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Neural Machine Translation by Fusing Key Information of Text

Computers, Materials & Continua 2023年第2期74卷 2803-2815页

作者： Shijie Hu Xiaoyu Li Jiayu Bai Hang Lei Weizhong Qian Sunqiang Hu Cong Zhang Akpatsa Samuel Kofi Qian Qiu Yong Zhou Shan Yang School of Information and Software Engineering University of Electronic Science and Technology of ChinaChengdu610054China Science and Technology on Altitude Simulation Laboratory Sichuan Gas Turbine Establishment Aero Engine Corporation of ChinaMianyang621000China School of Power and Energy Northwestern Polytechnical UniversityXi’an710072China School of Computer Science Southwest Petroleum UniversityChengdu610500China Department of Chemistry Physics and Atmospheric SciencesJackson State UniversityJacksonMS 39217USA

When the Transformer proposed by Google in 2017,it was first used for machine translation tasks and achieved the state of the art at that *** the current neural machine translation model can generate high quality translation results,there are still mistranslations and omissions in the translation of key information of long *** the other hand,the most important part in traditional translation tasks is the translation of key *** the translation results,as long as the key information is translated accurately and completely,even if other parts of the results are translated incorrect,the final translation results’quality can still be *** order to solve the problem of mistranslation and missed translation effectively,and improve the accuracy and completeness of long sentence translation in machine translation,this paper proposes a key information fused neural machine translation model based on *** model proposed in this paper extracts the keywords of the source language text separately as the input of the *** the same encoding as the source language text,it is fused with the output of the source language text encoded by the encoder,then the key information is processed and input into the *** incorporating keyword information from the source language sentence,the model’s performance in the task of translating long sentences is very *** order to verify the effectiveness of the method of fusion of key information proposed in this paper,a series of experiments were carried out on the verification *** experimental results show that the Bilingual Evaluation Understudy(BLEU)score of the model proposed in this paper on theWorkshop on Machine Translation(WMT)2017 test dataset is higher than the BLEU score of Transformer proposed by Google on the WMT2017 test *** experimental results show the advantages of the model proposed in this paper.

关键词： Key information transformer fusion neural machine translation

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The Fusion Model of Catalytic Combustion and Thermal Conductivity

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Computers, Materials & Continua 2023年第1期74卷 1509-1521页

作者： Bin Lin Zhengyu Li Dong Wen Jianchao Liu Shan Yang Yong Zhou Chao Lu Qian Qiu Sichuan Normal University Chengdu610066China School of Computer Science Southwest Petroleum UniversityChengdu610500China Jackson State University Jackson39217MSUSA Key Laboratory on Aero-Engine Altitude Simulation Technology Sichuan Gas Turbine EstablishmentAECCMianyang621000China School of Power and Energy Northwestern Polytechnical UniversityXi’an710072China

The further development of catalytic elements has been plagued by activation and binary *** automatic shift model that has emerged in recent years helps components achieve full ***,the detection data still remains unstable in the shift area(7%∼13%).This paper proposes a Catalytic Combustion and Thermal Conductivity(CCTC)model for the specified range,which can be explained fromtwo aspects based on the existing *** the one hand,it uses iterative location search to process heterogeneous data,judges the prediction position of data points,and then givesweight *** the other hand,it corrects the abnormal points,determines the abnormal points in the horizontal direction,and gives the replacement value through the data of adjacent *** experimental results show that the CCTC model reduces the sum of variance from 17 of the automatic shift model to 13,and the comparison of experimental variance is reduced by 23%.In the full-scale real-time data,the experimental variance of CCTC model and automatic shift model is reduced by 18%.In conclusion,CCTC is a cross section stability framework for full-scale methane measurement,in which the specified heterogeneous combination and anomaly point correction methods improve the stability.

关键词： Catalytic combustion thermal conductivity activation problem binary problem data fusion

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A New Time Optimal Control based Tracking Differentiator with Small Phase Lag 43

A New Time Optimal Control based Tracking Differentiator wit...

