Fuzzy control of the compressor speed in a refrigeration plant

Operation of Compressor and Electronic Expansion Valve via Different Controllers

“…A membership function can be defined by a geometric shape such as triangular, trapezoidal, etc. The selection of the membership functions depends on expert's knowledge about the process (Aprea et al, 2004;Ross, 2004).…”

“…Nonlinear controllers based on Fuzzy Logic (FL) and Artificial Neural Network (ANN) may overcome these issues (Aprea et al, 2006a,b). The most important advantage of these algorithms is to enable solving control problems without any already-known mathematical model (Narendra and Parthasarathy, 1990;Narendra, 1993;Aprea et al, 2004;Ross, 2004). In this chapter, different control algorithms, based on proportional-integral-derivative (PID), fuzzy logic (FL), artificial neural network (ANN) for compressor speed and opening percentage of electronic expansion valve, were compared by means of achieving their desired output and energy demands.…”

Application of a lumped model for predicting energy performance of a variable-speed vapour compression system

“…3. The refrigerant mass flow rate has been modelled using equation (1), where the compressor volumetric efficiency, V η , has been expressed as a function of operating pressures and compressor speed, N, as shown in equation (2). For simplicity, the refrigerant density considered is the one corresponding to the saturated vapour at the evaporating pressure.…”

“…It is well known that the air conditioning and refrigeration systems operate during most of their lifetime under part-load conditions [2], being necessary an appropriate adaptation of the cooling capacity to thermal load conditions. It has been proved theoretically that compressor speed variation is the most efficient method of controlling refrigeration capacity [3].…”

Implementation and Tuning of a Fuzzy-Pid Control System via Fieldbus Communication

“…These applications include control in refrigeration systems (APREA et al, 2004;EKREN and KUÇUKA, 2010;SILVA et al, 2011;VIDAL et al, 2016;FRANCO et al, 2017); in biodiesel reactor (BABUSKA and VERBRUGGEN, 1996;EKER and TORUN, 2006;FONSECA, et al, 2016); in polymerization reactor (FILETI et al, 2007;WAKABAYASHI et al, 2009);in bioreactor (FONSECA et al, 2013) and successful application to nonlinear and real-world processes control (FUENTE et al, 2006;LIAO et al, 2008;PRECUP and HELLENDOORN, 2011).…”