【摘要】 采用仅利用输入输出测量值的模型,参考自适应控制,设计了某型涡扇发动机的多变量控制系统;在飞行包线内选取标称点分别确定了自适应律的参数,以保证控制系统性能在该标称点处达到最优;用神经网络的方法拟合了发动机工作条件与自适应律参数之间的关系,建立了根据发动机工作状况选择合适自适应律参数的智能调节机构。仿真结果表明,所设计的控制系统在整个飞行包线内的标称点与非标称点均具有良好的性能。更多还原

【Abstract】 With reference to adaptive control, multi-variable control system for a turbofan engine is designed by adopting a model which only uses the input and output measurements. A series of nominal operating points are selected in flight envelope, and adaptive parameters are determined for each point to ensure the optimal control system performance. Through mapping the relations of adaptive parameters and engine operating condition by neural network approach, an intelligent regulator is established, which can select optimal adaptive parameters according to engine operating condition. The simulation results show that the control system exhibits excellent performance at various operating points over the flight envelope.更多还原