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43rd Chinese Control Conference, CCC 2024

作者： Zhang, Louyue Zhang, Hehong Zhai, Chao Wang, Xi Dan, Zhihong Beihang University School of Energy and Power Engineering Beijing102206 China Fuzhou University College of Computer and Data Science Fuzhou350108 China China University of Geosciences School of Automation Wuhan430074 China AECC Sichuan Gas Turbine Establishment Mianyang Science and Technology on Altitude Simulation Laboratory 621703 China

ISBN: (纸本)9789887581581

Real-time filtering and derivative signals with as small phase lag as possible are of great significance for control performances. In this work, an enhanced time optimal control (referred as f sa) based tracking differentiator (TD) is proposed, which can guarantee a small phase lag in both filtering and differential signals for a class of input signals with different levels of noises. This characteristic is achieved by introducing a damping coefficient to the boundary transformation function of the time-optimal control algorithm. simulation results show that the proposed f s a based TD outperforms the fhan based TD in both filtering and differentiation © 2024 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Damping

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Fault Diagnosis for Hydraulic Loading System of altitude simulation Test Facility Based on Multichannel 1D-CNN 13

Fault Diagnosis for Hydraulic Loading System of Altitude Sim...

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13th International Conference on Mechanical and Aerospace Engineering, ICMAE 2022

作者： Guo, Pengfei Peng, Jin Zhao, Wanli Diao, Xinyu Guo, Yingqing Northwestern Polytechnical University School of Power and Energy Xi'an710072 China Aecc Sichuan Gas Turbine Establishment Science and Technology on Altitude Simulation Laboratory Mianyang621700 China

ISBN: (数字)9781665472357

ISBN: (纸本)9781665472357

The hydraulic loading system is the system that simulates the operation of the aircraft airborne pump by extracting the power of the aero-engine during the altitude simulation test, and its safety and stability is very important during operation. Aiming at the shortcomings of traditional fault diagnosis in feature extraction, the intelligent method based on deep learning combines feature extraction and classification to automatically isolate faults. In this paper, a method based on multi-channel one-dimensional convolutional neural network(1D-CNN) for fault diagnosis of hydraulic loading system is proposed. First, the four sequential sensor signals are preprocessed to form the input of the multi-channel 1D-CNN. Then, Multi-channel CNN extracts complex features from sensor signals and fuses features deeply. Finally, fully connected layer uses extracted features for fault classification. This paper uses indicators such as precision rate, recall rate and confusion matrix to analyze the effect of fault diagnosis. Compared with the multi-layer perceptron-based fault diagnosis method, the multi-channel 1D-CNN has higher accuracy and solves the problem of misjudging the health state as a fault. Experiments show that the method based on multi-channel 1D-CNN can effectively and accurately identify faults of the hydraulic loading system of altitude simulation test platform (HLS-ASTF). © 2022 IEEE.

关键词： Failure analysis

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Finite-time Sliding Mode Control Method for a Class of Air Intake Testing Devices

Finite-time Sliding Mode Control Method for a Class of Air I...

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Artificial Intelligence and Intelligent Manufacturing (AIIM), International Symposium on

作者： Yunli Li Ming Pu Gexiang Zhang Zhihong Dan Song Zhang School of Automation Chengdu University of Information Technology Chengdu China Science and Technology on Altitude Simulation Laboratory AECC Sichuan Gas Turbine Establishment Mianyang China

ISBN: (数字)9798331541729

ISBN: (纸本)9798331541736

This paper proposes a novel finite-time sliding mode control method for the enhancement of the velocity and precision in the control of temperature and pressure within a class of air intake testing devices. Initially, a simulation model of the device without heat transfer characteristics is constructed in MATLAB, followed by the design of a sliding mode control strategy for the device. Then an auxiliary function characterized by a normal distribution is introduced, facilitating the formulation of a novel finite-time reaching law and an integral sliding mode surface, and culminating in the derivation of a finite-time sliding mode controller. Employing the Lyapunov stability theorem, it is demonstrated that the system state attains its equilibrium point within a finite time. Finally, three different reaching laws are used with the proposed sliding mode surface to construct the three controllers. simulation experiments are conducted in the simulation model using the aforementioned three sliding mode controllers. The simulation results indicate that the sliding mode controller under the influence of the reaching laws presented in this paper significantly enhances the servo tracking performance of temperature and pressure.

