Patents by Inventor Keld Hammerum

Keld Hammerum has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20200318614
    Abstract: A wind turbine control unit comprising a control module configured to control an actuator system by outputting a first control signal, wherein the first control signal includes a current control sample value and a predicted control trajectory; the control unit further comprising an upsampling module configured to receive the first control signal from the control module, and to output a second control signal for controlling the actuator system, the second control signal having a higher frequency that the first control signal. The upsampling module calculates the second control signal in dependence on the current control sample value and the predicted control trajectory. The embodiments provide a more accurately reproduced control signal at a higher frequency that is suitable for onward processing which does not suffer from the problems of aliasing and delay that exist with conventional upsampling techniques.
    Type: Application
    Filed: May 22, 2017
    Publication date: October 8, 2020
    Inventors: Tobias Gybel HOVGAARD, Keld HAMMERUM, Kasper ZINCK
  • Patent number: 10697431
    Abstract: The present invention relates to control of wind turbines where a noise measure is taken into account. Control of a wind turbine is described where a control trajectory is calculated based on noise measure, the noise measure being determined from a predicted operational trajectory. In embodiments the predicted operational trajectories are calculated by using a model predictive control (MPC) routine.
    Type: Grant
    Filed: April 3, 2017
    Date of Patent: June 30, 2020
    Assignee: VESTAS WIND SYSTEMS A/S
    Inventors: Keld Hammerum, Tobias Gybel Hovgaard, Erik Sloth
  • Patent number: 10683844
    Abstract: The present invention relates to control of wind turbines where a fatigue load measure is taken into account. Control of a wind turbine is described where a control trajectory is calculated based on a fatigue load measure, the fatigue load measure being determined from a predicted operational trajectory. In embodiments the predicted operational trajectories are calculated by using a model predictive control (MPC) routine, and the fatigue load measure includes a rainflow count algorithm.
    Type: Grant
    Filed: May 24, 2016
    Date of Patent: June 16, 2020
    Assignee: VESTAS WIND SYSTEMS A/S
    Inventors: Keld Hammerum, Tobias Gybel Hovgaard
  • Publication number: 20200088165
    Abstract: A wind turbine comprising a tower, a nacelle, a rotor including a plurality of blades, an electrical generator operatively coupled to the rotor, and a control system. The control system comprises: a sensing system operable to output a signal indicative of the torsional oscillation frequency of the nacelle; a torsional damping module configured to monitor the torsional oscillation signal and to determine one or more blade pitch command signals for damping the torsional oscillation of the tower, and a filter module configured to receive the one or more blade pitch command signals as inputs and to output a respective one or more modified blade pitch command signals, wherein the filter module is configured to filter the one or more blade pitch command input signals to exclude frequency components greater than the torsional oscillation frequency. Aspects of the invention also relate to a method, a computer program software product and a controller for implementing the method.
    Type: Application
    Filed: March 20, 2018
    Publication date: March 19, 2020
    Inventors: Thomas S. Bjertrup NIELSEN, Fabio CAPONETTI, Keld HAMMERUM
  • Patent number: 10465659
    Abstract: The present disclosure relates to a control system for a wind turbine comprising more controllers and where at least some of the controllers operate at different sample frequencies. The control system comprises at least two controller units, a first controller (10) for determining an operational value (OV) of a sub-system and a second controller (20) for the sub-system. The second controller operates at a higher sample frequency than the first controller. It is disclosed that a faster reaction to a received demand value (V1), received for controlling the sub-system, can be obtained by setting the operational value (OV) of the sub-system as the sum of an internal operational value (V5) and a difference value (V4).
    Type: Grant
    Filed: September 27, 2016
    Date of Patent: November 5, 2019
    Assignee: VESTAS WIND SYSTEMS A/S
    Inventors: Keld Hammerum, Martin Ansbjerg Kjær, Jesper Sandberg Thomsen, Eik Herbsleb, Tobias Gybel Hovgaard
  • Patent number: 10344740
    Abstract: A method of detecting a fault mode of a sensor is provided. The sensor may be, for example, a bending moment sensor and may sense a bending moment of a blade on a wind turbine generator (WTG). The method includes comparing data output by a first sensor with reference data indicating what is expected to be output by the first sensor to produce a first comparison result and comparing data output by the first sensor with data output by a second sensor to produce a second comparison result. A determination of whether the first sensor has entered a fault mode is made based at least in part on the first and second comparison results.
