Share

IIR document

Self-adaptive fuzzy control of air conditioning system based on genetic algorithm.

Author(s) : WANG F. H., YU B. F., WANG Z. G., et al.

Summary

Parameters change of room objects have a great influence on the effect of fuzzy controlled air conditioner. In this paper, self-adaptive fuzzy control of air conditioning system based on genetic algorithms is presented. This method is composed of a new type of mixed parameters identification algorithm and genetic optimizing algorithm of variable population size so that on-line self adjust of scaling factors could be realized. Simulation results prove the effectiveness of this method.

Available documents

Format PDF

Available

  • Public price

    20 €

  • Member price*

    Free

* Best rate depending on membership category (see the detailed benefits of individual and corporate memberships).

Details

  • Original title: Self-adaptive fuzzy control of air conditioning system based on genetic algorithm.
  • Record ID : 2000-1524
  • Languages: English
  • Publication date: 1999/09/19
  • Source: Source: Prepr. 20th int. Congr. Refrig., Sydney
    pap. 631; 7 p.; fig.; 7 ref.

Indexing