[미국특허]
Compact aero-thermo model based control system
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G05B-017/02
F02C-007/26
F02C-003/04
F02C-009/16
F02C-009/20
F04D-029/32
G05B-013/04
G05B-023/02
G05D-007/06
F01D-021/00
출원번호
US-0770543
(2014-03-14)
등록번호
US-10145307
(2018-12-04)
국제출원번호
PCT/US2014/027636
(2014-03-14)
국제공개번호
WO2014/152701
(2014-09-25)
발명자
/ 주소
Karpman, Boris
Niemczycki, Thomas
Dinsmore, Ian Michael
Sembiante, David
Luppold, Robert H.
출원인 / 주소
UNITED TECHNOLOGIES CORPORATION
대리인 / 주소
Cantor Colburn LLP
인용정보
피인용 횟수 :
0인용 특허 :
40
초록▼
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
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.
대표청구항▼
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; anda model processor for generating the model output, the model pro
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; anda 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; andan 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; andan 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; andpositioning 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; andan 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. 18. The gas turbine engine of claim 16, wherein the element of a cycle of the gas turbine engine is an element of at least one of: a duct, a bleed, a pressure loss at a location, a turbine, a compressor, a diffusor, a burner, an exit guide vane, a nozzle, a fan, an efficiency loss module, a fan gear box, or a torque measurement. 19. The gas turbine engine of claim 16, further comprising sensors to gather data associated with operation of the gas turbine engine, the data for use by the model processor. 20. The gas turbine engine of claim 16, further comprising an analog-to-digital convertor to convert the data associated with operation of the gas turbine engine into a data format readable by the model processor.
Livshiz, Michael; Kaiser, Jeffrey M.; Whitney, Christopher E.; Hysko, Jr., Gerald J.; White, David A.; Song, B. Jerry, Airflow control systems and methods.
Whitney, Christopher E.; Jin, Ning; Genslak, Robert J.; Chen, Jyh-Shin; Wong, Kevin C., Airflow control systems and methods using model predictive control.
Spang ; III Henry A. (Schenectady NY) Wanger Robert P. (Fairfield OH), Apparatus for sensor failure detection and correction in a gas turbine engine control system.
Karpman, Boris; Meisner, Richard P.; Lacour, Mark E., Design and control of engineering systems utilizing component-level dynamic mathematical model with multiple-input multiple-output estimator.
Karpman, Boris; Meisner, Richard P.; Shade, John L., High fidelity integrated heat transfer and clearance in component-level dynamic turbine system control.
Finnigan,Peter Michael; Srinivas,Mullahalli Venkataramaniah; Albers,Robert Joseph; DeLeonardo,Guy Wayne, Method and system for active tip clearance control in turbines.
Healy, Timothy Andrew; Intile, John Charles; Citeno, Joseph Vincent; Frederick, Garth Curtis, Method and system to determine composition of fuel entering combustor.
Javelot, Christophe; Bonneau, Damien; Gaully, Bruno Robert; Olivier, Amaury, Method for controlling the clearance at the tips of blades of a turbine rotor.
Treinies Stefan,DEX ; Engl Maximilian,DEX ; Rosel Gerd,DEX, Method for determining an air mass flow into cylinders of an internal combustion engine with the aid of a model.
Meisner, Richard P.; Winebrenner, Brian V.; Feulner, Matthew R.; Karpman, Boris; Marcos, Juan A.; Ma, David L., Real time model based compressor control.
Karpman, Boris; Meisner, Richard P.; Lacour, Mark E., System and method for design and control of engineering systems utilizing component-level dynamic mathematical model.
Boris Karpman ; John L. Shade ; Daniel E. Kane, System and method of controlling clearance between turbine engine blades and case based on engine components thermal growth model.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.