Airflow control systems and methods using model predictive control
US-9429085-B2 · Aug 30, 2016 · US
US10145307B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10145307-B2 |
| Application number | US-201414770543-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 14, 2014 |
| Priority date | Mar 15, 2013 |
| Publication date | Dec 4, 2018 |
| Grant date | Dec 4, 2018 |
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Systems and methods for controlling a fluid based engineering system are disclosed. The systems and methods may include a model processor for generating a model output, the model processor including a set state module for setting dynamic states of the model processor, the dynamic states input to an open loop model based on the model operating mode, the model generates current state derivatives and synthesized parameters as a function of the dynamic states and the model input, wherein a constraint on the current state derivatives is based a series of modules, each member of the series of modules arranged in at least a primary stream group and a secondary stream group corresponding to a component of the system. The model processor may further include an estimate state module for determining an estimated state of the model.
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What is claimed is: 1. A control system, comprising: an actuator for positioning a control device comprising a control surface, wherein the actuator positions the control surface; a control law for directing the actuator as a function of a model output; and a model processor for generating the model output, the model processor comprising: an input object for processing model input vector and setting a model operating mode; a set state module for setting dynamic states of the model processor, the dynamic states input to an open loop model based on the model operating mode; wherein the open loop model generates a current state derivatives, solver state errors and synthesized parameters as a function of the dynamic states and the model input, wherein a constraint on the current state derivatives and solver state errors being based on a series of cycle synthesis modules, each member of the series of cycle synthesis modules modeling a component of a cycle of the control device and comprising a series of utilities, the utilities based on mathematical abstractions of physical properties associated with the component, the cycle synthesis modules arranged in at least a primary stream group and a secondary stream group corresponding to the component of a cycle of the control device, wherein the primary stream group and the secondary stream group receive inputs from the set state module, an estimate state module for determining an estimated state of the model based on a at least one of a prior state model output, the current state derivatives of the open loop model, and the synthesized parameters; and an output object for processing at least the synthesized parameters of the model to determine the model output. 2. The control system of claim 1 , further comprising an operator interface to provide instructions to at least one of the model processor or the control law. 3. The control system of claim 1 , further comprising system sensors to contribute data to the model input. 4. The control system of claim 1 , wherein at least one of the utilities is a configurable utility comprising one or more sub-utilities. 5. The control system of claim 4 , wherein at least one configurable utility is designed to model physical processes of a compressor element. 6. The control system of claim 4 , wherein at least one configurable utility is designed to model physical processes of a turbine element. 7. The control system of claim 1 , wherein the model input includes at least one of raw effector data, boundary conditions, engine sensing data, unit conversion information, range limiting information, rate limiting information, dynamic compensation determinations, and synthesized lacking inputs. 8. The control system of claim 1 , wherein the control device is a gas turbine engine. 9. The control system of claim 8 , wherein the one or more cycle synthesis modules are based on one or more mathematical abstractions of physical processes associated with components of a thermodynamic cycle of the gas turbine engine. 10. A method for controlling a control device, the method comprising: generating a model output using a model processor, the model processor comprising: an input object for processing model input vector and setting a model operating mode; a set state module for setting dynamic states of the model processor, the dynamic states input to an open loop model based on the model operating mode; wherein the open loop model generates a current state derivatives, solver state errors and synthesized parameters as a function of the dynamic states and the model input, wherein a constraint on the current state derivatives and solver state errors being based on a series of cycle synthesis modules, each member of the series of cycle synthesis modules modeling a component of a cycle of the control device and comprising a series of utilities, the utilities based on mathematical abstractions of physical properties associated with the component, the cycle synthesis modules arranged in at least a primary stream group and a secondary stream group corresponding to the component of a cycle of the control device, wherein the primary stream group and the secondary stream group receive inputs from the set state module, an estimate state module for determining an estimated state of the model based on at least one of a prior state model output, the current state derivatives, of the open loop model, and the synthesized parameters; and an output object for processing at least the synthesized parameters of the model to determine a model output; directing an actuator associated with the control device as a function of the model output using a control law; and positioning the control device comprising a control surface using the actuator, wherein the actuator positions the control surface. 11. The method claim 10 , further comprising receiving instructions by the model processor via an operator interface operatively associated with the control device. 12. The method of claim 10 , wherein the control device is a gas turbine engine. 13. The method of claim 12 , wherein the model processor is an engine parameter on-board synthesizer. 14. The method of claim 12 , wherein the one or more cycle synthesis modules are based on one or more mathematical abstractions of physical processes associated with components of a thermodynamic cycle of the gas turbine engine. 15. The method of claim 10 , wherein at least one of the utilities is a configurable utility comprising one or more sub-utilities. 16. A gas turbine engine comprising: a fan; a compressor section downstream of the fan; a combustor section downstream of the compressor section; a turbine section downstream of the combustor section; an actuator for positioning the gas turbine engine, wherein the actuator positions a control surface of an element of the gas turbine engine in order to control a model state; a control law for directing the actuator as a function of a model output; a model processor for generating the model output, the model processor comprising: an input object for processing model input vector and setting a model operating mode; a set state module for setting dynamic states of the model processor, the dynamic states input to an open loop model based on the model operating mode wherein the open loop model generates a current state derivatives, solver state errors and synthesized parameters as a function of the dynamic states and the model input vector, wherein a constraint on the current state derivatives and solver state errors being based on a series of cycle synthesis modules, each member of the series of cycle synthesis modules modeling a component of a cycle of the gas turbine engine and comprising a series of utilities, the utilities based on mathematical abstractions of physical properties associated with the component, the cycle synthesis modules arranged in at least a primary stream group and a secondary stream group corresponding to the component of a cycle of the control device, wherein the primary stream group and the secondary stream group receive inputs from the set state module, an estimate state module for determining an estimated state of the model based on at least one of a prior state model output, the current state derivatives of the open loop model, and the synthesized parameters; and an output object for processing at least the synthesized parameters of the model to determine the model output. 17. The gas turbine engine of claim 16 , wherein the model processor is an engine parameter on-board synthesizer.
Combustors or associated equipment · CPC title
for axial flow fans (blade mountings F04D29/34, blades F04D29/38) · CPC title
Control of working fluid flow (F02C9/48 takes precedence; control of air-intake flow F02C7/057) · CPC title
having a turbine driving a compressor (power transmission arrangements F02C7/36; control of working fluid flow F02C9/16) · CPC title
for axial flow compressors · CPC title
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