Optimal Predictive Control for Staged Heating and Ventilating Systems

Greenhouse and livestock heating, ventilation, and air-conditioning systems are challenging to synthesize due to the fact that classical control synthesis and analysis tools cannot be applied. The discontinuous nature of the control signals has been tackled in the past using either approximating des...

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Bibliographic Details
Published in:International journal of modelling & simulation 2004-01, Vol.24 (4), p.211-215
Main Authors: Kookos, I.K., Syrcos, G.
Format: Article
Language:English
Subjects:
Applied sciences
Computer science
control theory
systems
Control system synthesis
Control theory. Systems
Exact sciences and technology
Greenhouse heating
livestock heating
MILP
predictive control
Simulation
Software
staged heating
staged ventilation
Online Access:Get full text
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Description
Summary:Greenhouse and livestock heating, ventilation, and air-conditioning systems are challenging to synthesize due to the fact that classical control synthesis and analysis tools cannot be applied. The discontinuous nature of the control signals has been tackled in the past using either approximating designs or rule-based and fuzzy control systems. This article presents a new methodology where an optimal predictive control law is employed to solve this interesting and challenging controller synthesis problem. The control signal is implicitly determined through the solution of a small-scale mixed-integer optimization problem. Simulation results demonstrate the effectiveness of the proposed control scheme.
ISSN:0228-6203
1925-7082
DOI:10.1080/02286203.2004.11442305