Abstract
This paper presents the so called Direct Feedback Linearization (DFL) technique as a simple and flexible method for nonlinear control design. The DFL avoids the complexity of the well known differential geometric method, instead it uses Implicit Function Theorem (IFT) to eliminate system nonlinearities. This allows more flexibility in the exact linearization steps. To consider the effect of plant parametric uncertainties, robust control theory is used to ensure the stability of the DFL compensated system. As an example application, four different robust nonlinear excitation controllers are designed and compared to enhance transient stability of power systems. The main advantage of the proposed technique is the possibility for a control engineer to choose the most appropriate performance enhancing nonlinear compensating controller based on availability of measurements or required simplicity in the feedback loop design.
| Original language | English |
|---|---|
| Title of host publication | PP and PSC 2009 |
| Subtitle of host publication | 6th IFAC Symposium on Power Plants and Power Systems Control |
| Publisher | Elsevier |
| Pages | 167-172 |
| Number of pages | 6 |
| Volume | 42 |
| Edition | 9 |
| DOIs | |
| Publication status | Published - 2009 |
| Externally published | Yes |
| Event | IFAC Symposium on Power Plants and Power Systems Control 2009 - Tampere, Finland Duration: 6 Jul 2009 → 8 Jul 2009 Conference number: 6th https://www.sciencedirect.com/journal/ifac-proceedings-volumes/vol/42/issue/9 (Proceedings) |
Publication series
| Name | IFAC Proceedings Volumes (IFAC-PapersOnline) |
|---|---|
| Publisher | Elsevier - International Federation of Automatic Control (IFAC) |
| ISSN (Print) | 1474-6670 |
Conference
| Conference | IFAC Symposium on Power Plants and Power Systems Control 2009 |
|---|---|
| Abbreviated title | PP and PSC 2009 |
| Country/Territory | Finland |
| City | Tampere |
| Period | 6/07/09 → 8/07/09 |
| Internet address |
Keywords
- Excitation control
- Feedback control methods
- Feedback Linearization
- Power system control
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