Dynamic modeling and control of a direct expansion air conditioning system using artificial neural network

Applied Energy

Volumn 91, Issue 1, 2012, Pages 290-300

  Li, Ning ^a   Xia, Liang ^a   Shiming, Deng ^a   Xu, Xiangguo ^a   Chan, Ming Yin ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Air conditioning; Artificial neural network; Control; Direct expansion; Dynamic modeling; Variable speed

Indexed keywords

AIR CONDITIONING; ATMOSPHERIC TEMPERATURE; CONTROL ENGINEERING; CONTROLLERS; DISTURBANCE REJECTION; DYNAMIC MODELS; EXPANSION; NEURAL NETWORKS; SPEED; THERMAL COMFORT;

AVERAGE RELATIVE ERROR; COMMAND FOLLOWING; DIRECT EXPANSION; DX A/C SYSTEMS; INDOOR AIR TEMPERATURE; MAXIMUM RELATIVE ERRORS; MODELING AND CONTROL; VARIABLE SPEED;

HUMIDITY CONTROL;

ACCURACY ASSESSMENT; AIR CONDITIONING; AIR TEMPERATURE; ARTIFICIAL NEURAL NETWORK; DYNAMIC ANALYSIS; ERROR ANALYSIS; HUMIDITY; INDOOR AIR;

EID: 80755184642     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2011.09.037     Document Type: Article

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