Abstract: A model-based trending process for a gas turbine engine that generates, in real-time, engine trend parameters from engine sensor data and ambient flight condition data to assess engine condition is described. The engine includes a plurality of sensors that are responsive to engine operations. The trending process is implemented using a commercially available processor coupled to the engine to monitor the engine operations, and having the desired processing speed and capacity. Engine health parameters are estimated and adjusted in a model for component diagnostics and fault detection and isolation. The trend parameters generated are retained.

Abstract: Systems and methods for estimating engine faults are described. In one embodiment, the method includes the steps of obtaining measured engine quantities at a first operating condition, obtaining measured engine quantities at a second operating condition, and generating an estimated fault vector y based on the measured engine quantities obtained at the first and second operating conditions. Model-based values can also be obtained at the first and second operating conditions and used in connection with generating vector y.

Abstract: A model-based trending process for a gas turbine engine that generates, in real-time, engine trend parameters from engine sensor data and ambient flight condition data to assess engine condition is described. The engine includes a plurality of sensors that are responsive to engine operations. The trending process is implemented using a commercially available processor coupled to the engine to monitor the engine operations, and having the desired processing speed and capacity. Engine health parameters are estimated and adjusted in a model for component diagnostics and fault detection and isolation. The trend parameters generated are retained.

Abstract: A model-based trending process for a gas turbine engine that generates, in real-time, engine trend parameters from engine sensor data and ambient flight condition data to assess engine condition is described. The engine includes a plurality of sensors that are responsive to engine operations. The trending process is implemented using a commercially available processor coupled to the engine to monitor the engine operations, and having the desired processing speed and capacity. Engine health parameters are estimated and adjusted in a model for component diagnostics and fault detection and isolation. The trend parameters generated are retained.

Abstract: An exemplary embodiment of the invention is directed to a control system for controlling an engine. The control system includes a schedule memory for storing a schedule representing target values for a controlled variable. The control system also includes a processor coupled to the schedule memory. The processor receives a reference input and generates a control signal in response to the reference input and the schedule. The schedule in the schedule memory may be updated to account for engine deterioration so that accurate control is performed. Another exemplary embodiment of the invention is a method for controlling an engine. The method includes updating a schedule to account for deterioration of the engine.

Abstract: A control system trims a gas turbine engine in real-time to provide a desired amount of thrust. The control system includes a controller coupled to the engine for receiving inputs from the engine regarding a status of the engine. The controller includes a processor and a non-volatile memory coupled to the processor. The processor is programmed to execute control logic. An engine power schedule representing values for a controlled variable is stored in the memory.

Abstract: A control unit in accordance with an exemplary embodiment of the present invention includes a multiplicity of regulators (Ki) and generates an output corresponding to blended and tuned actuator values. More particularly, and in the exemplary embodiment, the control unit includes a plurality of regulators (Ki), and each regulator (Ki) corresponds to a mode of operation or operating conditions. Each regulator (Ki) is configured to receive engine parameters as input and to generate output values for at least one actuator command uj. Respective gain schedulers are coupled to each regulator (Ki), and each scheduler receives, as input, an operating point which corresponds to at least one of a power setting parameter and an inlet temperature or pressure. Based on the operating point, each scheduler selects a gain to supply to its respective regulator (Ki).