摘要
针对航空发动机全包线线性模型难以在线建立问题,提出一种基于智能特征提取的模糊建模方法。设计航空发动机特性表征参数,采用近邻传播算法提取航空发动机特性,将特性提取区域中心稳态工作点作为Takagi-Sugeno(T-S)模糊模型标称点建立全包线T-S模糊状态空间模型。基于该T-S模糊模型结合H∞控制理论,设计参考模型H∞控制器并开展仿真验证,仿真结果表明:T-S模糊状态空间模型稳态误差处于10^(-3)量级,满足模型精度要求且H∞控制器响应时间小于1 s,无稳态误差,具有较好的控制效果。
Considering the difficulty of establishing the aero-engine linear model in the full envelope online,a fuzzy modeling method based on intelligent feature extraction was proposed.The characteristic parameters of aero-engines were designed,the aero-engine characteristics were extracted by the affinity propagation algorithm,and the steady-state operating point at the center of the characteristic extraction region was taken as nominal point of the Takagi-Sugeno(T-S)fuzzy model to obtain the full-envelope T-S fuzzy state space model.Combining the T-S fuzzy model with H∞control theory,the reference model H∞controller was designed and simulated.The simulation results showed that the steady state error of the T-S fuzzy state space model was in the order of 10-3,which met the requirement of model accuracy,and the H∞controller had an excellent control quality such that the response time was less than 1 s and there was no steady-state error.
作者
许允
潘慕绚
黄金泉
XU Yun;PAN Muxuan;HUANG Jinquan(College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
出处
《航空动力学报》
EI
CAS
CSCD
北大核心
2021年第7期1545-1555,共11页
Journal of Aerospace Power
基金
国家科技重大专项(2017-Ⅴ-0004-0054)。
