General Electric Company

Benjamin David Laskowski

William Forrester Seely

John Joseph Raffensperger

Karl Dean Minto

Timothy Lee Janssen

Mark Eugene Shepard

David Spencer Ewens

Christopher Eugene Long

Rebecca Kathryn Jaiven

Andrew David McArthur

Richard Frank Lazzuri

Ahmed My Cheta

Karl Joseph Minto

Seth Andrew Hendrickson

Patrick Nkrumah Adasa

Mohamed Ahmed Aljahmi

Timothy L Janssen

Richard Lazurri

Systems and methods for automatic feedback control are provided. According to one embodiment of the disclosure, a method for automatic feedback control may commence with receiving high-level control references by a low-level controller communicatively coupled to a high-level controller via the network connection. The method may further include generating, by the low-level controller, low-level control references for a hardware asset based at least in part on the high-level control references. The method may continue with transferring control of the hardware asset to the low-level controller in response to a loss of the network connection. The method may further include adjusting the low-level control references by a low-level control mechanism associated with the low-level controller in response to the loss of the network connection.

Systems and methods for automatic feedback control in a distributed control system

Systems and methods for health monitoring and upgrade of a distributed controller are provided. According to one embodiment of the disclosure, a method for health monitoring and upgrade of a distributed controller may commence with receiving, by a lower level controller from a high-level controller, high-level control references. The method may further include generating low-level control references for a hardware asset based at least in part on the high-level control references. The method may include monitoring the network connection and detecting an error in the network connection. In response to the detection of the error in the network connection, a control of the hardware asset may be transferred to the low-level controller. The method may further include determining that the network connection has been restored. In response to the determination that the network connection has been restored, the control of the hardware asset may be transferred to the high-level controller.

Systems and methods for health monitoring and upgrade of a distributed controller

A method includes determining, via a processor, a commanded fluid flow rate of a fluid entering or exiting the drum of an industrial system, wherein the commanded fluid flow rate comprises a rate of fluid entering the drum of the industrial system, exiting the drum of the industrial system, or a combination thereof. The method additionally includes determining, via the processor, a measured flow rate of the fluid. The method further includes determining, via the processor, a variable multiplier based at least in part on the commanded fluid flow rate and the measured flow rate; and deriving, via the processor, a multiplied flow rate command for the industrial system by applying the variable multiplier to the commanded fluid flow rate.

Systems and methods for controlling drum levels using flow

A method includes determining, via a processor, a commanded temperature rate for a component of a steam turbine system. The method further includes determining, via the processor, a measured temperature rate for the component of the steam turbine system. The method additionally includes determining, via the processor, a variable multiplier based at least in part on the commanded temperature rate and the measured temperature rate. The method also includes deriving, via the processor, a multiplied temperature rate command by applying the variable multiplier to the commanded temperature rate.

Systems and methods for controlling machinery stress via temperature trajectory

Exemplary embodiments described in this disclosure pertain to a system that includes a high-level controller coupled to a low-level controller in an arrangement that allows the high-level controller to cooperate with the low-level controller for controlling a power generation unit. The high-level controller generates supplementary signals and/or supplementary code that is provided to a surrogate controller. The surrogate controller uses the supplementary signals and/or supplementary code to generate control software that is provided to the low-level controller for controlling certain operational aspects of the power generation unit that cannot be independently controlled by the low-level controller. If the high-level controller is placed in an independent mode of operation for any reason, the surrogate controller continues to cooperate with the low-level controller for controlling various operations of the power generation unit that were being controlled by the low-level controller prior to the high-level controller entering the independent mode of operation.

Multi-level controller systems and methods for controlling a physical asset

A method includes determining a commanded load rate of change of an industrial system, wherein the commanded load rate of change comprises a rate of load placed on an industrial machine of the industrial system. The method also includes determining a measured load rate of change of the industrial system based at least in part on an output power of the industrial system. The method further includes determining a variable multiplier based at least in part on the commanded load rate of change and the measured load rate of change. The method also includes applying the variable multiplier to a load rate command to the industrial system to generate a multiplied load rate command. The method further includes sending a signal to the industrial system to control the rate of the load placed on the industrial machine based at least in part on the multiplied load rate command.

Systems and methods for controlling load rate of change using a variable multiplier

Aspects of the present disclosure relate generally to a system including: a computing device in communication with a combustion system, wherein the computing device is configured to perform actions including: issuing an input to the combustion system; determining whether one of a dynamic output and an emission output corresponding to the input to the combustion system exceeds a first boundary condition; and adjusting the input to the combustion system by one of a first step change and a second step change; wherein the first step change corresponds to the dynamic output and the emission output not exceeding the first boundary condition, and the second step change corresponds to one of the dynamic output and the emission output exceeding the first boundary condition, the second step change being less than the first step change.

Automatic combustion system characterization

A system is provided. The system includes a gas turbine, the gas turbine having an operating space during operation and a current operating point during operation, a computing device communicatively coupled to the gas turbine and configured to calculate, based on the current operating point of the gas turbine, the operating space for the gas turbine by solving for a plurality of corner points that define the operating space, and display, to a user, a graph that includes the calculated operating space and the current operating point.

Systems and methods for determining gas turbine operating space

A system may include a controller that may control operations of a device according to a control loop and characterize a frequency response of the device while the device is operating. The controller may characterize the frequency response by adding a perturbation signal to any signal in the control loop. The controller may then determine a first transformed signal by performing a first discrete Fourier transform on a first signal in the control loop at a frequency of the perturbation signal and determine a second transformed signal by performing a second discrete Fourier transform on a second signal in the control loop at the frequency of the perturbation signal. The controller may then determine the frequency response at the frequency by comparing a first amplitude and a first phase of the first transformed signal to a second amplitude and a second phase of the second transformed signal.

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Greenville, SC, United States of America

Benjamin David Laskowski