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Development of a Waste-Heat Boiler Model Based on a Fuzzy Logic Apparatus

机译:基于模糊逻辑装置的废热锅炉模型开发

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The work is devoted to the problems of modeling systems with incomplete or complex mathematical description using the fuzzy logic apparatus. The object of modeling is the heat-recovery boiler of the gas turbine power station. The object is represented as a complex, thermodynamic system with non-stationary dynamics and a variety of forms of communication of input and output parameters, which influence the heat exchange processes. Due to the complex specifics of the system or the conditions of incomplete information about the object, the creation of an adequate mathematical description using the methods of the classical theory of automatic control becomes a difficult task. The use of the apparatus of fuzzy logic for modeling objects with complex dynamics has several advantages: they function well in conditions of incomplete information about the object of research, do not require a strictly mathematical description of the object, have the ability to adjust existing models without making many changes to them. Having information about the processes in the object of research, knowing the degree of influence of input parameters on the output characteristics of the object and knowing the limits of changing parameters, one can create a model that will describe the dynamic characteristics of the object with a sufficient degree of adequacy by means of the fuzzy logic apparatus. As a result of the research, a model of a heat recovery boiler was developed using a fuzzy logic apparatus. Linguistic variables, membership functions of linguistic terms, focused on the subsequent solution of the identification problem are defined. A rule base has been developed to describe the behavior of the model. The method of defuzzification of output linguistic variables is selected. The identification of a fuzzy model based on historical trend curve in equipment operation has been carried out.
机译:该工作致力于使用模糊逻辑装置对具有不完整或复杂数学描述的系统建模的问题。建模的目标是燃气轮机电站的热回收锅炉。该对象表示为一个复杂的热力学系统,具有不稳定的动力学特性以及输入和输出参数的多种形式的通信,这会影响热交换过程。由于系统的复杂细节或关于对象的不完整信息的条件,使用经典自动控制理论的方法创建适当的数学描述成为一项艰巨的任务。使用模糊逻辑设备对具有复杂动力学的对象进行建模具有以下优点:在有关研究对象的信息不完整的情况下,它们可以很好地发挥作用;不需要对对象进行严格的数学描述;可以调整现有模型无需对其进行很多更改。有了有关研究对象过程的信息,知道了输入参数对对象输出特性的影响程度,并且知道了参数变化的限制,就可以创建一个模型来描述对象的动态特性。借助于模糊逻辑装置获得足够的充分程度。作为研究的结果,使用模糊逻辑装置开发了热回收锅炉的模型。定义了语言变量,即语言术语的隶属函数,着重于识别问题的后续解决方案。已经开发了一个规则库来描述模型的行为。选择对输出语言变量进行去模糊化的方法。进行了基于历史趋势曲线的装备运行模糊模型的辨识。

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