Patents by Inventor Fabiano DAHER ADEGAS
Fabiano DAHER ADEGAS 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: 11629694Abstract: A system for computing wind turbine estimated operational parameters and/or control commands, includes sensors monitoring the wind turbine, a control processor implementing a model performing a linearization evaluation to obtain a structural component dynamic behavior, a fluid component dynamic behavior, and/or a combined structural and fluid component dynamic behavior of wind turbine operation, and a module performing a calculation utilizing the linearization evaluation of the structural component dynamic behavior, the fluid component dynamic behavior, and/or the combined structural and fluid component dynamic behavior. The module being at least one of an estimation module and a multivariable control module. The estimation module generating signal estimates of turbine or fluid states. The multivariable control module determining actuator commands that include wind turbine commands that maintain operation of the wind turbine at a predetermined setting in real time.Type: GrantFiled: October 22, 2019Date of Patent: April 18, 2023Assignee: General Electric CompanyInventors: Fernando Javier D'Amato, Fabiano Daher Adegas, Justin Barton, Alexander Luenenschloss
-
Patent number: 11421653Abstract: Systems and methods are provided for the robust, multivariable control of a power generating asset via H-infinity loop shaping using coprime factorization. Accordingly, a controller of the power generating asset computes a gain value for an H-infinity (H?) module in real-time at predetermined sampling intervals using an actuator dynamic model. The controller then determines an acceleration factor based, at least in part, on the gain value of the H? module. Based, at least in part on the acceleration vector, the controller generates a control vector. An operating state of at least one component of the power generating asset is changed based on the control vector.Type: GrantFiled: November 13, 2020Date of Patent: August 23, 2022Assignee: General Electric Renovables Espana, S.L.Inventors: Masoud Abbaszadeh, Fabiano Daher Adegas, Fernando Javier D'Amato
-
Publication number: 20220154688Abstract: Systems and methods are provided for the robust, multivariable control of a power generating asset via H-infinity loop shaping using coprime factorization. Accordingly, a controller of the power generating asset computes a gain value for an H-infinity (H?) module in real-time at predetermined sampling intervals using an actuator dynamic model. The controller then determines an acceleration factor based, at least in part, on the gain value of the H? module. Based, at least in part on the acceleration vector, the controller generates a control vector. An operating state of at least one component of the power generating asset is changed based on the control vector.Type: ApplicationFiled: November 13, 2020Publication date: May 19, 2022Inventors: Masoud Abbaszadeh, Fabiano Daher Adegas, Fernando Javier D'Amato
-
Patent number: 11125211Abstract: A system for wind turbine control includes a state dependent quadratic regulator (SDQR) control unit, a linear quadratic regulator (LQR) generating control acceleration commands for wind turbine speed and wind turbine power regulation, an actuator dynamic model computing a gain value for the LQR at predetermined sampling intervals and augmenting the actuator dynamic model with a wind turbine model. The wind turbine model either an analytical linearization model or a precomputed linear model, where the precomputed linear model is selected from a model bank based on a real-time scheduling operation, and the analytical linearization model is computed using an online linearization operation in real-time at time intervals during operation of the wind turbine based on current wind turbine operating point values present at about the time of linearization. A method and a non-transitory medium are also disclosed.Type: GrantFiled: May 16, 2019Date of Patent: September 21, 2021Assignee: General Electric CompanyInventors: Masoud Abbaszadeh, Fabiano Daher Adegas, Fernando Javier D'Amato, Junqiang Zhou, Conner Shane, Justin Barton
-
Patent number: 11022100Abstract: A control system for a wind turbine is provided. The wind turbine includes at least one stationary component. The control system includes at least one mechanical load measurement sensor coupled to the at least one stationary component. The system also includes at least one modeling device configured to generate and transmit at least one wind turbine regulation device command signal to at least one wind turbine regulation device to regulate operation of the wind turbine based upon at least one wind inflow parameter.Type: GrantFiled: December 17, 2015Date of Patent: June 1, 2021Assignee: General Electric CompanyInventors: Fabiano Daher Adegas, Sara Simonne L. Delport, Carlo Luigi Bottasso, Stefano Cacciola
-
Publication number: 20210115895Abstract: A system for computing wind turbine estimated operational parameters and/or control commands, includes sensors monitoring the wind turbine, a control processor implementing a model performing a linearization evaluation to obtain a structural component dynamic behavior, a fluid component dynamic behavior, and/or a combined structural and fluid component dynamic behavior of wind turbine operation, and a module performing a calculation utilizing the linearization evaluation of the structural component dynamic behavior, the fluid component dynamic behavior, and/or the combined structural and fluid component dynamic behavior. The module being at least one of an estimation module and a multivariable control module. The estimation module generating signal estimates of turbine or fluid states. The multivariable control module determining actuator commands that include wind turbine commands that maintain operation of the wind turbine at a predetermined setting in real time.Type: ApplicationFiled: October 22, 2019Publication date: April 22, 2021Inventors: Fernando Javier D'AMATO, Fabiano DAHER ADEGAS, Justin BARTON, Alexander LUENENSCHLOSS
-
