Online actuator parameter estimation method for aero-engine control system
In order to solve the problem of performance degradation that consequently reduces the engine control quality and even endangers the engine operation safety,a method of estimating the real-time state and performance variation trend for the actuator was proposed.Considering the measurable signals of practical aero-engine servo actuator were less than the performance parameters,a adaptive estimation method of combined state was put forward by means of recognition and classification of the actuation pattern,the balanced current of electro-hydraulic servo in the steady state was estimated by unscented Kalman filter,the actuation gain and actuation time delay in the dynamic state were estimated by the method of Broyden-Fletcher-Goldforb-Shanno(BFGS),the performance parameters were updated in real time,and the adaptive model of servo actuator was established.A vane servo actuator loop of turbofan engine was simulated.The simulation results showed that,when single servo parameter can be measured,the absolute error of balance current estimation was less than±0.2 mA,the relative error of actuation gain estimation was less than±4％,and the absolute error of actuation delay period estimation was less than one control period in different actuation states,and the adaptive model can estimate the state of actuator accurately and track the performance variation trend in real time,so the method can provide technical support of the control loop design and fault diagnosis for aero-engine servo actuator.
aero-engine control systemactuatoradaptive modelparameters estimationpattern recognition and classificationstate tracking
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