航空发动机全包线自适应解耦控制器设计

为实现航空发动机在全包线的解耦控制, 在飞行包线内选择了若干点, 使用遗传算法对单神经元自适应解耦控制器的比例系数进行了离线优化。以优化得到的若干组参数为训练样本, 离线训练径向基函数(RBF)神经网络, 训练后的网络可映射高度、马赫数与比例系数之间的非线性关系, 飞行包线内任意点的解耦控制器比例系数即可由该网络得到。仿真表明:在设计点和非设计点, 系统均具有良好的动态特性和解耦特性。该方法结构简单、易于实现, 具有实用价值。 

Design of an adaptive decoupling controller of aero-engine over whole envelop

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 neur...