公开(公告)号：US11629694B2

公开(公告)日：2023-04-18

申请号：US16660084

申请日：2019-10-22

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Fernando Javier D'Amato ,  Fabiano Daher Adegas ,  Justin Barton ,  Alexander Luenenschloss

IPC: F03D7/00 ,  F03D17/00 ,  G05B17/02

Abstract: 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. A method and a non-transitory medium are also disclosed.

公开(公告)号：US11125211B2

公开(公告)日：2021-09-21

申请号：US16414484

申请日：2019-05-16

Applicant: General Electric Company

Inventor： Masoud Abbaszadeh ,  Fabiano Daher Adegas ,  Fernando Javier D'Amato ,  Junqiang Zhou ,  Conner Shane ,  Justin Barton

IPC: F03D7/04 ,  G05B13/02 ,  G05B13/04 ,  G06F30/20 ,  F03D7/02 ,  G06N7/00

Abstract: 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.