Graduate student, Colorado School of Mines, Golden, Colorado.
Design of a tower and drive train damping controller for the three-bladed controls advanced research turbine operating in design-driving load cases†
Article first published online: 9 JAN 2011
Copyright © 2011 John Wiley & Sons, Ltd.
Volume 14, Issue 4, pages 571–601, May 2011
How to Cite
Darrow, J., Johnson, K. and Wright, A. (2011), Design of a tower and drive train damping controller for the three-bladed controls advanced research turbine operating in design-driving load cases. Wind Energ., 14: 571–601. doi: 10.1002/we.443
This work was supported by the US DOE/National Renewable Energy Laboratory under Task Order KXEA-3-33607-33.
- Issue published online: 17 MAY 2011
- Article first published online: 9 JAN 2011
- Manuscript Accepted: 28 OCT 2010
- Manuscript Revised: 4 AUG 2010
- Manuscript Received: 13 NOV 2009
- control systems;
- load reduction;
- design standards
Wind turbines experience both fatigue and extreme loading, and individual components of a wind turbine are affected differently by these loads. The current practice to achieve the typical 20 year design life is to build a turbine with robust components that can withstand fatigue and extreme loads for this duration. Unfortunately, overbuilding of components may lead to higher-than-necessary initial capital costs. In this research, we studied design-driving load cases and designed advanced control algorithms aimed at enabling a decrease in initial capital cost. Our approach used a subset of a full International Electrotechnical Commission loads case analysis and selected major components experiencing design-driving extreme loads that can be alleviated using advanced control. We first describe the results from the loads case analysis and then discuss the components on which we focused the advanced control design. We next describe the controller design and finally compare the results from the advanced controller simulations with those using a baseline controller. The baseline consists of a nonlinear torque controller below rated wind speed and a proportional-integral-derivative-like controller above rated and the advanced controller uses proportional feedback and state-space design to reduce tower bending and drive train torsional loads. Copyright © 2011 John Wiley & Sons, Ltd.