Online actuator parameter estimation method for aero-engine control system

被引:0
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作者
Ji, Chunsheng [1 ,2 ]
Wang, Yuan [2 ]
Lu, Junjie [2 ]
机构
[1] School of Power and Energy, Northwestern Polytechnical University, Xi’an,710072, China
[2] Aero Engine Control System Institute, Aero Engine Corporation of China, Jiangsu, Wuxi,214063, China
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关键词
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. © 2024 Beijing University of Aeronautics and Astronautics (BUAA). All rights reserved;
D O I
10.13224/j.cnki.jasp.20220574
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