About this item
- Title
- Simulating feedback linearization control of wind turbines using high-order models
- Content partner
- The University of Auckland Library
- Collection
- ResearchSpace@Auckland
- Description
As wind turbines are becoming larger, wind turbine control must now encompass load control objectives as well as power and speed control to achieve a low cost of energy. Due to the inherent non-linearities in a wind turbine system, the use of non-linear model-based controllers has the potential to increase control performance. A non-linear feedback linearization controller with an Extended Kalman Filter is successfully used to control a FAST model of the controls advanced research turbine wit...
- Format
- Research paper
- Research format
- Journal article
- Date created
- 2010
- Creator
- Kumar, Avishek / Stol, Karl
- URL
- http://hdl.handle.net/2292/9477
- Related subjects
- Control / Feedback linearization / Load reduction / Mimo / Pitch / Wind turbine / Control feedback / Control performance / Controller designs / Controls advanced research turbines / Equivalent load / FAST model / Feedback linearization control / Feedback linearization controllers / High-order / In-control / Linear quadratic regulator / Load control / Low costs / Low speed / Non-linear / Non-linear model / Nonlinearities / Power regulation / Proportional integral controllers / Rotor speed / Speed regulation / Train dynamics / Unmodeled dynamics / Wind conditions / Wind speed / Wind turbine control / Wind turbine systems / Controllers / Energy policy / Fatigue damage / Speed / Turbomachine blades / Wind power / Wind turbines / control system / cost-benefit analysis / Kalman filter / numerical model / power generation / velocity profile / wind power / wind profile / wind turbine / wind velocity
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Report this itemDigitalNZ brings together more than 30 million items from institutions so that they are easy to find and use. This information is the best information we could find on this item. This item was added on 22 April 2012, and updated 18 August 2023.
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