Abstract
This paper deals with gain scheduling control of a power plant model, which is an example of a multi-dimensional nonlinear system. Linear observer-based controllers are designed for a number of linear approximations of the system model in a set of operating points, and gain-scheduling control can subsequently be achieved by interpolating between each controller. We use the Youla-Jabr-Bongiorno-Kucera parameterization to achieve a smooth scheduling between the controllers. However, for multi-dimensional systems it is often not straightforward to obtain appropriate scheduling parameters. To address this issue, we propose a systematic approach to scheduling between controllers using multiple scheduling parameters. The approach is tested on a simple, but highly nonlinear model of a coal-fired power plant.
Originalsprog | Dansk |
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Titel | 42nd IEEE Conference on Decision and Control 2003, Maui, Hawaii |
Publikationsdato | 2003 |
Sider | 6553-6558 |
DOI | |
Status | Udgivet - 2003 |
Begivenhed | Multi-dimensional Gain Scheduling with Application to Power Plant Control - Varighed: 19 maj 2010 → … |
Konference
Konference | Multi-dimensional Gain Scheduling with Application to Power Plant Control |
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Periode | 19/05/2010 → … |