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On-line parameter identification and model validation for distributed parameter models with applications to solar thermal systems
Conference proceeding

On-line parameter identification and model validation for distributed parameter models with applications to solar thermal systems

J.J Helferty, T Jurand, R Fischl and P Herczfeld
[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory, pp 135-140
1988

Abstract

Application software Differential equations Distributed computing Error correction Fluid dynamics Parameter estimation Partial differential equations Plugs Temperature measurement Time measurement
The parameter identification problem for a class of distributed parameter plug flow models characterized by first-order vector partial differential equations is investigated. It is assumed that the physical process is represented by a system of partial differential equations of known form but containing unknown parameters. A sequential parameter identification algorithm is developed to estimate the parameters for two distributed-parameter plug flow models, namely the one- and two-temperature-plug-flow models that are used to describe the dynamics of a solar collector. The problem is put into the general framework of a nonlinear identification problem which is solved by a nonlinear recursive least-square (NRLS) algorithm. The NRLS algorithm is used to estimate the model parameters from both stimulated and experimental data taken from Colorado State Universities Solar House III.< >

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