STUDY ON THE CONTROL ALGORITHM OF THE HEAT PUMP SYSTEM FOR LOAD CHANGE
The base study for the optimal control algorithm of the heat pump system was investigated. The research object is a heat pump system of the desiccant cooling and vapor compression hybrid system using solar thermal energy. The severe load change could be carried to the heat exchangers of the heat pump due to the complexity of this hybrid system. Therefore the rapid adaptation control of the heat pump is very important for the stable and reliable operation to the whole system. To study on the refrigeration cycle characteristics, the heat pump system which consists of the controllable components such as the EEV (electronic expansion valve) and the variable speed compressor was built. The ANN (artificial neural network) algorithm was used to relate between the control parameters and the measured data of the refrigeration cycle. According to the change of rotational frequency of compressor and the opening of expansion valve, the parameters such as temperatures and pressures of the refrigeration cycle is changed. In this study, the relation of the control parameters and the experimentally measured data was found to set the appropriate target value for the control the heat pump system.