Data-driven Temperature Control Based on FRIT for Refrigeration Systems

Abstract

The study of refrigeration systems is attracted topics. Refrigeration is the generation of cooling to maintain a particular product or space at a temperature lower than the ambient temperature. For realizing good control performances, a model-free control is desired. However, a standard PID control may not realize good control performance since refrigeration systems have strong nonlinearity. In this study, we proposed a temperature control based on Fictitious reference feedback tuning(FRIT). The validity of the proposed method is verified through numerical simulation of PID Benchmark 2018.