Unit of Research in Renewable Energies in the Saharan Medium

Adrar, Algeria

Unit of Research in Renewable Energies in the Saharan Medium

Adrar, Algeria
SEARCH FILTERS
Time filter
Source Type

Necaibia A.,Unit of Research in Renewable Energies in the Saharan Medium | Necaibia A.,Skikda University | Ladaci S.,Polytechnic School of Algiers | Ladaci S.,University of Mentouri Constantine
International Journal of Automation and Control | Year: 2014

Fractional PID (PIλDμ) controllers are not commonly used in industry when compared to classical PID controllers. The main reason is that the fractional controller parameters tuning remains an open problem. In this work we propose to generalise a classical PID tuning method based on extremum seeking (ES) approach to PIλDμ control parameters tuning in order to achieve optimal performance. ES is a non-model-based method which searches online for the parameters that minimise a cost function which is representative of the controller's performance. The main advantage of this method is that it can be applied to a plant in which there is no knowledge of the model. Comparative simulation examples show the effectiveness of the proposed strategy for fractional order PI λDμ tuning. Copyright © 2014 Inderscience Enterprises Ltd.

Loading Unit of Research in Renewable Energies in the Saharan Medium collaborators
Loading Unit of Research in Renewable Energies in the Saharan Medium collaborators