摘要
根据反馈神经网络控制方法在发动机控制系统中的应用研究,建立了基于反馈网络的发动机控制系统。采用反馈神经网络辨识发动机模型参数,用动态自适应算法对神经网络权值进行了调整,并在飞行包线内各工作点对整个控制系统进行了仿真。结果表明,使用神经网络建立的发动机控制系统具有良好的控制品质和较强的自适应能力。
According to the research of the recurrent neural network control method application to aeroengines, the system based on recurrent network is built. The aeroengine model parameters are distinguished using the recurrent neural network, and the weighted values are adjusted using the dynamic adaptive algorithm. The entire control system is simulated on various operating point in the flight envelope. The numerical simulation results show that the aeroengine control system based the neural network is provided with better control quality and stronger adaptive capability.
出处
《航空发动机》
2007年第4期46-49,共4页
Aeroengine
