Taylor, C. James and Stables, M. A. (2006) Nonlinear control of ventilation rate using state dependent parameter models. Biosystems Engineering, 95 (1). pp. 7-18. ISSN 1537-5110Full text not available from this repository.
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.
|Journal or Publication Title:||Biosystems Engineering|
|Uncontrolled Keywords:||Non-linear ; state-dependent parameter ; ventilation rate ; proportional-integral-plus|
|Subjects:||T Technology > TA Engineering (General). Civil engineering (General)|
|Departments:||Faculty of Science and Technology > Engineering|
Faculty of Science and Technology > Physics
|Deposited By:||Mr Richard Ingham|
|Deposited On:||11 Apr 2008 11:49|
|Last Modified:||29 Mar 2017 03:38|
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