Abstract
In this paper, a convex optimization approach to controller design is addressed. Specifically, a family of LQR-based controllers namely; LQR with integral action (LQRI) and LQR with disturbance rejection and integral action (LQRI+) are designed for pitch control of wind turbine systems. The LQRI+ incorporates an extra term in the formulation of the LQRI controller to compensate for the effect of disturbance on the system. Both controllers were designed using LMI formalism. To guarantee satisfactory performance including stability and reference tracking across all operating regimes of the turbine, a multi-model approach was employed using linear models obtained at multiple wind speeds designating different operating regions of the turbine. The performance of both controllers were then compared using FAST, an aero-elastic tool and a benchmark NREL 5MW wind turbine developed by the National Renewable Energy Laboratory, USA.
| Original language | English |
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| Title of host publication | Proceedings |
| Subtitle of host publication | IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1735-1740 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509066841 |
| DOIs | |
| State | Published - 26 Dec 2018 |
Publication series
| Name | Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society |
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Bibliographical note
Publisher Copyright:© 2018 IEEE.
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
- Control and Optimization