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| Authors: | R. Linker, I. Seginer |
| Keywords: | Failure diagnosis, climate modeling, dynamic excitation, water stress |
Abstract:
The first part of this paper presents an analysis of the effect of different failures on greenhouse operation.
A simulation study shows that failures prevent the greenhouse climate from being controlled optimally, and may result in significant financial losses to the grower.
Subsequently, two methods for failure detection and isolation are presented.
The first method is based on a comparison between the measured greenhouse climate and the predictions of a reference model.
This comparison is performed according to the Unknown Input Observer approach, which ensures robustness of the diagnosis with respect to noise and modeling errors.
The second method is aimed specifically at detecting crop water stress during noontime hours.
At such times, the high heat load requires strong ventilation, which reduces the detection capability of the first method.
Crop water stress detection is achieved by suspending the ventilation for short periods of time (30 minutes), and comparing the greenhouse climate response to some reference response.
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