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基于卡尔曼滤波器研究旋翼/涡轴发动机的机载自适应模型.采用拟合法建立了状态变量模型,并将发动机性能蜕化参数作为增广的状态变量,设计了卡尔曼滤波器,从而可以根据可测参数的偏离量估计出发动机部件性能蜕化值,最后将部件性能蜕化值用于对机载模型中不可测性能参数的修正,从而使机载模型能适应发动机的非额定工作状况.通过数字仿真表明,建立的机载自适应模型能真实反映发动机的工作状况,并且在全包线范围内该模型都具有比较好的鲁棒性和实时性.
Based on the Kalman filter, the rotor / turbocharged air-borne adaptive model is studied. The state variable model is established by the fitting method and the degenerate parameter of the engine is used as the augmented state variable. The Kalman filter can be designed according to The deviations of measurable parameters are used to estimate the degenerative performance of the engine components, and finally the degeneration values of the components are used to correct the unmeasurable performance parameters in the airborne model, so that the onboard model can adapt to the non-rated working condition of the engine, The simulation shows that the established airborne adaptive model can truly reflect the working condition of the engine, and the model has better robustness and real-time performance in the whole envelope.