In order to achieve decoupling control of aero-engine over whole envelop
genetic algorithm was used to optimize the proportion parameters of single neural adaptive decoupling controller based on various points within envelop
whilst several groups of parameters optimized by the algorithm were used as sample data to train radial basis function(RBF)network
helping to map height and mach number on proportion parameters after tuning.The proportion parameters at every operating point can be calculated by RBF neural network.The simulation results show that the control system has a fine performance of dynamic and decoupling capability over whole envelop
Development path and future trend of carrier-based advanced trainer engine
Thermal protection effectiveness of thermal barrier coatings in turbine blade applications
Aero-engine cycle design approach for multiple operating conditions performance reliability
Relationship between rotor/vanes blade number andnodal diameter number of bladed-disk coupling vibration
ptimum design of rotor structure layout and its mechanical properties
Related Author
PENG Yunlong
WU Xiong
DING Ting
ZHU Jianqin
ZHAO Chaofan
QIU Lu
曹大录
白广忱
Related Institution
National Key Laboratory of Science and Technology on Aero-Engine Aero-Thermodynamics,School of Energy and Power Engineering,Beijing University of Aeronautics and Astronautics