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针对中央空调系统的大滞后、时变性和非线性等特点,在中央空调的冷却水系统中采用模糊模型参考学习控制方案。不断修正控制规则改善控制性能,调整模糊控制器的参数,使得对象的输出跟踪参考模型的输出。控制算法由程序实现,以数字语言值为特征,在线推理。仿真采用Simulink中的S函数,仿真结果证明了该控制策略响应速度快、鲁棒性好,能够实现中央空调系统的节能运行。
In view of the large lag, time-varying and non-linear characteristics of central air-conditioning system, the fuzzy model reference learning control scheme is adopted in the cooling water system of central air conditioning. Constantly modify the control rules to improve control performance, adjust the fuzzy controller parameters, making the object’s output tracking reference model output. The control algorithm is implemented by the program, characterized by numerical language values, online reasoning. The simulation uses the S function in Simulink. The simulation results show that the control strategy has the advantages of fast response, good robustness, and energy saving operation of the central air conditioning system.