译文：
针对制冷系统蒸发器过热度随EDM型电子膨胀阀开度变化的关系模型，对电子膨胀阀的步进电机施以电脉冲驱动，从而获得蒸发器过热度作为动态响应的运行规律，并应用8种系统辨识方法对该制冷系统进行辨识.经过对各种辨识方法辨识结果的比较，给出各种辨识方法在处理这一类问题时的辨识精度，以及在具体处理过程中的特点，给出适于这一类模型的辨识方法.同时，也说明了该环节用一个三阶环节描述更接近实际情况，这为以后制冷系统模拟、仿真奠定较好的基础。 目前各种制冷电器设备，因其内部系统复杂以及强烈的相互耦合性，难以运用通常的机理法建立起准确的系统模型，采用常规的比例积分微分(PID)调节器很难达到良好的控制效果，如在初次运转和工况发生变化时，都需要重新调整PID参数，有时甚至无法达到基本要求.理论分析和应用经验表明，像制冷系统这一类结构部分已知、参数未知但变化缓慢的控制对象，特别适宜自适应控制。过程控制面临的首要问题就是过程建模，建模方法通常有机理法和系统辨识方法.系统辨识方法是通过输入输出数据来建立数学模型，它是自校正控制系统的基础.系统辨识方法有很多，最常用的方法是最小二乘法，此外还有辅助变量法、梯度校正法和极大似然法等.但并不是每一种辨识方法对所有的问题均适用.然后给出一种随机搜索法，实践表明，这种方法十分适用于制冷系统这一类模型的辨识。 运用其中几种辨识方法对试验数据进行辨识，将结果进行了比较，同时分析这些方法的在线实时性要求，以期得到适合这一类模型的辨识方法.这些方法很多文献都给出较详细的推导，对辨识方法中某些参数的选取办法也有一些说明。但按文献中的参数，本文的辨识结果常常是有偏估计，因此，在具体模型中，本文给出了对这些参数值的设定.

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原文：
For the refrigeration system evaporator superheat with the EDM type electronic expansion valve opening change the relationship between the model of the stepper motor electronic expansion valve to impose electric pulse drive to get the evaporator superheat as the dynamic response of the operation rules, and apply the 8 kind of system identification methods to identification of the refrigeration system. After identification of various identification methods comparing the results, given the various identification methods in dealing with this kind of problem identification accuracy, as well as in specific processing, it presents suitable for this type of model identification method. It also illustrates the link with a three-order description is closer to the actual situation, which for the refrigeration system after the simulation and provide a better basis. Present a variety of refrigeration appliances, because of its complex internal systems and strong mutual coupling, the mechanism is difficult to apply the usual method to establish an accurate system model, using the conventional proportional integral derivative (PID) controller is difficult to achieve good control performance , as in the initial operation and condition change, both need to adjust the PID parameters, and sometimes even meet the basic requirements. Theoretical analysis and application experience has shown that this type of structure asthe cooling system either known or unknown parameters but the slow change control object, especially suitable for adaptive control. The most important issue facing the process control is process modeling, modeling methods usually organic hair cut, and system identification. System identification method is through the input and output data to construct a mathematical model, which is the basis of self-tuning control system. There are many methods of system identification The most commonly used method is least squares method, in addition to auxiliary variables, gradient correction method and the maximum likelihood method. but not every problem identification methods are applicable to all. and then given a random search law, practice shows that this method is very suitable for this type of refrigeration system model identification. Several identification methods which use test data to identify, the results are compared, while analysis of these methods of online real-time requirements to be suitable for this type of model identification method. Many of these methods are given in greater detail in the literature derived , Identification of some parameters on the selection of methods there are some instructions. But according to the parameters of the literature, this identification is often the result of biased estimates, therefore, in the specific model in this paper we set the values of these parameters