Picture water droplets

Developing mathematical theories of the physical world: Open Access research on fluid dynamics from Strathclyde

Strathprints makes available Open Access scholarly outputs by Strathclyde's Department of Mathematics & Statistics, where continuum mechanics and industrial mathematics is a specialism. Such research seeks to understand fluid dynamics, among many other related areas such as liquid crystals and droplet evaporation.

The Department of Mathematics & Statistics also demonstrates expertise in population modelling & epidemiology, stochastic analysis, applied analysis and scientific computing. Access world leading mathematical and statistical Open Access research!

Explore all Strathclyde Open Access research...

Nonlinear predictive control of an industrial power plant boiler

Abokhatwa, S. G. and Katebi, M. R. (2012) Nonlinear predictive control of an industrial power plant boiler. In: 2012 20th Mediterranean Conference on Control and Automation. IEEE, Piscataway, NJ, United States, pp. 1223-1228. ISBN 9781467325318

Full text not available in this repository. Request a copy from the Strathclyde author

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.