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Self-learning fuzzy air handling system controller.

Author(s) : SO A. T. P., CHAN W. L., TSE W. L.

Type of article: Article

Summary

The variable air volume system is widely used everywhere around the world for energy conservation. Proportional-integral-differential control for air handling units is simple and straight-forward but static fuzzy control is very often more robust, more energy efficient and faster in responding to changes due to executing expert knowledge. However, air handling units control is highly dynamic. The static fuzzy rules are quite general in nature. They cannot be effective and optimal for all operating conditions because they are based on linguistic rules suggested by human experts. A new self-learning fuzzy controller has been designed in which the control policy is adaptable to changes in the control process and the environment. The controller can therefore always be operating at its optimal settings.

Details

  • Original title: Self-learning fuzzy air handling system controller.
  • Record ID : 1998-1166
  • Languages: English
  • Source: Build. Serv. Eng. Res. Technol. - vol. 18 - n. 2
  • Publication date: 1997
  • Document available for consultation in the library of the IIR headquarters only.

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