Adaptive modification of turbofan engine nonlinear model based on LSTM neural networks and hybrid optimization method

An accurate and reliable turbofan engine model which can describe its dynamic behavior within the full flight envelop and lifecycle plays a critical role in performance optimization, controller design and fault diagnosis. However, due to the performance differences caused by the tolerance of engine manufacturing and assembly, and performance degradation during continuously stringent environmental regulations, the model accuracy is severely reduced. In this paper, an adaptive modification method of turbofan engine nonlinear Component-Llevel Model (CLM) based on Long Short-Term Memory (LSTM) Neural Network (NN) and hybrid optimization algorithm is pro-posed. First, a dynamic compensator with a combined LSTM NN architecture is constructed to compensate for the initial error between the experimental data and CLM of a turbofan engine under health condition. Then, a sensitivity analysis approach based on the entropy coefficient and technique for order preference by similarity to an ideal solution integrated evaluation is developed to choose the unmeasurable health parameters to be adjusted. Finally, a parallel hybrid optimization algorithm is developed to complete the adaptive model modification when the performance degrades. The proposed method is verified on a military low-bypass twin-spool turbofan engine, and the experimental results show the effectiveness of the proposed method.     

Plume aerodynamic effects of cushion engine in lunar landing

 During the second period of China "Tanyue" Project, the explorer will softland on the moon. The cushion engines are used to decelerate the explorer and reduce the impact on the lunar ground. It is necessary to study its plume effects on the explorer component. The self-developed PWS (Plume WorkStation) software based on direct simulation Monte Carlo (DSMC) method is used to simulate the plume effects of two 150 N engines. Due to the complex structure of the explorer, PWS uses a decoupling method to treat the boundary mesh, which mainly interacts with simulation particles, and has no relation with the computational grids. After the analytical expressions of plane surfaces and curved surfaces of each boundary block are given, the particle position within or without the boundary blocks can be easily determined. Finally the 3D plume field of two 150 N engines is simulated. The pressure, temperature and velocity distributions of plume field are clearly presented by three characteristic slices. The aerodynamic effects on the explorer bottom, the landfall legs and antenna are separately shown. The compression influence on the plume flow of four landfall legs can be observed.     

Impact vibration reduction for flexible manipulators via controllable local degrees of freedom

When performing operation tasks, the interaction between a flexible manipulator and a grasped object usually results in an impact. In this paper, a new way is suggested to alleviate impact vibration of a flexible manipulator via its structural characteristic when capturing a moving object. Controllable local degrees of freedom are introduced to the topological structure of the flexible manipulator, and used as an effective tool to combat impact vibration through dynamic coupling. A corresponding method is put forward to reduce impact vibration responses of the flexible manip- ulator via the controllable local degrees of freedom. By planning motion of the controllable local degrees of freedom, appropriate control force can be constructed to increase the modal damping and stiffness and eliminate the exciting force simultaneously, thereby reducing impact vibration responses of the flexible manipulator. Simulations are conducted and results are shown to prove the presented method.     

Robust decentralized control design for aircraft engines: A fractional type

A new decentralized control for aircraft engines is proposed. In the proposed control approach, aircraft engines are considered as uncertain large-scale systems composed of interconnected uncertain subsystems. For each subsystem, the time-varying uncertainty, including parameter disturbances and interconnections in/between subsystems, is depicted by a class of general nonlinear functions. A fractional robust decentralized control with two parts, the nominal one and the fractional one, is presented. The nominal control guarantees the asymptotical stability of the engine system without uncertainty. The fractional part aims at overcoming the influences of uncertainty. Compared to the previous studies, the presented control provides not only an extra flexibility for the system performance tuning by the fraction-type gain but also a facility for the control input calculation. The proposed control approach is applied to a turbofan engine with two subsystems. The computer simulation shows that, in the flight envelope, the fractional control not only guarantees the closed-loop system uniform boundedness and ultimate uniform boundedness but also shows good economy.     

Design and feedforward control of large-rotation two-axis scan mirror assembly with MEMS sensor integration

As a key component of electro-optical systems, a Two-axis Scan mirror AssemblY(TSAY) is usually used for Line-of-Sight(LOS) precision pointing, tracking, scanning, and stabilizing. Therefore, it is necessary for a TSAY to have a large angular range, high dynamic characteristics, and small mirror surface distortion. Furthermore, vibration from carriers of electro-optical systems, such as spacecraft and airplanes, is inevitable, so it is critical to guarantee the control accuracy of a TSAY under vibration. In this paper, a TSAY prototype is designed and developed. To increase the control bandwidth, structural topology optimization is applied to the TSAY's elliptical mirror to reduce the moment of inertia, meanwhile keeping surface flatness. A flexible hinge is adopted to achieve a large angular range. To suppress the angular perturbation caused by the base linear vibration, an adaptive feedforward loop with base-integrated Micro-Electro-Mechanical System(MEMS) accelerators is constructed to enhance the TSAY's feedback loop. Simulation and experimental results show that the TSAY prototype's two-axis mechanical angular ranges are more than ±3.2°, the mirror surface flatness Root Mean Square(RMS) value is better than 0.04 k, and the closed-loop bandwidth is beyond 330 Hz. These are suitable for most applications. Besides, the angular perturbation caused by the base vibration can be suppressed more than 37.7% with the addition of the adaptive feedforward loop.     

航空发动机系统的动力分析

以包含复杂转子系统及支承结构系统的发动机总体模型为研究对象, 进行动态特性及动响应分析。为合理解决计算的准确性与经济性之间的矛盾, 提出了模态阻抗综合分析法, 将整体系统动力学问题化为低阶运动方程求解。应用按本文方法编制的程序对某型航发进行了整体动应力计算, 结果与实际相符。      

监视参数预测和故障识别法

将时间序列分析方法应用于航空发动机状态监视与故障诊断中, 采用自回归模型, 对监视参数进行趋势预测。进一步将时序分析与模式识别技术相结合, 通过构造判别函数和用参数相关分析法, 识别发动机典型故障。      

应用空间技术 GPS 监测地震

空间定位技术GPS 可以达到很高的相对定位精度(10~(-6)～10~(-8)),是监测地壳运动、进行地震预报的一种新手段。中国华北是一个地震活跃地区。应用GPS 技术在华北布设了一个地震监测网,经过精心观测、优化设计和严密平差,获得了高精度的第一期成果。华北GPS 网的建立将为大震预测和地球科学各领域的研究提供重要的科学依据。     

基于电涡流位移传感器的钛合金叶片振动疲劳试验研究

为了研究钛合金叶片振动疲劳特性,基于电磁振动测试平台和非接触式电涡流位移传感器,开展了试验工装和试验程序设计.通过本文的传感器标定和振动应力标定方法研究,发展了基于电涡流位移传感器的非接触测量式钛合金叶片振动疲劳试验手段,进而完成了疲劳考核试验和裂纹扩展试验,研究了裂纹长度和固有频率随疲劳循环数累积的变化规律.试验结果...     

YF—75发动机状态监控与故障诊断工程应用系统的研制

根据YF－75发动机状态监控与故障诊断工程应用系统（CMFDS）的研制情况，重点介绍了总体设计原则、系统功能、系统组成、系统结构、系统硬件组成与接口形式、发动机主要技术状态、故障模式分析、故障数据库建立、监测部件与监测参数选择等内容，对状态监控与故障诊断算法也做了较为详细的描述。最后，还给出了用YF－75发动机18次原始试车数据对CMFDS进行验证的情况，结果显示本系统具有很强的适应性和有效性。