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
PublisherEuropean Control Conference
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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