Estimation of inner-domain temperatures for a freezing process
Journal article, Peer reviewed
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Original versionProceedings of the IEEE Conference on Control Applications 2014:1759-1764 10.1109/CCA.2014.6981567
In this paper a state observer for a distributed parameter system (DPS) with nonconstant parameter functions is presented. The DPS describes the freezing of foodstuff in vertical plate freezers and is a nonlinear heat equation. The observer is based upon the Extended Kalman Filter, meaning that the nonlinear heat equation has been discretized in the spatial domain before designing the observer. We show that the observer is robust with respect to perturbations of parameter functions and noisy measurement signals and that the innerdomain temperatures can be correctly estimated.
- Author's preprint