基于T-S逆模型的航空发动机解耦控制  

Neural Net PID Controller for Aero-engine Based on T-S Inverse Model

作　　者：任立通[1] 谢寿生[1] 苗卓广[1] 王磊[1] 彭靖波[1] 吴勇[1] 

机构地区：[1]空军工程大学工程学院,西安710038

出　　处：《计算机测量与控制》2012年第9期2439-2442,共4页Computer Measurement &Control

基　　金：中国博士后科学基金(20100481498)

摘　　要：为了解决发动机控制系统中存在的耦合现象,以自适应逆控制原理为基础,提出了一种基于T-S逆模型的解耦控制器;该方法利用模糊T-S模型来辨识发动机的逆模型,从而得到实现解耦效果的伪线性化模型,再运用神经网络PID控制器的在线整定功能提高系统的动态性能和鲁棒性,使系统综合性能最优;仿真结果表明,该控制器具有理想的解耦效果,在发动机工作包线范围内具有良好的自适应能力。To solve the coupling phenomenon in the aero engine control system, taking the adaptive inverse control principle as the foundation, a decoupling controller based on the T-S inverse model is proposed. To get the pseudo linear model that achieves the decoupling purpose, a fuzzy T-S method is applied to identify the inverse model of aero--engine. Then the neural net PID controller is applied to im prove the dynamic performance and robustness of the system, thus to ensure the optimal overall performance. The simulated results show that this controller could achieve the desired decoupling performance, and the adaptive ability in the aero-engine working packages line is well.

关 键 词：航空发动机 自适应逆控制 T-S逆模型 神经网络PID 解耦控制 

分 类 号：TP303[自动化与计算机技术—计算机系统结构]