论文信息 - Performance improvement of indoor air temperature through state feedback decoupling, genetic algorithm; A study with LonWorks™ fieldbus

Performance improvement of indoor air temperature through state feedback decoupling, genetic algorithm; A study with LonWorks™ fieldbus

Because variable air volume (VAV) air conditioning system has the feature of intense coupling among multi-loops, supply air temperature cannot follow the set-point value closely. Therefore, the precision and performance of indoor air temperature of VAV air conditioning system is influenced. In this paper, precision and performance of indoor air temperature of VAV system are highly improved through state feedback decoupling and genetic algorithm. The coupling between loop of supply air temperature and loop of indoor air temperature is eliminated in the method of state feedback decoupling. Besides, the controller parameters are optimized by means of inverse and genetic algorithm. LonWorks technology is adopted in VAV air-conditioning decoupling control system so that data can be exchanged among multi-loops. The experimental results show that performance of indoor air temperature of VAV system is improved effectively.

Yan Wang | Huihe Shao | Jun Wang

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