady values asymptotically. The control strategy has been applied in a simulation of a thermal power plant, which is a complex multivariable system based on a non-linear physical model. Although the theoretical results are not entirely new, a complete stable MPC formulation along with its application in a realistic large-scale system is not readily available in MPC literature. A set of simulation results demonstrates the effectiveness of the formulated strategy and compares its performance with finite horizon MPC.

Item Type:Conference contribution (Poster)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:8104
Deposited By: Professor Girijesh Prasad
Deposited On:04 Apr 2011 13:29
Last Modified:04 Apr 2011 13:29

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