Fuzzy Control of a Toroidal Thermosyphon for Known Heat Flux Heating Conditions
Fuzzy Control of a Toroidal Thermosyphon for Known Heat Flux Heating Conditions
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已知热通量加热条件下环形热虹吸管的模糊控制
DOI：
10.11159/enfht23.133
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发表时间：
2023
影响因子：
2.2
通讯作者：
Pacheco-Vega, Arturo
中科院分区：
文献类型：
--
作者：
Lopez, Daniel S.;Pacheco-Vega, Arturo
在本文中，我们开发了基于模糊逻辑技术的智能控制策略，以稳定环形热虹吸管中的流体速度和温度。我们的目标是扩展我们以前工作[1]的分析，该工作侧重于为热环的流体流量和相应的温度建立一个比例型模糊控制器。自然对流回路具有环状的环状形状。已知的热流入发生在回路的某些部分，而热流出发生在其他部分。通过使用流体速度的空间平均值和流体温度的一维近似，所得到的线性动量和热能积分微分方程组被转化为一个非线性动力学系统。三种可能的情况，即稳定、极限环和混沌，在设备的流动和热动力学中自然出现。建立了两种类型的模糊控制器，每种控制器都具有关于系统中流体速度的越来越多的信息，并进行了测试。采用三角隶属度函数和IF-THEN规则来稳定不同运行条件下的系统动态。由于回路的倾角和热流密度被用作表征其动态行为的参数，因此这些是被操纵变量，而控制变量是回路内的平均流体速度和温度。用MatLab实现了模糊控制器，并给出了相应的控制动作，同时进行了数值实验以评估其相对性能。结果表明，所有模糊控制器都能有效地稳定热虹吸系统。然而，随着系统提供给控制器的信息越多，控制器的性能就越好。
In this paper, we develop intelligent control strategies based on the Fuzzy Logic technique to stabilize fluid velocity and temperature in a toroidal thermosyphon. The goal is on extending the analysis of our previous work [1], which focused on building a proportional-type fuzzy controller for the fluid flow, and corresponding temperature, of the thermal loop. The natural convection loop has a toroidal shape of a torus. A known influx of heat occurs in some parts of the loop whereas heat efflux takes place in others. By using space-averaged values of the fluid velocity and one-dimensional approximation for the fluid temperature, the resulting integrodifferential equations for linear momentum and thermal energy are converted to a nonlinear dynamical system. Three possible scenarios, namely, stable, limit cycles and chaos, arise naturally in the flow and thermal dynamics of the device. Two types of fuzzy controllers, each built with an increasing amount of information about the fluid velocity in the system are built and tested. For them, triangular membership functions along with if-then rules are used to stabilize the system dynamics under different conditions of operation. Since the tilt angle for the loop and the heat flux are used as the parameters characterizing its dynamic behavior, these are the manipulated variables, whereas the control variables are average fluid velocity and temperatures inside the loop. MATLAB is used to implement the fuzzy controller, along with the corresponding control actions, while numerical experiments are conducted to assess its relative performance. Results demonstrate that all fuzzy controllers can effectively stabilize the thermosyphon system. However, as more information about the system is supplied to the controller the better it performs.