Abstract
Steam distribution networks are used to provide energy to many industrial processes. The dynamic response of these networks is non-linear and multivariable. A system with such a response can be effectively controlled by making use of multivariable model based control methods. Such methods require the development of a dynamic model of the process. This paper presents the development of a state-space model of a steam header based on momentum and continuity equations. The model was analyzed for state observability and validated against gathered plant data.
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