Nonlinear control of ventilation rate using state dependent parameter models

Stables, M. A. and Taylor, C. James (2006) Nonlinear control of ventilation rate using state dependent parameter models. Biosystems Engineering, 95 (1). pp. 7-18. ISSN 1537-5110

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The objective of this paper is to develop non-linear proportional-integral-plus (PIP) control algorithms for regulating ventilation rate in mechanically ventilated agricultural buildings. State-dependent parameter (SDP) models are developed for an environmental test chamber, representing a section of a livestock building or glasshouse. Here, the system is modelled using the quasi-linear SDP model structure in which the parameters are functionally dependent on other variables in the system. The model is subsequently utilised to develop a new approach to control system design, based on non-linear PIP pole assignment, with a discrete-time Smith Predictor to handle the sampled time delays. Implementation results for the test chamber demonstrate improved control of ventilation rate, with a faster response to disturbances in comparison with both linear and conventional (linearised) scheduled PIP control. The approach has application to a wide class of other non-linear systems, as demonstrated by simulation examples.

Item Type: Journal Article
Journal or Publication Title: Biosystems Engineering
Uncontrolled Keywords: /dk/atira/pure/researchoutput/libraryofcongress/ta
Departments: Faculty of Science and Technology > Engineering
Faculty of Science and Technology > Physics
ID Code: 8147
Deposited By: Mr Richard Ingham
Deposited On: 11 Apr 2008 10:49
Refereed?: Yes
Published?: Published
Last Modified: 30 Jul 2019 00:51

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