    Type: Grant
    Filed: September 19, 2016
    Date of Patent: July 9, 2019
    Assignee: VESTAS WIND SYSTEMS A/S
    Inventors: Fabio Caponetti, Per Brath, Keld Hammerum, Johnny Nielsen
  • Publication number: 20190203692
    Abstract: A method is provided for controlling the shutdown of a wind turbine of the type having a rotor, the rotor comprising one or more wind turbine blades. The method comprises dynamically determining a rotor speed reference; obtaining a measure of the rotor speed of the rotor; determining an error between the rotor speed reference and the rotor speed of the rotor; and controlling a pitch of one or more of the wind turbine blades based on the determined error. A corresponding wind turbine controller and a wind turbine including such a controller are also provided.
    Type: Application
    Filed: August 14, 2017
    Publication date: July 4, 2019
    Inventors: Fabio CAPONETTI, Keld HAMMERUM, Jesper Lykkegaard NEUBAUER
  • Publication number: 20190203695
    Abstract: The present invention relates to control of wind turbines in a situation where a fault condition is detected. Control of a wind turbine is described where a control trajectory and a safe-mode trajectory are calculated based on the current operational state of the wind turbine. If the fault condition is detected the wind turbine is controlled using the safe-mode trajectory, otherwise, the normal operation of the wind turbine is continued where the wind turbine is controlled using the control trajectory.
    Type: Application
    Filed: March 8, 2019
    Publication date: July 4, 2019
    Inventors: Keld HAMMERUM, Tobias Gybel HOVGAARD
  • Patent number: 10337497
    Abstract: The present invention relates to control of wind turbines based on predicted operational trajectories. A control system for a wind turbine is described where a main controller calculating one or more predicted operational trajectories and a safety controller validates at least one of the one or more predicted operational trajectories. The control system controls the wind turbine with the predicted control trajectory if the validation is valid, and controls the wind turbine with a safe-mode control trajectory if the validation is invalid. In an embodiment, the main controller is implemented as a receding horizon controller, e.g. in the form of a model predictive controller (MPC).
    Type: Grant
    Filed: August 14, 2015
    Date of Patent: July 2, 2019
    Assignee: VESTAS WIND SYSTEMS A/S
    Inventors: Keld Hammerum, Tobias Gybel Hovgaard, David Steele
  • Publication number: 20190154000
    Abstract: The present invention relates to control of wind turbines where a noise measure is taken into account. Control of a wind turbine is described where a control trajectory is calculated based on noise measure, the noise measure being determined from a predicted operational trajectory. In embodiments the predicted operational trajectories are calculated by using a model predictive control (MPC) routine.
    Type: Application
    Filed: April 3, 2017
    Publication date: May 23, 2019
    Inventors: Keld HAMMERUM, Tobias Gybel HOVGAARD, Erik SLOTH
  • Patent number: 10267291
    Abstract: The present invention relates to control of wind turbines in a situation where a fault condition is detected. Control of a wind turbine is described where a control trajectory and a safe-mode trajectory are calculated based on the current operational state of the wind turbine. If the fault condition is detected the wind turbine is controlled using the safe-mode trajectory, otherwise, the normal operation of the wind turbine is continued where the wind turbine is controlled using the control trajectory.
    Type: Grant
    Filed: August 14, 2015
    Date of Patent: April 23, 2019
    Assignee: VESTAS WIND SYSTEMS A/S
    Inventors: Keld Hammerum, Tobias Gybel Hovgaard
  • Publication number: 20190072071
    Abstract: The present invention relates to control of a wind turbine, and in particular it relates to a distributed control system including a blade controller for each blade of the wind turbine. The electrical connection between each blade controller and the power supply of the blade controller is arranged to be functionally isolated from the electrical connection of each other blade controller and the power supply of the respective blade controllers.
    Type: Application
    Filed: February 8, 2017
    Publication date: March 7, 2019
    Inventors: Keld HAMMERUM, John BENGTSON
  • Publication number: 20190048849
    Abstract: A method of controlling a wind turbine is described. The method comprises calculating a current wear rate for each of the main bearing of a turbine rotor and the blade bearings of rotor blades mounted on the turbine rotor, and calculating a blade pitch adjustment of the rotor blades to achieved a desired ratio between main bearing wear and blade bearing wear in dependence on the calculated current wear rates of the main bearing and the blade bearings.
    Type: Application
    Filed: February 10, 2017
    Publication date: February 14, 2019
    Applicant: Vestas Wind Systems A/S
    Inventors: Jacob Deleuran GRUNNET, Damien CASTAIGNET, Keld HAMMERUM, Kasper ZINCK
  • Publication number: 20180283354
    Abstract: The present disclosure relates to a control system for a wind turbine comprising more controllers and where at least some of the controllers operate at different sample frequencies. The control system comprises at least two controller units, a first controller (10) for determining an operational value (OV) of a sub-system and a second controller (20) for the sub-system. The second controller operates at a higher sample frequency than the first controller. It is disclosed that a faster reaction to a received demand value (V1), received for controlling the sub-system, can be obtained by setting the operational value (OV) of the sub-system as the sum of an internal operational value (V5) and a difference value (V4).
