System identification and PI control applied to refrigeration system for mango exportation

• Autores: Manrique J., Merino M., Reyes J., Ipanaque W.
• Formato: artículo
• Fecha de Publicación: 2019
• Institución: Consejo Nacional de Ciencia Tecnología e Innovación
• Repositorio: CONCYTEC-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.concytec.gob.pe:20.500.12390/2705
• Enlace del recurso: https://hdl.handle.net/20.500.12390/2705; https://doi.org/10.1109/INTERCON.2019.8853604
• Nivel de acceso: acceso abierto
• Materia: Refrigeration; Energy consumption; PI Control; http://purl.org/pe-repo/ocde/ford#1.05.10

In the northern region of Peru, the agro-export sector has grown considerably in the last ten years. In Piura specifically, it can be seen a huge expansion in products such as grape, mango and banana. Cooling systems are important for the agro-export sector representing between 40 and 50% of total electricity consumption, so it is necessary to have efficient automated cooling systems that would meet high quality and performance standards.In this article, a model based on transfer function has been identified for the refrigeration pilot plant of the University of Piura and a PI controller has been designed for said model, comparing its performance in relation to the ON OFF controllers currently used in the Peruvian agro-industry. The control variable was the compressor frequency and the controlled variable was the internal temperature of the cold-room.The refrigeration pilot plant of the University of Piura has the infrastructure of refrigeration systems used in Peruvian industry. The experiments were carried out for mango whose conservation temperature is 9° C. Settling time and overshoot were evaluated, between the PI controller and the traditional ON OFF control. The results show a stable temperature control with a dynamical response free of significant overshoot and zero offset between the process variable and the setpoint for steady state. © 2019 IEEE.