Lees, M. J. and Young, P. C. and Chotai, A. and Tych, W. (1995) A non-minimal state variable feedback approach to multivariable control of glasshouse climate. Transactions of the Institute of Measurement and Control, 17 (4). pp. 200-211.
Full text not available from this repository.Abstract
The paper discusses the multivariable modelling and control of a glasshouse micro-climate. A linear reduced-order control model is obtained from a nonlinear simulation model using novel data-based model reduction and linearisation techniques. This control model is then used to design two multivariable non-minimal state variable feedback (SVF) control systems. The first utilises an LQoptimal Proportional-Integral-Plus (PIP) design method incorporating multi-objective optimisation of the weighting matrices, achieving partial dynamic decoupling; while the second uses an algebraic approach to combined pole-assignment and full dynamic decoupling. These controllers are evaluated, to ensure robustness, using the nonlinear simulation model, prior to implementation and evaluation on the real glasshouse during the 1993-94 winter growing season. Control results are excellent with very tight control to the desired setpoints in all three climate variables. For example, air temperature is controlled to within 0.5°C of the setpoint for 85% of the validation period, and is shown to be very robust to model uncertainty and extreme weather conditions.
| Item Type: | Article |
|---|---|
| Journal or Publication Title: | Transactions of the Institute of Measurement and Control |
| Uncontrolled Keywords: | Non-minimal • state variable • feedback • multivariable control • glasshouse climate |
| Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences |
| Departments: | Faculty of Science and Technology > Lancaster Environment Centre |
| ID Code: | 22294 |
| Deposited By: | ep_ss_importer |
| Deposited On: | 06 Feb 2009 13:12 |
| Refereed?: | No |
| Published?: | Published |
| Last Modified: | 26 Jul 2012 15:59 |
| Identification Number: | |
| URI: | http://eprints.lancs.ac.uk/id/eprint/22294 |
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