Title :
Intelligent control for refrigerating system of low-voltage and high-power ammonia compressor
Author :
Wang, Qing-chao ; Hu, Shea-min ; Liu, Rong ; Yu, Bao-cai ; Zhao, Chang-jiang
Author_Institution :
Res. Inst. of Power Electron., Harbin Inst. of Technol., China
Abstract :
Based on the principle of fuzzy control and neuron control, an intelligent controller is applied successfully to a system of low voltage and high power ammonia compressor. By regulating speed with an inverter, the power economizing technique for the system with constant torque load is realized. The real operating results show the robustness and superior dynamic performance of the system. It saves energy obviously and has great value to spread
Keywords :
fuzzy control; fuzzy set theory; intelligent control; neurocontrollers; power system control; refrigeration; constant torque load; fuzzy control; high power ammonia compressor; intelligent controller; neuron control; operating results; power economizing technique; refrigerating system; robustness; superior dynamic performance; Control systems; Fuzzy control; Intelligent control; Inverters; Low voltage; Neurons; Refrigeration; Robustness; Torque; Voltage control;
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
DOI :
10.1109/ICIPS.1997.672890
