Patents by Inventor Alexander Hentschel

Alexander Hentschel 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).

  • Patent number: 11340564
    Abstract: In order to control a technical system, a system state of the technical system is continually detected. By a trained first control model, a subsequent state of the technical system is predicted on the basis of a sensed system state. Then, a distance value is determined for a distance between the predicted subsequent state and an actually occurring system state. Furthermore, a second control model is trained by the trained first control model to predict the distance value on the basis of a sensed system state and on the basis of a control action for controlling the technical system. A subsequent state predicted by the first control model is then modified on the basis of a distance value predicted by the trained second control model. The modified subsequent state is output in order to control the technical system.
    Type: Grant
    Filed: December 5, 2017
    Date of Patent: May 24, 2022
    Inventors: Alexander Hentschel, Steffen Udluft, Clemens Otte
  • Publication number: 20210363969
    Abstract: Provided is an apparatus and method for cooperative controlling wind turbines of a wind farm, wherein the wind farm includes at least one pair of turbines aligned along a common axis approximately parallel to a current wind direction and having an upstream turbine and a downstream turbine. The method includes the steps of: a) providing a data driven model trained with a machine learning method and stored in a database, b) determining a decision parameter for controlling at least one of the upstream turbine and the downstream turbine by feeding the data driven model with the current power production of the upstream turbine which returns a prediction value indicating whether the downstream turbine will be affected by wake, and/or the temporal evolvement of the current power production of the upstream turbine; c) based on the decision parameter, determining control parameters for the upstream turbine and/or the downstream turbine.
    Type: Application
    Filed: January 16, 2019
    Publication date: November 25, 2021
    Inventors: Per Egedal, Peder Bay Enevoldsen, Alexander Hentschel, Markus Kaiser, Clemens Otte, Volkmar Sterzing, Steffen Udluft, Marc Christian Weber
  • Patent number: 10983485
    Abstract: In order to control a technical system, e.g. of a wind turbine, a temporal sequence of operating parameter values of the technical system that is continuously recorded and continuously converted into a sequence of filtered signal values by a trainable digital filter. The sequence of the filtered signal values is supplied to a mechanical learning routine which derives prediction values therefrom for a target operating parameter. The digital filter and the mechanical learning routine are trained to reduce a distance between derived prediction values and temporally corresponding, actually recorded values of the target operation parameter. The prediction values for controlling the technical system are then emitted.
    Type: Grant
    Filed: February 6, 2018
    Date of Patent: April 20, 2021
    Inventors: Alexander Hentschel, Markus Michael Geipel
  • Publication number: 20200348631
    Abstract: Provided is a method for the computer-assisted control of a technical system, in particular in a plant for generating energy, to achieve a predetermined technical behavior of the technical system, wherein an operating data set for controlling the system is provided. A system model for describing the mode of operation of the technical system is provided, wherein on the basis of the operating data set and on the basis of the system model, an optimization data set is determined by an optimization method. Based on the optimization data set, relevant parameters of the technical system that allow a more advantageous control of the technical system than other parameters of the technical system are selected using a selection method, wherein with the selected relevant parameters, a control method for the technical system is determined, wherein the technical system is controlled with the aid of the control method.
    Type: Application
    Filed: October 11, 2018
    Publication date: November 5, 2020
    Inventors: Daniel Hein, Alexander Hentschel, Steffen Udluft
  • Patent number: 10796871
    Abstract: The invention relates to an electric switch, in particular a rocker switch, comprising a contact system and comprising a movable actuating element for switching over the contact system between two switch positions, in particular an on position and an off position. The switch has a drivable actuator, which is operatively connected to the actuating element in such a way that the actuating element in at least one of the two switch positions is moved, on driving of the actuator, into the other switch position by the actuator for switching the contact system. In particular, the actuating element is moved by the actuator from the on position to the off position of the contact system.
