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Adaptive neuro-fuzzy based inferential sensor model for estimating the average air temperature in space heating systems

机译：基于自适应神经模糊的推断传感器模型，用于估算空间加热系统中的平均气温

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摘要

The heating systems are conventionally controlled by open-loop control systems because of the absence of practical methods for estimating average air temperature in the built environment. An inferential sensor model, based on adaptive neuro-fuzzy inference system modeling, for estimating the average air temperature in multi-zone space heating systems is developed. This modeling technique has the advantage of expert knowledge of fuzzy inference systems (FISs) and learning capability of artificial neural networks (ANNs). A hybrid learning algorithm, which combines the least-square method and the back-propagation algorithm, is used to identify the parameters of the network. This paper describes an adaptive network based inferential sensor that can be used to design closed-loop control for space heating systems. The research aims to improve the overall performance of heating systems, in terms of energy efficiency and thermal comfort. The average air temperature results estimated by using the developed model are strongly in agreement with the experimental results.
机译：加热系统通常由开环控制系统控制，因为缺乏估算建筑环境中平均气温的实用方法。建立了基于自适应神经模糊推理系统建模的推理传感器模型，用于估计多区域空间供热系统的平均气温。这种建模技术的优点是具有模糊推理系统（FIS）的专业知识和人工神经网络（ANN）的学习能力。结合最小二乘方法和反向传播算法的混合学习算法用于识别网络参数。本文介绍了一种基于自适应网络的推理传感器，可用于设计空间加热系统的闭环控制。该研究旨在从能源效率和热舒适性方面改善加热系统的整体性能。使用开发的模型估算的平均气温结果与实验结果高度吻合。

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  • 来源
    《Building and Environment》 |2009年第8期|1609-1616|共8页
  • 作者

    S. Jassar; Z. Liao; L. Zhao;

  • 作者单位

    Department of Electrical and Computer Engineering, Ryerson University, 350 Victoria Street, Toronto, ON, Canada M5B2K3;

    Department of Architectural Science, Ryerson University, Canada;

    Department of Electrical and Computer Engineering, Ryerson University, 350 Victoria Street, Toronto, ON, Canada M5B2K3;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    inferential sensing; ANFIS; commissioning; subtractive clustering;

    机译：推理感测ANFIS;调试;减法聚类;

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