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作者:

Li, Yanfeng (Li, Yanfeng.) (学者:李炎锋) | Bian, Jiang (Bian, Jiang.) | Zhang, Ning (Zhang, Ning.) | Li, Junmei (Li, Junmei.)

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摘要:

An intelligent control scheme for fan coil air-conditioning systems has been put forward in order to overcome the shortcomings of the traditional proportion-integral-derivative (PID) control scheme. These shortcomings include the inability of anti-interference and large inertia. An intelligent control test rig of fan coil air-conditioning system has been built, and MATLAB/Simulink dynamics simulation software has been adopted to implement the intelligent control scheme. A software for data exchange has been developed to combine the intelligence control system and the building automation (BA) system. Experimental tests have been conducted to investigate the effectiveness of different control schemes including the traditional PID control, fuzzy control, and fuzzy-PID control for fan coil air-conditioning system. The effects of control schemes have been compared and analyzed in robustness, static and dynamic character, and economy. The results have shown that the developed data exchange interface software can induce the intelligent control scheme of the BA system more effectively. Among the proposed control strategies, fuzzy-PID control scheme which has the advantages of both traditional PID and fuzzy schemes is the optimal control scheme for the fan coil air-conditioning system.

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作者机构:

  • [ 1 ] [Li, Yanfeng]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Bian, Jiang]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Zhang, Ning]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Li, Junmei]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China

通讯作者信息:

  • 李炎锋

    [Li, Yanfeng]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China

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来源 :

ADVANCES IN MECHANICAL ENGINEERING

ISSN: 1687-8132

年份: 2013

2 . 1 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:131

JCR分区:4

中科院分区:4

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WoS核心集被引频次: 0

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

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