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

Volume

1

fYear

1997

fDate

28-31 Oct 1997

Firstpage

759

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4253-4

Type

conf

DOI

10.1109/ICIPS.1997.672890

Filename

672890