Abstract
This paper presents an extension to the classical gradient-based extremum seeking control for the case when the disturbances responsible for changes in the extremum of a selected performance function are available for measurement. Based on these additional measurements, an adaptive extremum seeking disturbance feedforward is designed that approximates the unknown, static mapping between the disturbances and the optimal inputs. For this purpose, orthogonal, multivariate Tchebyshev polynomials are used. The feedforward enables the extremum seeking to be conducted in the proximity of the extremum thus yielding improvements both in terms of accuracy and increased convergence speed compared to the traditional scheme. Simulation results given for a turbine driven electrical generator system demonstrate the benefits of the presented design.
| Original language | English |
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| Title of host publication | Proceedings of the 19th World Congress The International Federation of Automatic Control Cape Town, South Africa. August 24-29, 2014 |
| Publisher | IFAC |
| Pages | 383-388 |
| Number of pages | 6 |
| ISBN (Print) | 9783902823625 |
| Publication status | Published - 2014 |
| Event | 19th World Congress of the International Federation of Automatic Control (IFAC 2014 World Congress) - Cape Town International Convention Centre, Cape Town, South Africa Duration: 24 Aug 2014 → 29 Aug 2014 Conference number: 19 http://www.ifac2014.org |
Conference
| Conference | 19th World Congress of the International Federation of Automatic Control (IFAC 2014 World Congress) |
|---|---|
| Abbreviated title | IFAC 2014 |
| Country/Territory | South Africa |
| City | Cape Town |
| Period | 24/08/14 → 29/08/14 |
| Internet address |
Keywords
- Adaptive algorithms
- Extremum seeking control
- Feedforward control