Abstract
Environmental conditions such as the direct exposure of sensors to sunlight and the deterioration of connections between the sensors and the controllers risk the occurrence of noisy and incomplete measurements which may impair the greenhouse climate control system. Noisy measurements increase the number of false alarms received from fault detection and isolation (FDI) systems and makes it unreliable. The objective of this article was to reduce the measurement noise by using the system states estimated by an Extended Kalamn Filter (EKF) and Uncented Kalman Filter (UKF) instead of the noisy measured system states. The applied approach is not limited to greenhouses but it is applicable to any control system installed in a noisy environment. Results show that the proposed method successfully reduced the measurement noise and improved the energy efficiency of the greenhouse climate control.
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