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Experimental Study on Intelligent Control Scheme for Fan Coil Air-Conditioning System

机译:风机盘管空调系统智能控制方案的实验研究

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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.
机译:为了克服传统比例积分微分(PID)控制方案的不足,提出了一种风机盘管空调系统的智能控制方案。这些缺点包括无法抗干扰和惯性大。建立了风机盘管空调系统智能控制试验台,并采用MATLAB / Simulink动力学仿真软件实现了智能控制方案。已经开发了用于数据交换的软件,以将智能控制系统和楼宇自动化(BA)系统结合在一起。进行了实验测试,以研究不同控制方案的有效性,包括传统的PID控制,模糊控制和模糊PID控制,用于风机盘管空调系统。在鲁棒性,静态和动态特性以及经济性方面对控制方案的效果进行了比较和分析。结果表明,所开发的数据交换接口软件可以更有效地引入BA系统的智能控制方案。在所提出的控制策略中,兼具传统PID和模糊方案优势的Fuzzy-PID控制方案是风机盘管空调系统的最优控制方案。

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