Adaptive fuzzy temperature control for hydronic heating systems

Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328) Pub Date : 1999-08-22 DOI:10.1109/CCA.1999.806711

C. Haissig

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引用次数: 30

Abstract

This paper describes an innovative adaptive fuzzy control (AFC) algorithm for regulating the room temperature in a hydronic heating system. The hydronic heating system consists of a boiler that provides central heating water to a radiator or radiators in a home or apartment. Room temperature is regulated with a motor that drives a variable-position valve on each radiator that controls the flow of hot water through the radiator. The AFC automatically learns the steady-state radiator valve positions for five operating set points and uses this information in a fuzzy controller that commands the radiator valve position. Laboratory tests under typical operating conditions show that the AFC simultaneously improves the control quality while reducing the battery consumption when compared with a conventional proportional-integral (PI) feedback controller. For a 70-hour laboratory test with typical operating set points, the control quality increased 32% while the estimated battery consumption decreased 35%. The AFC's memory and processing requirements are suitable for embedded microprocessors, so it is a realistic replacement for a conventional PID algorithm.

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水力供热系统的自适应模糊温度控制

本文提出了一种新颖的自适应模糊控制(AFC)算法，用于调节水力加热系统中的室温。水力加热系统由一个锅炉组成，锅炉向家庭或公寓中的散热器或散热器提供集中加热水。房间的温度由一个电机调节，该电机驱动每个散热器上的可变位置阀，控制通过散热器的热水流量。AFC自动学习五个操作设定点的稳态散热器阀位置，并在模糊控制器中使用该信息来命令散热器阀位置。在典型工作条件下的实验室测试表明，与传统的比例积分(PI)反馈控制器相比，AFC在提高控制质量的同时降低了电池消耗。在典型操作设定点的70小时实验室测试中，控制质量提高了32%，而估计电池消耗降低了35%。AFC的内存和处理要求适合嵌入式微处理器，因此它是传统PID算法的现实替代品。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328)

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