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.
Original language | Danish |
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Title of host publication | 42nd IEEE Conference on Decision and Control 2003, Maui, Hawaii |
Publication date | 2003 |
Pages | 6553-6558 |
DOIs | |
Publication status | Published - 2003 |
Event | Multi-dimensional Gain Scheduling with Application to Power Plant Control - Duration: 19 May 2010 → … |
Conference
Conference | Multi-dimensional Gain Scheduling with Application to Power Plant Control |
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Period | 19/05/2010 → … |