基于相似变换的涡扇发动机智能动态推力估计方法  

An Intelligent Dynamic Thrust Estimation Method for Turbofan Engines Based on Similarity Transformation

作　　者：周婷 张永亮 聂聆聪[2] 李秋红 ZHOU Ting;ZHANG Yong-liang;NIE Ling-cong;LI Qiu-hong(l.Jiangsu Province Key Laboratory of Aerospace PowerSystem,College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,Chinai;Beijing Power Machinery Institute,Beijing100074,China)

机构地区：[1]南京航空航天大学能源与动力学院江苏省航空动力系统重点实验室,江苏南京210016 [2]北京动力机械研究所,北京100074

出　　处：《推进技术》2022年第6期310-317,共8页Journal of Propulsion Technology

基　　金：国家科技重大专项(2017-V-0004-0054)。

摘　　要：智能推力估计面临飞行包线大、工作状态多变带来的数据采集和处理问题,获得的训练数据难以覆盖整个飞行包线的各种过渡工作状态,为此本文提出一种基于相似变换的推力估计数据处理方法。通过机理分析选择推力估计器输入,以相似变换对推力估计的输入和输出数据进行处理,并设计了基于输入延迟的深层动态神经网络来实现动态推力估计。非训练数据区域的动态仿真结果表明,相似变换后,深层动态神经网络的最大推力估计误差降低了62.20%,平均误差降低了43.50%;未进行相似变换时,相比深层静态神经网络,深层动态神经网络的最大推力估计误差降低了43.42%,平均误差降低了2.35%,仿真结果表明了本文所提出的数据处理方法和动态推力估计结构有效性。Data acquisition and processing problems aroused by wide flying envelope and multi-workingstate variation are confronted with intelligent thrust estimation research. The available training data can hardly cover all the transition state in the full envelope. Therefore,a similarity principle based data processing method for thrust estimation is proposed. The thrust estimator inputs are selected by working principle analysis. The similar transform is applied to the inputs and output of the estimator,and a dynamic deep neural network(DDNN)with input delay is designed to realize the dynamic thrust estimation. Simulation results at the envelope different from the training data show that the maximum thrust estimation error and average thrust estimation error of the DDNN are decreased by 62.20% and 43.50%,respectively,after similar transform data processing. Compared with the deep static neural network(DSNN),the maximum thrust estimation error and average thrust estimation error of the DDNN are decreased by 43.42% and 2.35%,respectively,without similar transform data processing.Simulation results show the effectiveness of the date processing method and the dynamic thrust estimator structure.

关 键 词：涡扇发动机 深层动态神经网络 相似变换 数据处理 推力估计 

分 类 号：V233.7[航空宇航科学与技术—航空宇航推进理论与工程]