关键词： Performance evaluation Temperature Atmospheric modeling simulation Mathematical models Temperature control Servomotors Sliding mode control Heat transfer Testing

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Adaptive Active Disturbance Rejection Control based on Coupling Coefficient with Applications to Flight Environment simulation System

Adaptive Active Disturbance Rejection Control based on Coupl...

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第43届中国控制会议

作者： Linfeng Wu Qiumeng Qian Chao Zhai Hehong Zhang School of Future Technology China University of Geosciences Science and Technology on Altitude Simulation Laboratory AECC Sichuan Gas Turbine Establishment College of Computer Science and Big Data Fuzhou University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

The ability of a high-altitude test bench flight environment simulation system to accurately simulate high-altitude environmental parameters plays a crucial role in the performance testing and evaluation of aviation engines. However, the strong coupling between controlled pressure and temperature variables in the core air intake environment simulation subsystem, along with sensor measurement noise, limits the overall control quality of environmental parameters. For this purpose, this paper proposes an adaptive active disturbance rejection control based on coupling degree identification, abbreviated as AADRC, which efficiently matches the system control channels while solving the flight environment simulation control problems caused by variable coupling and measurement noise. Based on the relative gain array method, the coupling degree of the control variables of the linearized system is identified, providing a matched control loop for the high-temperature gas control valve and the lowtemperature gas control valve. Considering the impact of sensor measurement noise on the performance of active disturbance rejection control, an adaptive extended state observer with adaptive bandwidth adjustment method based on relative gain array method, referred to as AESO, is proposed.

关键词： ight environment simulation platform decoupled control algorithms relative gain array active disturbance rejection control coupling analysis extended state observer

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A review of modeling,simulation,and control technologies of altitude ground test facilities for control application

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Chinese Journal of Aeronautics 2023年第9期36卷 38-62页

作者： Xitong PEI Xi WANG Jiashuai LIU Meiyin ZHU Zhihong DAN Ai HE Keqiang MIAO Louyue ZHANG Zheng XU Research Institute of Aero-Engine Beihang UniversityBeijing 100191China Science and Technology on Altitude Simulation Laboratory AECC Sichuan Gas Turbine EstablishmentMianyang 621703China School of Energy and Power Engineering Beihang UniversityBeijing 100191China Beihang Hangzhou Innovation Institute Yuhang Hangzhou 310023China Institute for Aero Engine Tsinghua UniversityBeijing 100084China Institute of Engineering Thermophysics Chinese Academy of SciencesBeijing 100190China

As the pivotal test equipment of aero-engines design,finalization,improvement,modification,etc.,the altitude Ground Test Facilities(AGTF)plays an important role in the research and development of the *** the rapid development of advanced high-performance aeroengine,the increasing demand of high-altitude simulation test is driving AGTF to improve its test ability and level of automation and *** modeling method,simulation tool,and control technology are the key factors to support the improvement of the AGTF control *** main purpose of this paper is to provide an overview of modeling methods,simulation tools,and control technologies in AGTF control system for future ***,it reviews the evolution of AGTF in the world,from the early formative stage to integration ***,the mathematical modeling method of AGTF for control application is ***,the simulation tools used in the AGTF control system are overviewed from numerical simulation to hardware-in-loop simulation and further to semi-physical ***,the control technologies used in the AGTF control system are summarized from single-variable control to multivariable integrated control,and from classical control theory to modern control ***,recommendations for future research are ***,this review article provides extensive literature information for the modeling,simulation,and control design of AGTF for control application.

关键词： altitude ground test facilities Control system Modeling and simulation Robust control Temperature and pressure control

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A New Time Optimal Control based Tracking Differentiator with Small Phase Lag

A New Time Optimal Control based Tracking Differentiator wit...

