A DIFFERENTIAL DISCRETE PARTICLE SWARM OPTIMIZATION APPROACH TO MODEL PREDICTIVE CONTROL OF BUILDING TEMPERATURE |
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| Pasquale Arpaia, Francesco Donnarumma, Carlo Manna |
- Abstract:
- A differential discrete particle swarm optimization method, aimed at designing a predictive air temperature controller for civil buildings, is presented. The predictive control allows the controller outputs to be computed in order to optimise the future behaviour for a heating/cooling plant in a building, regarding set-point tracking and control effort minimization to save energy. The controller is able to predict the building environmental conditions over a specified time interval, thus mathematical models describing the indoor building climate, as well as predicting the outside weather, are used. In this paper, the proposed design method is compared with a standard particle swarm algorithm, and preliminary experimental results are discussed.
- Download:
- IMEKO-TC4-2010-095.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC4
- Event name:
- Instrumentation for the Information and Communication Technology Era
- Title:
- XVIIth IMEKO TC4 Symposium & 15th International Workshop on ADC Modelling and Testing (together with 3rd IMEKO TC19 Symposium)
- Place:
- Kosice, SLOVAKIA
- Time:
- 08 September 2010 - 10 September 2010