摘要
由于地源热泵空调系统的控制系统较复杂且非线性,在运行过程中所受干扰多,并且难以建立精确的数学模型,目前多采用常规PID控制系统或相对较好一些的模糊PID控制系统,但都存在不足,很难达到其节能和舒适的作用。针对其特点提出了模糊控制和单神经元PID控制相结合的方法。并通过MATLAB仿真工具对其三种控制方法分别进行动态仿真,其结果表明该方法运用于地源热个泵空调系统中,其控制效果明显优于其它两种控制方法,大大提高了控制系统的控制品质,受外界影响较小,响应快,鲁棒性较强,节能和舒适性效果更明显。其研究结果在实际工程中具有一定的实际应用价值。
Suffered interference and more during operation due to variable air volume （VAV） central air conditioning system control system more complex, and the mathematical model is difficult to accurately determine, so a simple PID control of the system difficult to achieve the role of energy efficiency and comfort. According to their characteristics with the two combining for the air conditioning control system, fuzzy control and PID control and MATLAB simulation tool for the two control methods for dynamic simulation, the results show that the fuzzy adaptive tuning PID the control has a faster dynamic response than the PID control, smaller overshoot, is robust; the size of its air supply air supply closer to the actual load, energy efficiency and comfort effect. Their research results in the actual project has a certain reference value.
出处
《制冷与空调（四川）》
2017年第3期313-316,340,共5页
Refrigeration and Air Conditioning
基金
陕西国防工业职业技术学院自然科学类研究项目<地源热泵空调控制系统的设计与研究>(项目编号:Gfy17-14)
关键词
地源热泵空调系统
模糊增益单神经元PID控制
动态仿真
Ground source heat pump air conditioning system
fuzzy gain single neuron Pit） control
dynamic simulation
