Robust control of room temperature and relative humidity using advanced nonlinear inverse dynamics and evolutionary optimisation

Obadah Samir Zaher, John Counsell, Joseph Brindley

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Abstract

A robust controller is developed, using advanced nonlinear inverse dynamics (NID) controller design and genetic algorithm optimisation, for room temperature control. The performance is evaluated through application to a single zone dynamic building model. The proposed controller produces superior performance when compared to the NID controller optimised with a simple optimisation algorithm, and classical PID control commonly used in the buildings industry. An improved level of thermal comfort is achieved, due to fast and accurate tracking of the setpoints, and energy consumption is shown to be reduced, which in turn means carbon emissions are reduced.
Original languageEnglish
Title of host publicationEvolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems
Subtitle of host publicationProceedings of Eurogen 2011
EditorsC. Poloni, D. Quagliarella, J. Périaux, N. Gauger , K. Giannakoglou
Place of PublicationCapua, Italy
Number of pages11
Publication statusPublished - 14 Sep 2011
EventEurogen 2011 Conference - Capua, Italy
Duration: 14 Sep 201116 Nov 2011

Conference

ConferenceEurogen 2011 Conference
CountryItaly
CityCapua
Period14/09/1116/11/11

Keywords

  • temperature control
  • relative humidity
  • MIMO
  • HVAC
  • BEMS
  • genetic algorithm
  • inverse dynamics
  • robust control

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