Real-time QFT control for temperature in greenhouses
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Abstract
Sudden changes in a greenhouse environment negatively impact the development and production of crops, especially in greenhouses with natural ventilation when temperatures are low at night and change rapidly due to wet winds. A robust controller based on Quantitative Feedback Theory (QFT) from a Smith predictor structure for the dead-time system is proposed to mitigate these variations. This structure offers high stability based on the gain margin, the phase margin, and the rejection of disturbances in the system output. This design was contrasted with a PID controller based on performance indices according to the transient response and error in the presence of changes in the point of operation and charge disturbances. The final results showed that the dynamic response of the QFT controller improved compared to the PID controller results.
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