Publication number: 20200362819Abstract: A system for wind turbine control includes a state dependent quadratic regulator (SDQR) control unit, a linear quadratic regulator (LQR) generating control acceleration commands for wind turbine speed and wind turbine power regulation, an actuator dynamic model computing a gain value for the LQR at predetermined sampling intervals and augmenting the actuator dynamic model with a wind turbine model. The wind turbine model either an analytical linearization model or a precomputed linear model, where the precomputed linear model is selected from a model bank based on a real-time scheduling operation, and the analytical linearization model is computed using an online linearization operation in real-time at time intervals during operation of the wind turbine based on current wind turbine operating point values present at about the time of linearization. A method and a non-transitory medium are also disclosed.Type: ApplicationFiled: May 16, 2019Publication date: November 19, 2020Inventors: Masoud ABBASZADEH, Fabiano DAHER ADEGAS, Fernando Javier D'AMATO, Junqiang ZHOU, Conner SHANE, Justin BARTON
-
Patent number: 10539116Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to provide wind turbine control and compensate for wind induction effects. An example method includes receiving wind speed data from a Light Detecting and Ranging (LIDAR) sensor. The example method includes receiving operating data indicative of wind turbine operation. The example method includes determining an apriori induction correction for wind turbine operating conditions with respect to the LIDAR wind speed data based on the operating data. The example method includes estimating a wind signal from the LIDAR sensor that is adjusted by the correction. The example method includes generating a control signal for a wind turbine based on the adjusted LIDAR estimated wind signal.Type: GrantFiled: July 13, 2016Date of Patent: January 21, 2020Assignee: General Electric CompanyInventors: Samuel Davoust, Conner B. Shane, Fabiano Daher Adegas, Thomas Stephen Markham, Dale Robert Mashtare
-
Patent number: 10302067Abstract: The invention relates to a controller configured to determine one or more future values of blade control references and/or a generator control references for a wind turbine generator. The first of the future values of the control references are used for control purposes. The future control references are determined from a physical model of a system of the wind turbine generator by solving an optimization problem which includes at least one cost function and at least one constraint.Type: GrantFiled: February 4, 2014Date of Patent: May 28, 2019Assignee: VESTAS WIND SYSTEMS A/SInventors: Eik Herbsleb, Fabiano Daher Adegas, Poul Brandt Christensen, Robert Bowyer, Fabio Caponetti, Ian Couchman, Lars Finn Sloth Larsen
-
Patent number: 9976539Abstract: A control method and a control system for a wind turbine are disclosed. The control method comprises measuring wind turbine blade pitch angles; obtaining a wind turbine rotor acceleration value; determining whether a blade pitch runaway fault condition is occurring; and during the blade pitch runaway fault condition, adjusting a pitch angle command based at least in part on the rotor acceleration value, a pitch angle of at least one faulted blade and a pitch angle of a healthy blade; and controlling wind turbine blades based at least in part on the adjusted pitch angle command.Type: GrantFiled: June 8, 2015Date of Patent: May 22, 2018Assignee: GENERAL ELECTRIC COMPANYInventors: Fabiano Daher Adegas, Xiongzhe Huang, Pranav Agarwal
-
Publication number: 20180017039Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to provide wind turbine control and compensate for wind induction effects. An example method includes receiving wind speed data from a Light Detecting and Ranging (LIDAR) sensor. The example method includes receiving operating data indicative of wind turbine operation. The example method includes determining an apriori induction correction for wind turbine operating conditions with respect to the LIDAR wind speed data based on the operating data. The example method includes estimating a wind signal from the LIDAR sensor that is adjusted by the correction. The example method includes generating a control signal for a wind turbine based on the adjusted LIDAR estimated wind signal.Type: ApplicationFiled: July 13, 2016Publication date: January 18, 2018Inventors: Samuel Davoust, Conner B. Shane, Fabiano Daher Adegas, Thomas Stephen Markham, Dale Robert Mashtare
-
Publication number: 20170175709Abstract: A control system for a wind turbine is provided. The wind turbine includes at least one stationary component. The control system includes at least one mechanical load measurement sensor coupled to the at least one stationary component. The system also includes at least one modeling device configured to generate and transmit at least one wind turbine regulation device command signal to at least one wind turbine regulation device to regulate operation of the wind turbine based upon at least one wind inflow parameter.Type: ApplicationFiled: December 17, 2015Publication date: June 22, 2017Inventors: Fabiano Daher Adegas, Sara Simonne L. Delport, Carlo Luigi Bottasso, Stefano Cacciola
-
Publication number: 20150369214Abstract: The invention relates to a controller configured to determine one or more future values of blade control references and/or a generator control references for a wind turbine generator. The first of the future values of the control references are used for control purposes. The future control references are determined from a physical model of a system of the wind turbine generator by solving an optimization problem which includes at least one cost function and at least one constraint.Type: ApplicationFiled: February 4, 2014Publication date: December 24, 2015Inventors: Eik HERBSLEB, Fabiano DAHER ADEGAS, Poul Brandt CHRISTENSEN, Robert BOWYER, Fabio CAPONETTI, Ian COUCHMAN, Lars Finn SLOTH LARSEN
-
Publication number: 20150361964Abstract: A control method and a control system for a wind turbine are disclosed. The control method comprises measuring wind turbine blade pitch angles; obtaining a wind turbine rotor acceleration value; determining whether a blade pitch runaway fault condition is occurring; and during the blade pitch runaway fault condition, adjusting a pitch angle command based at least in part on the rotor acceleration value, a pitch angle of at least one faulted blade and a pitch angle of a healthy blade; and controlling wind turbine blades based at least in part on the adjusted pitch angle command.Type: ApplicationFiled: June 8, 2015Publication date: December 17, 2015Inventors: Fabiano DAHER ADEGAS, Xiongzhe HUANG, Pranav AGARWAL