Multi-variable limiting protection control method for aero-engine

Abstract

The invention discloses a multi-variable limiting protection control method for an aero-engine. Aiming at the defects existing in the existing aero-engine limit protection control method, the present invention is based on the model-based control idea, through online linearization and parameter prediction of the airborne model, selects and activates the main control loop or the corresponding limit protection loop in real time, and The prediction results are used to realize the adaptive reconstruction of instructions under the multivariable framework, and then the multivariable controller is used to realize direct control or restriction of the unmeasurable. Its applicable objects are all kinds of power machinery that can establish complex analytical models and have multiple adjustable variables, including but not limited to turbojet engines, turbofan engines, turboshaft engines, turboprop engines, variable cycle engines, and turbine-based ram combination engine etc.

Description

technical field [0001] The invention relates to an aeroengine control method, in particular to an aeroengine multivariable limit protection control method. Background technique [0002] With the development of aero-engine technology, the amount of controllable adjustment it provides is increasing day by day, coupled with the continuous increase in the performance requirements and safety requirements of the engine during operation, the control system is developing from a single-variable control system to a multi-variable control system. . As far as the control task is concerned, the aero engine control system needs to control the engine to meet the requirements of the flight task, and at the same time ensure that it can work safely to avoid dangerous situations. The limit protection control function is introduced to meet the requirements of the latter, so as to ensure that the engine works within the set safety parameter range under extreme working conditions, that is, to en...

AI Technical Summary

Problems solved by technology

[0006] However, although model-based control makes it possible to directly limit the unmeasured, when applying multivariable control when the control signal calculated by a control loop contains multiple actuator signals, that is, the control signal is a vector rather than a single actuator signal

This makes it impossible to select the most suitable control loop output by simply comparing the size of the control signal in the vector form

This creates control loop selection difficulties when applying multivariable control to limit protection control

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