Fuzzy control of the compressor speed in a refrigeration plant

Experimental analysis of the scroll compressor performances varying its speed

“…For the above mentioned operating conditions a comparison in terms of energy saving has been realized between a scroll compressor speed control algorithm, capable of regulating the scroll compressor electric motor supply current frequency, and the classical control with thermostat. The fuzzy controller has been already determined and described by authors in a former paper [9]. In Fig.…”

“…The fuzzy logic is based on the three principal phases: fuzzification, inference mechanism and defuzzification. The fuzzification process allows to transform a defined value into a fuzzy value; the inference process determines the output fuzzy by means of the rules [9] fixed according to the experimental reality; the defuzzification process permits to transform the fuzzy output into a defined value. After some experimental considerations to understand the control characteristics of the scroll compressor, the membership functions have been defined [9] for the temperature difference between the set-point temperature and the real temperature of the evaporator water, the derivative of this temperature difference in the time and the frequency of the compressor motor supply current.…”

Modeling of a New Structure of Precision Air Conditioning System Using Secondary Condenser for Rh Regulation

“…The temperature of PAC system is usually controlled by manipulating variable speed compressor. Many researchers suggested various control strategy based on number of operating parameter [2][3], energy balance of air and refrigerant [4], and qualitative model [5]. However, research has demonstrated that this approach has numerous difficulties, and results in limited control performance such as large variation of temperature, tendency to be non-convergence, slow response, and non-zero steady state error.…”

Variable fuzzy control for heat pump operation

“…Furthermore, fuzzy control of determining capacity (frequency) of inverter compressor from evaporating temperature error (current evaporating temperature-target evaporating temperature) and evaporating temperature gradient (current evaporating temperature-previous evaporating temperature) has also been studied [7]. Aside from these, studies on selecting the best refrigerant by applying fuzzy control to various refrigerants [8], on showing the possibility of stable system control execution by adjusting the flow rate of refrigerant using fuzzy control to each indoor unit in a multi-type air conditioner [9,10], and on showing economic superiority of energy saving [11] have been conducted.…”