Publicación:
System identification and PI control applied to refrigeration system for mango exportation
System identification and PI control applied to refrigeration system for mango exportation
| dc.contributor.author | Manrique J. | es_PE |
| dc.contributor.author | Merino M. | es_PE |
| dc.contributor.author | Reyes J. | es_PE |
| dc.contributor.author | Ipanaque W. | es_PE |
| dc.date.accessioned | 2024-05-30T23:13:38Z | |
| dc.date.available | 2024-05-30T23:13:38Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | 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. | |
| dc.description.sponsorship | Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec | |
| dc.identifier.doi | https://doi.org/10.1109/INTERCON.2019.8853604 | |
| dc.identifier.scopus | 2-s2.0-85073526091 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12390/2705 | |
| dc.language.iso | eng | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.ispartof | Proceedings of the 2019 IEEE 26th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2019 | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Refrigeration | |
| dc.subject | Energy consumption | es_PE |
| dc.subject | PI Control | es_PE |
| dc.subject.ocde | http://purl.org/pe-repo/ocde/ford#1.05.10 | |
| dc.title | System identification and PI control applied to refrigeration system for mango exportation | |
| dc.type | info:eu-repo/semantics/article | |
| dspace.entity.type | Publication |