航空发动机模糊自适应广义预测解耦控制

为克服航空发动机控制回路间的耦合作用,针对具有不确定大时延的航空发动机分布式控制系统,提出了一类模糊自适应广义预测解耦控制算法.利用发动机非线性模型的输入输出数据对模糊自适应推理网络进行离线训练,网络的前提参数训练后固定,后件参数则可在线调整以使网络能更好地逼近实际系统.将模糊自适应推理网络作为广义预测控制器的预测模型,可以省去常规广义预测控制器的反馈校正机构.仿真表明:当参考轨迹为阶跃信号、斜坡信号时,所设计的控制器均具有良好的动态跟踪特性和解耦特性,当时延发生变化时,系统输出仍然能稳定地跟踪参考轨迹,说明该控制器对时延不敏感,鲁棒性强.

Aeroengine General Predictive Decoupling Control Based on Fuzzy Adaptive Inference Network

In order to overcome coupling effect of aero-engine's control loop,a general predictive decoupling controller based on coactive adaptive network-based fuzzy inference system(CANFIS) is designed for aero-engine distributed control system with long uncertain time-delay.The input and output data of engine nonlinear model are used as sample data to train CANFIS.The front parameters are fixed after training,and the latter parameters can be adjusted to make CANFIS approach actual system online.The network is take...