    Type: Application
    Filed: September 27, 2016
    Publication date: October 4, 2018
    Applicant: VESTAS WIND SYSTEMS A/S
    Inventors: Keld HAMMERUM, Martin Ansbjerg KJÆR, Jesper Sandberg THOMSEN, Eik HERBSLEB, Tobias Gybel HOVGAARD
  • Patent number: 10030630
    Abstract: A method for controlling a wind turbine during shutdown is disclosed, said wind turbine comprising a rotor carrying at least three wind turbine blades adapted to be pitched individually. A first shutdown strategy is initially selected, and subsequently a second shutdown strategy is selected, the second shutdown strategy ensuring alignment of the pitch angles of the wind turbine blades. The time for switching from the first shutdown strategy to the second shutdown strategy is calculated on the basis of a misalignment of the pitch angles, and in order to align the pitch angles before an estimated point in time where the pitch angles must be aligned, in order to avoid excessive asymmetric loads on the wind turbine blades and/or on the rotor. According to an alternative embodiment, the first shutdown strategy includes moving the wind turbine blades towards a feathered position at identical pitch rates.
    Type: Grant
    Filed: April 22, 2014
    Date of Patent: July 24, 2018
    Assignee: VESTAS WIND SYSTEMS A/S
    Inventor: Keld Hammerum
  • Publication number: 20180142674
    Abstract: The present invention relates to control of wind turbines where a fatigue load measure is taken into account. Control of a wind turbine is described where a control trajectory is calculated based on a fatigue load measure, the fatigue load measure being determined from a predicted operational trajectory. In embodiments the predicted operational trajectories are calculated by using a model predictive control (MPC) routine, and the fatigue load measure includes a rainflow count algorithm.
    Type: Application
    Filed: May 24, 2016
    Publication date: May 24, 2018
    Inventors: Keld HAMMERUM, Tobias Gybel HOVGAARD
  • Patent number: 9909569
    Abstract: The preset invention relates to wind turbines and, in particular inclining a wind turbine from the vertical position. A tower (102) of a wind turbine may be inclined from the vertical position in order to reduce the loads on the tower (102).
    Type: Grant
    Filed: July 26, 2013
    Date of Patent: March 6, 2018
    Assignee: VESTAS WIND SYSTEMS A/S
    Inventors: Keld Hammerum, Elk Herbsleb, Lars Finn Sloth Larsen, Fabio Caponetti
  • Patent number: 9810199
    Abstract: A shutdown controller for a wind turbine comprises, to improve the estimation of a state of the wind turbine, at least two sensors being adapted to provide sensor data significant for different mechanical states in the wind turbine. The controller can provide an estimated state of the wind turbine based on the sensor data from the at least two sensors and compare the state of the wind turbine with a predefined detection limit to provide a shutdown signal if the estimated state is outside the detection limit.
    Type: Grant
    Filed: November 21, 2012
    Date of Patent: November 7, 2017
    Assignee: VESTAS WIND SYSTEMS A/S
    Inventor: Keld Hammerum
  • Publication number: 20170248124
    Abstract: The present invention relates tocontrol of wind turbines based on predicted operational trajectories. A control system for a wind turbineis described wherea main controller calculating one or more predicted operational trajectories and a safety controller validates at least one of the one or more predicted operational trajectories. The control system controls the wind turbine with the predicted control trajectory if the validation is valid, and controls the wind turbine with a safe-mode control trajectory if the validation is invalid. In an embodiment, the main controller is implemented as a receding horizon controller, e.g. in the form of a model predictive controller (MPC).
    Type: Application
    Filed: August 14, 2015
    Publication date: August 31, 2017
    Applicant: VESTAS WIND SYSTEMS A/S
    Inventors: Keld HAMMERUM, Tobias Gybel HOVGAARD, David STEELE
  • Publication number: 20170226989
    Abstract: The present invention relates to control of wind turbines in a situation where a fault condition is detected. Control of a wind turbine is described where a control trajectory and a safe-mode trajectory are calculated based on the current operational state of the wind turbine. If the fault condition is detected the wind turbine is controlled using the safe-mode trajectory, otherwise, the normal operation of the wind turbine is continued where the wind turbine is controlled using the control trajectory.
    Type: Application
    Filed: August 14, 2015
    Publication date: August 10, 2017
    Inventors: Keld HAMMERUM, Tobias Gybel HOVGAARD