Model Predictive Control of the Hybrid Ventilation for Livestock

Zhuang Wu, Jakob Stoustrup, Klaus Trangbæk, Per Heiselberg, Martin Riisgaard Jensen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

3 Citations (Scopus)
316 Downloads (Pure)


In this paper, design and simulation results of Model Predictive Control (MPC) strategy for livestock hybrid ventilation systems and associated indoor climate through variable valve openings and exhaust fans are presented. The design is based on thermal comfort parameters for poultry in barns and a dynmaic model describing the nonlinear behaviro of ventilation and associated climate, by applying a so-called conceptual multi-zone method and the conservation of energy and mass. The simulation results illustrate the high potential of MPC in dealing with nonlinearities, handling constraints and performing off-set free tracking. The purpose of this paper is to apply MPC taking into account of the random disturbances from animals and weather condition to calculate the optimal ventilation rate and air flow distribution and the prediction of indoor horizontal variation of temperature through an optimum energy approach.
Original languageEnglish
Title of host publication45th IEEE Conference on Decision and Control Proceedings
Number of pages6
PublisherElectrical Engineering/Electronics, Computer, Communications and Information Technology Association
Publication date2006
ISBN (Print)1424401712
Publication statusPublished - 2006
Event45th IEEE Conference on Decision and Control (CDC) - San Diego, United States
Duration: 13 Dec 200615 Dec 2006
Conference number: 45


Conference45th IEEE Conference on Decision and Control (CDC)
CountryUnited States
CitySan Diego


  • Model Predictive Control
  • Hybrid Ventilation
  • Thermal Comfort

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