Aero-engine gain scheduling controller based on health degradation

Abstract

The invention provides an aero-engine gain scheduling controller based on health degradation. The aero-engine gain scheduling controller comprises a PID controller group resolving module and a degradation parameter estimation loop, wherein the PID controller group resolving module generates a control input vector u and outputs the control input vector u to an engine body, and a sensor obtains an engine measurement parameter y; the control input vector u and the measurement parameter y are jointly input into the degradation parameter estimation loop, and the degradation parameter estimation loop calculates to obtain a degradation parameter h of the engine and outputs the degradation parameter h to the PID controller group resolving module; and a plurality of PID controllers are designed inthe PID controller group resolving module, the PID controller group resolving module carries out calculating by utilizing the plurality of PID controllers designed inside and according to the input degradation parameter h and a scheduling parameter alpha to obtain an adaptive PID controller, and the PID controller generates a control input vector u according to a difference e between a reference input r and the measurement parameter y. The real engine can still be well controlled under the condition that the performance of the engine degrades, and thus the performance of the engine is fully exerted.

Description

technical field [0001] The invention relates to the technical field of aero-engine control, in particular to an aero-engine gain scheduling controller based on health degradation. Background technique [0002] Aeroengine is a complex nonlinear dynamic system. When working in a wide range of flight envelope, the working state of the engine changes continuously with the external conditions and flight conditions. Using a single linear controller cannot control the engine well within the full flight envelope, so someone proposed a nonlinear controller design method, but this method is immature and very complicated. For the control of the engine, the gain scheduling control is used more often. The linearization model corresponding to each point is obtained by linearizing some stable design points in the nonlinear model, and then the controller is designed separately for each linearization model. Using Fitting or interpolation methods link the individual controllers to effectivel...

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Problems solved by technology

[0003] However, with the long-term operation of the aircraft, various parts of the engine will degrade to varying degrees due to factors such as wear and tear, resulting in a mismatch between the nonlinear model established during engine design and the real engine after long-term operation, resulting in The gain-scheduled controller designed according to this nonlinear model cannot control the degraded engine well, which seriously reduces the performance of the engine

The existing adaptive control technology can theoretically solve the problem of engine performance degradation to a certain extent, but this control technology has many defects, such as the inability to effectively control the engine within the full flight envelope, and the control effect at a fixed steady-state operating point. Not as good as traditional controllers, and poor early control due to the need for online training

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