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

G Prasad, GW Irwin, E Swidenbank, BW Hogg

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.
Original languageEnglish
Title of host publicationUnknown Host Publication
Pages3458-3463
Number of pages6
Publication statusPublished - Sep 2001
EventEuropean Control Conference (ECC 01) - Porto, Portugal
Duration: 1 Sep 2001 → …

Conference

ConferenceEuropean Control Conference (ECC 01)
Period1/09/01 → …

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Prasad, G., Irwin, GW., Swidenbank, E., & Hogg, BW. (2001). A Complete Formulation of Non-Linear Model-Based Stable Predictive Control Strategy. In Unknown Host Publication (pp. 3458-3463)