On line optimal control of variable speed compressor motor drive system using neural control model

Author

Yatim, Abdul Halim Mohd ; Utomo, Wahyu Muiyo

Author_Institution

Fac. of Electr. Eng., Malaysia Tecknologi Univ., Malaysia

fYear

2004

fDate

29-30 Nov. 2004

Firstpage

83

Lastpage

87

Abstract

One of the methods used to increase energy savings in air conditioning system is by varying the speed of the motor compressor. A neural network control based on scalar control model for variable speed induction motor compressor is proposed. The controller is used to generate the signals of the voltage and frequency reference control. This system can be used to minimize the input power required to the motor drive in steady state and transient change conditions. The proposed method is tested by MATLAB simulation.

Keywords

compressors; frequency control; induction motor drives; machine control; machine testing; neurocontrollers; optimal control; transients; variable speed drives; voltage control; MATLAB simulation; air conditioning system; energy savings; frequency reference control; induction motor drive system; neural network control; online optimal control; scalar control model; steady state conditions; transient change conditions; variable speed compressor; voltage control; Air conditioning; Control system synthesis; Induction generators; Induction motors; Mathematical model; Motor drives; Neural networks; Optimal control; Power system modeling; Voltage control;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Conference, 2004. PECon 2004. Proceedings. National

Print_ISBN

0-7803-8724-4

Type

conf

DOI

10.1109/PECON.2004.1461621

Filename

1461621