    Type: Grant
    Filed: March 6, 2019
    Date of Patent: October 6, 2020
    Assignee: Marquardt GmbH
    Inventors: Andreas Maier, August Geiger, Alexander Hentschel, Alexander Prill, Daniel Nill
  • Publication number: 20200192304
    Abstract: In order to control a technical system, e.g. of a wind turbine, a temporal sequence of operating parameter values of the technical system that is continuously recorded and continuously converted into a sequence of filtered signal values by a trainable digital filter. The sequence of the filtered signal values is supplied to a mechanical learning routine which derives prediction values therefrom for a target operating parameter. The digital filter and the mechanical learning routine are trained to reduce a distance between derived prediction values and temporally corresponding, actually recorded values of the target operation parameter. The prediction values for controlling the technical system are then emitted.
    Type: Application
    Filed: April 4, 2017
    Publication date: June 18, 2020
    Inventors: Alexander Hentschel, Markus Michael Geipel
  • Publication number: 20200064788
    Abstract: In order to control a technical system, a system state of the technical system is continually detected. By a trained first control model, a subsequent state of the technical system is predicted on the basis of a sensed system state. Then, a distance value is determined for a distance between the predicted subsequent state and an actually occurring system state. Furthermore, a second control model is trained by the trained first control model to predict the distance value on the basis of a sensed system state and on the basis of a control action for controlling the technical system. A subsequent state predicted by the first control model is then modified on the basis of a distance value predicted by the trained second control model. The modified subsequent state is output in order to control the technical system.
    Type: Application
    Filed: December 5, 2017
    Publication date: February 27, 2020
    Inventors: ALEXANDER HENTSCHEL, STEFFEN UDLUFT, CLEMENS OTTE
  • Publication number: 20190206647
    Abstract: The invention relates to an electric switch, in particular a rocker switch, comprising a contact system and comprising a movable actuating element for switching over the contact system between two switch positions, in particular an on position and an off position. The switch has a drivable actuator, which is operatively connected to the actuating element in such a way that the actuating element in at least one of the two switch positions is moved, on driving of the actuator, into the other switch position by the actuator for switching the contact system. In particular, the actuating element is moved by the actuator from the on position to the off position of the contact system.
    Type: Application
    Filed: March 6, 2019
    Publication date: July 4, 2019
    Applicant: Marquardt GmbH
    Inventors: Andreas MAIER, August GEIGER, Alexander HENTSCHEL, Alexander PRILL, Daniel NILL
  • Patent number: 10338542
    Abstract: An interactive assistance system and method for computer-aided control optimization for a technical system is provided. For example, a gas or wind turbine, in particular for optimizing the action sequence or the control variables of the plant (e.g. gas supply, compression), wherein an input terminal is provided for reading at least one status parameter providing a first system status of the technical system, and at least one setting parameter for adapting a reward function. A simulation module having a pre-trained neuronal network, simulating the plant, serves to simulate an action sequence on the technical system, starting from the first system status and to the prediction of the resulting statuses of the technical system.
    Type: Grant
    Filed: May 5, 2015
    Date of Patent: July 2, 2019
    Assignee: Siemens Aktiengesellschaft
    Inventors: Siegmund Düll, Alexander Hentschel, Jatinder P. Singh, Volkmar Sterzing, Steffen Udluft
  • Patent number: 10319547
    Abstract: The invention relates to an electric switch, in particular a rocker switch, comprising a contact system and comprising a movable actuating element for switching over the contact system between two switch positions, in particular an on position and an off position. The switch has a drivable actuator, which is operatively connected to the actuating element in such a way that the actuating element in at least one of the two switch positions is moved, on driving of the actuator, into the other switch position by the actuator for switching the contact system. In particular, the actuating element is moved by the actuator from the on position to the off position of the contact system.
