Temperature self-tuning generalized predictive control in a psychrometric tunnel
Resumo
This work has as objective the project a self-tuning generalized predictive controller (GPC) for temperature control in a psychrometric tunnel. The tunnel is composed of a ventilation system and a cooling system. The air blower is driven by one DC motor controlled by a computer to generate and to move a variable flow of air inside the tunnel. The temperature of the air is measured by a sensor fitted to the end of the tunnel. The temperature control is accomplish in real time. The system parameters are estimates by the recursive least squares method and a GPC controller is projected and used in air flow temperature control. GPC is a specific strategy of control based on the explicit model of the system. The controller is implemented through the LabVIEW software and a data acquisition board. As experimental results are shown: temperature response, parameters estimates, estimation error and control variable.Downloads
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2008-10-13
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Montenegro, P. H. M., Riul, J. A., Oliveira, B. S., & Silva, S. A. (2008). Temperature self-tuning generalized predictive control in a psychrometric tunnel. Revista Ciências Exatas, 13(1). Recuperado de https://periodicos.unitau.br/exatas/article/view/404
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