Nonlinear predictive control of an industrial power plant boiler

S. G. Abokhatwa, M. R. Katebi

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

7 Citations (Scopus)

Abstract

This paper proposes an efficient nonlinear predictive controller (NMPC) for application to a power plant drum-boiler. The control objectives are to maintain the water and pressure levels in the drum within a desired range. First, the nonlinear model of the drum-boiler is transformed to LTV state-dependent nonlinear form to provide global nonlinear behavior. Next, state-dependent nonlinear Kalman filter is used to estimate the system states. Then, a supervisory NMPC algorithm is used as a second level controller to generate optimal set points to the lower level regulating PID loops while maintaing output constraints. Simulation results are presented to demonstrate the excellent tracking and disturbance rejection performance compared with a stand-alone multi loop PID controllers.

Original languageEnglish
Title of host publication2012 20th Mediterranean Conference on Control and Automation
Subtitle of host publicationMED 2012
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages1223-1228
Number of pages6
ISBN (Print)9781467325318
DOIs
Publication statusPublished - 5 Oct 2012
Event2012 20th Mediterranean Conference on Control and Automation, MED 2012 - Barcelona, United Kingdom
Duration: 3 Jul 20126 Jul 2012

Conference

Conference2012 20th Mediterranean Conference on Control and Automation, MED 2012
CountryUnited Kingdom
CityBarcelona
Period3/07/126/07/12

Keywords

  • NMPC
  • nonlinear Kalman filter
  • PID loop regulation
  • nonlinear predictive controller

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