    Type: Grant
    Filed: November 5, 2014
    Date of Patent: June 11, 2019
    Assignee: Marquardt GmbH
    Inventors: Andreas Maier, August Geiger, Alexander Hentschel, Alexander Prill, Daniel Nill
  • Publication number: 20180364653
    Abstract: In order to determine a power output by a first energy producer, wherein the first energy producer is coupled to a second energy producer, a first soft sensor which is trained to determine an individual mode power value of the first energy producer is queried. In a mode combining the first and second energy producers, an individual mode power value determined for the first energy producer by the first soft sensor is read in here. Furthermore, a second soft sensor determines a first power value for the first energy producer and a second power value for the second energy producer. In addition, a total power of the energy producers is determined.
    Type: Application
    Filed: December 7, 2016
    Publication date: December 20, 2018
    Inventors: HANS-GERD BRUMMEL, KAI HEESCHE, ALEXANDER HENTSCHEL, VOLKMAR STERZING
  • Patent number: 10107205
    Abstract: The embodiments relate to a method for the computer-aided control and/or regulation of a technical system, particularly a power generation installation. The actions to be performed in the course of regulation or control are ascertained using a numerical optimization method (e.g., a particle swarm optimization). In this case, the numerical optimization method uses a predetermined simulation model that is used to predict states of the technical system and, on the basis thereof, to ascertain a measure of quality that reflects an optimization criterion for the operation of the technical system.
    Type: Grant
    Filed: August 5, 2014
    Date of Patent: October 23, 2018
    Assignee: Siemens Aktiengesellschaft
    Inventors: Siegmund Düll, Daniel Hein, Alexander Hentschel, Thomas Runkler, Steffen Udluft
  • Patent number: 9952566
    Abstract: A computer-implemented method for controlling and/or regulating a technical system, in which actions to be carried out on the technical system are first of all determined using an action selection rule which was determined through the learning of a data-driven model and, in particular, a neural network. On the basis of these actions a numerical optimization searches for actions which are better than the original actions according to an optimization criterion. If such actions are found, the technical system is regulated or controlled on the basis of these new actions, such that the corresponding actions are applied to the technical system in succession. The method is suitable, in particular, for regulating or controlling a gas turbine, wherein the actions are preferably optimized with respect to the criterion of low pollutant emission or low combustion chamber humming.
    Type: Grant
    Filed: August 23, 2013
    Date of Patent: April 24, 2018
    Assignee: Siemens Aktiengesellschaft
    Inventors: Siegmund Düll, Alexander Hentschel, Steffen Udluft
  • Patent number: 9926853
    Abstract: The invention concerns a method for the computerized control and/or regulation of a technical system. Within the context of the method according to the invention, an action-selection rule (PO?) is determined which has a low level of complexity and yet is well suited to the regulating and/or control of the technical system, there being used for determination of the action-selection rule (PO?) an evaluation measure (EM) which is determined on the basis of a distance measure and/or a reward measure and/or an action-selection rule evaluation method. The action-selection rule is then used to control and/or regulate the technical system. The method according to the invention has the advantage of the action-selection rule being comprehensible to a human expert. Preferably, the method according to the invention is used for regulating and/or controlling a gas turbine and/or a wind turbine.
    Type: Grant
    Filed: January 22, 2014
    Date of Patent: March 27, 2018
    Assignee: Siemens Aktiengesellschaft
    Inventors: Siegmund Düll, Alexander Hentschel, Steffen Udluft
  • Publication number: 20170160706
    Abstract: An interactive assistance system and method for computer-aided control optimization for a technical system is provided. For example, a gas or wind turbine, in particular for optimizing the action sequence or the control variables of the plant (e.g. gas supply, compression), wherein an input terminal is provided for reading at least one status parameter providing a first system status of the technical system, and at least one setting parameter for adapting a reward function. A simulation module having a pre-trained neuronal network, simulating the plant, serves to simulate an action sequence on the technical system, starting from the first system status and to the prediction of the resulting statuses of the technical system.
