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With the rapid socio-economic development, the central air-conditioning has been applied to all aspects of building buildings. However, the domestic central air-conditioning system to use more fixed-frequency control, energy waste is very serious. In addition, the central air-conditioning system is a typical multi-variable, non-linear, time-varying systems, control more difficult. Therefore, the study of advanced control strategies used in central air-conditioning system energy saving has tremendous scientific value, and market prospects. In this paper, the characteristics of the central air-conditioning design a central air-conditioning intelligent fuzzy control strategy to achieve the energy saving of central air-conditioning system, the purpose of efficient operation. The main content of this paper include: 1. Achieve the design of the central air conditioning system parameters, including system devices rated for-heat, power, plumbing, piping, and other parameters; established manufacturers of central air conditioning device models, ordered the required a variety of devices, as well as hardware and software; mechanical installation of central air conditioning systems, electrical installation, electrical commissioning; completion of a central air conditioning system monitoring platform hardware and software design, successful implementation of OPC-based communication protocol, power control configuration software and MATLAB monitoring system, make full use of the advantage of advanced control strategies written in MATLAB. According to the central air-conditioning system difficult to model, time-variant, multi-loop as well as fixed-frequency energy consumption run the central air-conditioning system is divided into bottled water temperature of the cooling water, chilled water and bottled water temperature, cooling water temperature difference, chilled water temperature difference between the air The handling units Plenum control five sub-modules. For each sub-modules, simulation and experimental design fuzzy variable domain of control strategies, successful implementation of a sub-module of the control to the cooling tower fan, cooling water pumps, chilled water pumps, compressors, air handling unit supply air fan frequency energy saving operation. Actual operating results show that, compared with the basic fuzzy control, PID control, fuzzy variable domain of control can be well applied to the inverter control of the central air-conditioning system, to achieve efficient operation, energy saving purposes. Room temperature mechanism modeling, and the room temperature model identified by the step response method. PID control, the fuzzy variable domain of control, and fuzzy PID control model to identify the controller design and simulation, and applied to the actual system. Actual operating results show that, compared to other control strategies, the rise time is essentially the same case, the fuzzy PID control regulation shortest and no overshoot, room temperature control can be used to improve user comfort.
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