Optimal Output Feedback H∞ Torque Control of a Wind Turbine Rotor using a Parametrically Scheduled Model
- 1Colorado School of Mines Golden, CO 80401
- 2University of Colorado Boulder, CO 80309
- 3University of Virginia, VA 22904
- 1Colorado School of Mines Golden, CO 80401
- 2University of Colorado Boulder, CO 80309
- 3University of Virginia, VA 22904
Abstract. Wind turbines are nonlinear, time-varying systems that are subject and sensitive to model parameter variations and a stochastic wind field. For such applications, Linear Parameter Varying (LPV) control provides a state-space approach to designing nonlinear controllers with robust performance. LPV uses multi-input multi-output (MIMO) model with a guaranteed limit on the exogenous disturbance's gain with respect to performance signals. A robust matrix inequality synthesis of an H∞ based performance LPV controller using a parametrically varying model will be developed with the goal of obtaining a torque controller with drive-train damping properties. The technique guarantees a-priori performance values and closed-loop stability for the simplified model, and provides a systematic tuning procedure to adjust controller performance.
Dana Martin et al.


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RC1: 'Partial review of manuscript "Optimal Output Feedback H_inf Torque Control of a Wind Turbine Rotor using a Parametrically Scheduled Model"', Anonymous Referee #1, 22 May 2018
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AC1: 'AC1', Dana Martin, 11 Aug 2018
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AC1: 'AC1', Dana Martin, 11 Aug 2018
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RC2: 'RC', Anonymous Referee #2, 23 May 2018
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AC2: 'AC2', Dana Martin, 11 Aug 2018
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AC2: 'AC2', Dana Martin, 11 Aug 2018


-
RC1: 'Partial review of manuscript "Optimal Output Feedback H_inf Torque Control of a Wind Turbine Rotor using a Parametrically Scheduled Model"', Anonymous Referee #1, 22 May 2018
-
AC1: 'AC1', Dana Martin, 11 Aug 2018
-
AC1: 'AC1', Dana Martin, 11 Aug 2018
-
RC2: 'RC', Anonymous Referee #2, 23 May 2018
-
AC2: 'AC2', Dana Martin, 11 Aug 2018
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AC2: 'AC2', Dana Martin, 11 Aug 2018
Dana Martin et al.
Dana Martin et al.
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