Compact aero-thermo model real time linearization based state estimator

A method for controlling a control device, the method comprising:

• generating a model output using a model processor;
• processing a model input vector and setting a model operating mode;
• setting dynamic states of the model processor, the dynamic states input to an open loop model based on the model operating mode;
• generating 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 is 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 laws that govern behavior of the component;
• determining an estimated state of the model based on at least one of a prior state, the current state derivatives, the solver state errors, and the synthesized parameters using online linearization and gain calculation to determine estimator gain for determining the estimated state of the model;
• processing at least the synthesized parameters of the model to determine the 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.

A gas turbine engine comprising:

• an actuator for positioning the gas turbine engine, wherein the actuator positions a control surface of an element of the gas turbine engine;
• a control law configured to direct the actuator as a function of a model output;
• and
• a model processor configured to generate the model output, the model processor comprising:
• an input object for processing a 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 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 is 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 laws that govern behavior of the component;
• an estimate state module configured to determine an estimated state of the model based on at least one of a prior state, the current state derivatives, the solver state errors, and the synthesized parameters, the estimate state module using online linearization and gain calculation to determine estimator gain for determining the estimated state of the model;
• and
• an output object for processing at least the synthesized parameters of the model to determine the model output.