Moving horizon control and estimation of livestock ventilation systems and indoor climate

Zhuang Wu, Jakob Stoustrup, John Bagterp Jørgensen

Research output: Contribution to journalConference article in JournalResearchpeer-review

1 Citation (Scopus)
336 Downloads (Pure)

Abstract

In this paper, a new control strategy involves exploiting actuator redundancy in a multivariable system is developed for rejecting the covariance of the fast frequency disturbances and pursuing optimum energy solution. This strategy enhances the resilience of the control system to disturbances beyond its bandwidth and reduce energy consumption through on-line optimization computation. The moving horizon estimation and control (also called predictive control) technology is applied and simulated. The design is based on a coupled mathematical model which combines the hybrid ventilation system and the associated indoor climate for poultry in barns. The comparative simulation results illustrate the significant potential and advancement of the moving horizon methodologies in estimation and control for nonlinear Multiple Input and Multiple Output system with unknown noise covariance and actuator saturation.
Original languageEnglish
Book seriesElsevier IFAC Publications / IFAC Proceedings series
Issue number1
ISSN1474-6670
Publication statusPublished - 2008
Event17th IFAC World Congress - Seoul, Korea, Republic of
Duration: 6 Jul 200811 Jul 2008
Conference number: 17

Conference

Conference17th IFAC World Congress
Number17
CountryKorea, Republic of
CitySeoul
Period06/07/200811/07/2008

Fingerprint

Agriculture
Ventilation
Actuators
Poultry
Multivariable systems
Redundancy
Energy utilization
Mathematical models
Bandwidth
Control systems

Cite this

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title = "Moving horizon control and estimation of livestock ventilation systems and indoor climate",
abstract = "In this paper, a new control strategy involves exploiting actuator redundancy in a multivariable system is developed for rejecting the covariance of the fast frequency disturbances and pursuing optimum energy solution. This strategy enhances the resilience of the control system to disturbances beyond its bandwidth and reduce energy consumption through on-line optimization computation. The moving horizon estimation and control (also called predictive control) technology is applied and simulated. The design is based on a coupled mathematical model which combines the hybrid ventilation system and the associated indoor climate for poultry in barns. The comparative simulation results illustrate the significant potential and advancement of the moving horizon methodologies in estimation and control for nonlinear Multiple Input and Multiple Output system with unknown noise covariance and actuator saturation.",
author = "Zhuang Wu and Jakob Stoustrup and J{\o}rgensen, {John Bagterp}",
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year = "2008",
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Moving horizon control and estimation of livestock ventilation systems and indoor climate. / Wu, Zhuang; Stoustrup, Jakob; Jørgensen, John Bagterp.

In: Elsevier IFAC Publications / IFAC Proceedings series, No. 1, 2008.

Research output: Contribution to journalConference article in JournalResearchpeer-review

TY - GEN

T1 - Moving horizon control and estimation of livestock ventilation systems and indoor climate

AU - Wu, Zhuang

AU - Stoustrup, Jakob

AU - Jørgensen, John Bagterp

N1 - Volumne: 17

PY - 2008

Y1 - 2008

N2 - In this paper, a new control strategy involves exploiting actuator redundancy in a multivariable system is developed for rejecting the covariance of the fast frequency disturbances and pursuing optimum energy solution. This strategy enhances the resilience of the control system to disturbances beyond its bandwidth and reduce energy consumption through on-line optimization computation. The moving horizon estimation and control (also called predictive control) technology is applied and simulated. The design is based on a coupled mathematical model which combines the hybrid ventilation system and the associated indoor climate for poultry in barns. The comparative simulation results illustrate the significant potential and advancement of the moving horizon methodologies in estimation and control for nonlinear Multiple Input and Multiple Output system with unknown noise covariance and actuator saturation.

AB - In this paper, a new control strategy involves exploiting actuator redundancy in a multivariable system is developed for rejecting the covariance of the fast frequency disturbances and pursuing optimum energy solution. This strategy enhances the resilience of the control system to disturbances beyond its bandwidth and reduce energy consumption through on-line optimization computation. The moving horizon estimation and control (also called predictive control) technology is applied and simulated. The design is based on a coupled mathematical model which combines the hybrid ventilation system and the associated indoor climate for poultry in barns. The comparative simulation results illustrate the significant potential and advancement of the moving horizon methodologies in estimation and control for nonlinear Multiple Input and Multiple Output system with unknown noise covariance and actuator saturation.

M3 - Conference article in Journal

JO - I F A C Workshop Series

JF - I F A C Workshop Series

SN - 1474-6670

IS - 1

ER -