    Type: Application
    Filed: May 5, 2015
    Publication date: June 8, 2017
    Inventors: SIEGMUND DÜLL, ALEXANDER HENTSCHEL, JATINDER P. SINGH, VOLKMAR STERZING, STEFFEN UDLUFT
  • Patent number: 9466032
    Abstract: A method for the computer-supported generation of a data-driven model of a technical system, in particular of a gas turbine or wind turbine, based on training data is disclosed. The data-driven model is preferably learned in regions of training data having a low data density. According to the invention, it is thus ensured that the data-driven model is generated for information-relevant regions of the training data. The data-driven model generated is used in a particularly preferred embodiment for calculating a suitable control and/or regulation model or monitoring model for the technical system. By determining optimization criteria, such as low pollutant emissions or low combustion dynamics of a gas turbine, the service life of the technical system in operation can be extended. The data model generated by the method according to the invention can furthermore be determined quickly and using low computing resources, since not all training data is used for learning the data-driven model.
    Type: Grant
    Filed: June 1, 2012
    Date of Patent: October 11, 2016
    Assignee: SIEMENS AKTIENGESELLSCHAFT
    Inventors: Siegmund Düll, Alexander Hentschel, Volkmar Sterzing, Steffen Udluft
  • Publication number: 20160208711
    Abstract: The embodiments relate to a method for the computer-aided control and/or regulation of a technical system, particularly a power generation installation. The actions to be performed in the course of regulation or control are ascertained using a numerical optimization method (e.g., a particle swarm optimization). In this case, the numerical optimization method uses a predetermined simulation model that is used to predict states of the technical system and, on the basis thereof, to ascertain a measure of quality that reflects an optimization criterion for the operation of the technical system.
    Type: Application
    Filed: August 5, 2014
    Publication date: July 21, 2016
    Inventors: Siegmund Düll, Daniel Hein, Alexander Hentschel, Thomas Runkler, Steffen Udluft
  • Publication number: 20160040603
    Abstract: The invention concerns a method for the computerized control and/or regulation of a technical system. Within the context of the method according to the invention, an action-selection rule (PO?) is determined which has a low level of complexity and yet is well suited to the regulating and/or control of the technical system, there being used for determination of the action-selection rule (PO?) an evaluation measure (EM) which is determined on the basis of a distance measure and/or a reward measure and/or an action-selection rule evaluation method. The action-selection rule is then used to control and/or regulate the technical system. The method according to the invention has the advantage of the action-selection rule being comprehensible to a human expert. Preferably, the method according to the invention is used for regulating and/or controlling a gas turbine and/or a wind turbine.
    Type: Application
    Filed: January 22, 2014
    Publication date: February 11, 2016
    Inventors: Siegmund Düll, Alexander Hentschel, Steffen Udluft
  • Publication number: 20150227121
    Abstract: A computer-implemented method for controlling and/or regulating a technical system, in which actions to be carried out on the technical system are first of all determined using an action selection rule which was determined through the learning of a data-driven model and, in particular, a neural network. On the basis of these actions a numerical optimization searches for actions which are better than the original actions according to an optimization criterion. If such actions are found, the technical system is regulated or controlled on the basis of these new actions, such that the corresponding actions are applied to the technical system in succession. The method is suitable, in particular, for regulating or controlling a gas turbine, wherein the actions are preferably optimized with respect to the criterion of low pollutant emission or low combustion chamber humming.
    Type: Application
    Filed: August 23, 2013
    Publication date: August 13, 2015
    Applicant: Siemens Aktiegesellschaft
    Inventors: Siegmund Düll, Alexander Hentschel, Steffen Udluft
  • Publication number: 20150115967
    Abstract: The invention relates to an electric switch, in particular a rocker switch, comprising a contact system and comprising a movable actuating element for switching over the contact system between two switch positions, in particular an on position and an off position. The switch has a drivable actuator, which is operatively connected to the actuating element in such a way that the actuating element in at least one of the two switch positions is moved, on driving of the actuator, into the other switch position by the actuator for switching the contact system. In particular, the actuating element is moved by the actuator from the on position to the off position of the contact system.
    Type: Application
    Filed: November 5, 2014
    Publication date: April 30, 2015
    Inventors: Andreas MAIER, August GEIGER, Alexander HENTSCHEL, Alexander PRILL, Daniel NILL