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第43届中国控制会议

作者： Louyue Zhang Hehong Zhang Chao Zhai Xi Wang Zhihong Dan School of Energy and Power Engineering Beihang University College of Computer and Data Science Fuzhou University Science and Technology on Altitude Simulation Laboratory AECC Sichuan Gas Turbine Establishment Mianyang

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Real-time filtering and derivative signals with as small phase lag as possible are of great significance for control performances. In this work, an enhanced time optimal control(referred as f sa) based tracking differentiator(TD) is proposed,which can guarantee a small phase lag in both filtering and differential signals for a class of input signals with different levels of noises. This characteristic is achieved by introducing a damping coefficient to the boundary transformation function of the time-optimal control algorithm. simulation results show that the proposed f sa based TD outperforms the fhan based TD in both filtering and differentiation.

关键词： tracking differentiator filtering differentiation phase lag system damping

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Modified robust optimal adaptive control for flight environment simulation system with heat transfer uncertainty

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Chinese Journal of Aeronautics 2021年第2期34卷 420-431页

作者： Meiyin ZHU Xi WANG Xitong PEI Song ZHANG Zhihong DAN Nannan GU Shubo YANG Keqiang MIAO Huairong CHEN Jiashuai LIU School of Energy and Power Engineering Beihang UniversityBeijing 100083China Collaborative Innovation Center for Advanced Aero Engine Bejing 100083China Science and Technology on Altitude Simulation Laboratory AECC(Aero Engine Corporation of China)Sichuan Gas Turbine EstablishmentMianyang 621000China

To solve the rapid transient control problem of Flight Environment simulation System(FESS) of altitude Ground Test Facilities(AGTF) with large heat transfer uncertainty and disturbance, a new adaptive control structure of modified robust optimal adaptive control is *** mathematic modeling of FESS is given and the influence of heat transfer is analyzed through energy view. To consider the influence of heat transfer in controller design, we introduce a matched uncertainty that represents heat transfer influence in the linearized system of FESS. Based on this linear system, we deduce the design of modified robust optimal adaptive control law in a general way. Meanwhile, the robust stability of the modified robust optimal adaptive control law is proved through using Lyapunov stability theory. Then, a typical aero-engine test condition with Mach Dash and Zoom-Climb is used to verify the effectiveness of the devised adaptive controller. The simulation results show that the designed controller has servo tracking and disturbance rejection performance under heat transfer uncertainty and disturbance;the relative steady-state and dynamic errors of pressure and temperature are both smaller than 1% and 0.2% respectively. Furthermore,the influence of the modification parameter c is analyzed through simulation. Finally, comparing with the standard ideal model reference adaptive controller, the modified robust optimal adaptive controller obviously provides better control performance than the ideal model reference adaptive controller does.

关键词： altitude ground test facilities Flight environment simulation system Heat transfer Model reference adaptive control Optimal control modification Uncertainty

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The Continuous State Control of Flight Environment Testbed Based on State Feedback and LPV

The Continuous State Control of Flight Environment Testbed B...

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International Conference on Autonomous Unmanned Systems, ICAUS 2021

作者： Lun, Yuebin Wang, Honglun Zhang, Song Dan, Zhihong Qian, Qiumeng Pei, Xitong Yang, Zhiyuan School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China Shenyuan Honors College Beihang University Beijing100191 China Science and Technology on Altitude Simulation Laboratory Sichuan Gas Turbine Establishment Aero Engine Corporation of China Sichuan Mianyang621000 China

ISBN: (纸本)9789811694912

Flight environment testbed (FET) of altitude Ground Test Facilities (AGTF) is gradually become the main method of engine testing and simulation. FET is a two-input two-output nonlinear system, and there is a large coupling between the two input and output channels. At present, there are few researches on decoupling of the FET system, so we propose to use the classical state feedback method to achieve it. Considering that the simulation of FET is often a continuous task profile, the linear parameter varying (LPV) is combined with state feedback control in this study to realize continuous state control. The linearization of the system and the LPV will generate certain errors, we propose to add the extended state observer (ESO) to estimate and compensate the errors. Finally, the effectiveness of the proposed method is proved by comparing with the traditional PID method. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： State feedback

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