Model extension for model based MIMO control in HVAC systems

Daniel Schwingshackl, Jakob Rehrl, Martin Horn, Julian Belz, Oliver Nelles

Research output: Contribution to journalArticleResearchpeer-review

Abstract

The presented work deals with the multi-input multi-output (MIMO) control of Heating Ventilating and Air Conditioning (HVAC) systems. In previous work a model based control strategy consisting of a linear model predictive control (MPC) and the Local Linear Model Tree (LoLiMoT) algorithm was presented by the authors. The underlying modeling approach is based on a detailed representation of each HVAC system component. However, the dry effect due to residual condensation after a dehumidification period was not taken into account. In literature, this effect is also not considered in sufficient detail to the best knowledge of the authors. In this contribution a model extension including a novel approach regarding the above mentioned dry effect is discussed. The obtained improvements with respect to previous work are demonstrated in simulation as well as on a real world system.

Original languageEnglish
Pages (from-to)224-229
Number of pages6
JournalJournal of Building Engineering
Volume11
DOIs
Publication statusPublished - 1 May 2017

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Keywords

  • Heating ventilating and air conditioning
  • Local linear model tree
  • Model predictive control

ASJC Scopus subject areas

  • Architecture
  • Civil and Structural Engineering
  • Building and Construction
  • Safety, Risk, Reliability and Quality
  • Mechanics of Materials

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