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Model Predictive Control via Output Feedback Neural Network for Improved Multi-Window Greenhouse Ventilation Control

1
Smart Farm Research Center, Korea Institute of Science and Technology (KIST), Gangneung-si, Gangwon-do 25451, Korea
2
Department of Biosystems and Biomaterial Engineering, College of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(6), 1756; https://doi.org/10.3390/s20061756
Received: 10 February 2020 / Revised: 11 March 2020 / Accepted: 20 March 2020 / Published: 22 March 2020
Maintaining environmental conditions for proper plant growth in greenhouses requires managing a variety of factors; ventilation is particularly important because inside temperatures can rise rapidly in warm climates. The structure of the window installed in a greenhouse is very diverse, and it is difficult to identify the characteristics that affect the temperature inside the greenhouse when multiple windows are driven, respectively. In this study, a new ventilation control logic using an output feedback neural-network (OFNN) prediction and optimization method was developed, and this approach was tested in multi-window greenhouses used for strawberry production. The developed prediction model used 15 inputs and achieved a highly accurate performance (R2 of 0.94). In addition, the method using an algorithm based on an OFNN was proposed for optimizing considered six window-opening behavior. Three case studies confirmed the optimization performance of OFNN in the nonlinear model and verified the performance through simulations. Finally, a control system based on this logic was used in a field experiment for six days by comparing two greenhouses driven by conventional control logic and the developed control logic; a comparison of the results showed RMSEs of 3.01 °C and 2.45 °C, respectively. It confirmed the improved control performance in comparison to a conventional ventilation control system. View Full-Text
Keywords: greenhouse climate modeling; machine learning; multi-window ventilation; greenhouse climate control greenhouse climate modeling; machine learning; multi-window ventilation; greenhouse climate control
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Jung, D.-H.; Kim, H.-J.; Kim, J.Y.; Lee, T.S.; Park, S.H. Model Predictive Control via Output Feedback Neural Network for Improved Multi-Window Greenhouse Ventilation Control. Sensors 2020, 20, 1756.

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