用模糊控制器实现热发生器温度控制的自动化

Kotov B. І., Stepanenko S. P., Hryshchenko V. O., Pantsir Y. I., Gerasimchuk I. D.
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引用次数: 0

摘要

目的。提高空气供热装置温度控制的质量。方法。所考虑问题的特殊性决定了研究的分析方法,即通过建立热发生器非平稳热态的数学模型,并基于模糊逻辑计算温控器的参数。分析了带换热器的热发生器的热效应,确定了物理模型,并在此基础上建立了热发生器设计要素中非稳态传热的数学模型。该模型以三个偏微分方程的形式表示。方程组的近似解和广义简化使得用一阶带时滞的非周期传递函数确定动力学模型成为可能。基于辨识出的模型系数,建立了模糊控制器规则库和温度自动控制系统,分别采用典型PID控制器和模糊温度控制器。对自动温控系统的暂态调节过程进行了分析。通过对温度自动控制系统瞬态过程特性的分析,表明采用模糊控制器的温度自动控制系统比采用典型PID控制器的温度自动控制系统的控制时间要短。因此,热发生器中的模糊空气温度控制系统可用于自动化一类重要的热产生装置。关键词:热发生器,模糊控制器,动态模式,数学模型,生产车间。
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Automation of temperature control of a heat generator with a fuzzy logic controller
Purpose. Improving the quality of temperature control of a heat generating installation for air heating. Methods. The specificity of the issue under consideration determines the analytical method of research by formulating a mathematical model of the non-stationary thermal regime of the heat generator and calculating the parameters of the temperature controller based on fuzzy logic. Results. Analysis of the thermal effects of a heat generator with a heat exchanger, a physical model is determined and, on its basis, a mathematical model of non-stationary heat transfer in the elements of the heat generator design is formulated. The model is presented in the form of three partial differential equations. An approximate solution of the system of equations and generalized simplifications made it possible to determine the dynamic model by means of first-order aperiodic transfer functions with delay. Based on the identified model coefficients, a fuzzy controller rule base and an automatic temperature control system were created in two versions: with a typical PID controller and a fuzzy temperature controller. The analysis of transient processes of regulation of the automatic temperature control system was carried out. Conclusions. An analysis of the characteristics of the transient process of the automatic temperature control system revealed that the control time of a system with a fuzzy controller is less than in a system with a typical PID controller. Therefore, a fuzzy air temperature control system in a heat generator can be used to automate a significant class of heat generating devices. Keywords: heat generator, fuzzy controller, dynamic mode, mathematical model, production room.
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