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15th IEEE Global Reliability and Prognostics and Health Management Conference, PHM-Beijing 2024

作者： Zhu, Yangyang Zeng, Jie Yang, Hainan Cui, Jinpeng Shao, Fan Shao, Minqiang Zhang, Yinxuan State Key Laboratory of Mechanics and Control for Aeros pace Structures Nanjing University of Aeronautics and Astr onautics No. 29 Yudao Street Nanjing210016 China COMAC Beijing Aircraft Technology Research Institute Commercial Aircraft Corporation of China Beijing China Shenyang Aircraft Design and Research Institute Aviation Industry Corporation of China Liaoning Shenyang110035 China

ISBN: (纸本)9798350354010

The dynamic response characteristics of civil aircraft are closely related to aerodynamic load, rotor speed, flight attit ude and other parameters under specific flight conditions. Ther efore, real-time identification of rotor blade dynamic modal pa rameters is of great significance for evaluating flight conditions and ensuring. flight ***, this paper proposes a ne w method of rotor blade modal parameter identification based on fiber optic strain sensing and fitting circle method. The fiber Bragg grating (FBG) sensor is used to collect the blade vibratio n strain signal in real time, and the fitting circle method is com bined to identify the modal parameters. The system frequency response error function matrix based on the strain response ch aracteristics is derived, and the fitting circle model including th e correlation coefficient of blade frequency response function is constructed. By solving the best fitting circle parameters, the i dentification of structural modal parameters is realized. On thi s basis, a composite blade modal parameter identification syste m based on quasi-distributed fiber strain sensing is constructed, and the vibration responses of 10 FBG sensors on the blade are collected under different working conditions. The natural freq uency and damping ratio of the blade are identified by the expe rimental method, and the corresponding modal pattern is recon structed. The research results break through the limitations of the normal-scale state parameter identification method, such as weak anti-noise interference, low resolution, false mode and di fficulty in order determination, which is helpful to improve the modal parameter identification accuracy and reduce the influe nce of noise. © 2024 IEEE.

关键词： Vibration analysis

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A Fault-Tolerant control Scheme for Civil aircraft Based on Prescribed Performance control

A Fault-Tolerant Control Scheme for Civil Aircraft Based on ...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Duan, Jingqi Wu, Yunjie Wang, Ziyu State Key Laboratory of Virtual Reality Technology and System Beihang University Beijing100191 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Science and Technology on Aircraft Control Laboratory Beijing100191 China Large Aircraft Advanced Training Center Beihang University Beijing100191 China

ISBN: (纸本)9789811966125

In this paper, a fault-tolerant control scheme based on prescribed performance control is proposed to solve the pitch angle attitude control problem of large civil aircraft when actuator faults and external disturbances exist simultaneously. Firstly, the longitudinal motion model of civil aircraft with actuator fault is established. Among them, actuator faults and external disturbances are regarded as lumped disturbances. Then, a performance envelope is constructed based on the hyperbolic cosecant function which can adjust the transient convergence rate and the steady convergence rate respectively. In order to achieve fast online estimation of lumped disturbances, an RBF neural network observer is constructed. The introduction of tracking differentiator solves the problems of initial state constraint of prescribed performance control and "differential-explosion" in back-stepping control. After proving the stability of the system from the perspective of theoretical analysis, the simulation of pitch angle control under the condition of abrupt actuator faults and external disturbance is completed based on Boeing 747 longitudinal motion model. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Attitude control

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A Novel Battery RUL Prediction Approach Based on Probabilistic Hyperparameter Optimization

A Novel Battery RUL Prediction Approach Based on Probabilist...

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IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Ziqi Wang Hongwen He Xuyang Zhao Sikai Gong Zhiqiang Zhou National Engineering Laboratory for Electric Vehicles National Key Laboratory of Advanced Vehicle Integration and Control Beijing Institute of Technology Beijing China

ISBN: (数字)9798350386127

ISBN: (纸本)9798350386134

The remaining useful life (RUL) of lithium-ion batteries, a pivotal metric for assessing battery performance and service life, is not amenable to direct measurement. To refine the precision of estimating the remaining useful lifespan for battery systems, this paper proposes a prediction method based on the Bayesian optimization algorithm for Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) neural networks. The research utilized the battery dataset provided by the MIT Stanford Toyota Research Institute. The method first preprocesses the battery data, selecting key health indicators (HI) through the Pearson correlation coefficient, and then estimates the RUL of the battery using LSTM and GRU networks. In order to augment the efficacy of the RUL estimation model, this paper applies Bayesian optimization technology to determine the optimal hyperparameters, thereby saving time required for model prediction.

关键词： Lithium-ion batteries Measurement Neural networks Predictive models Prediction algorithms Probabilistic logic Hyperparameter optimization Bayes methods Optimization Long short term memory

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An Offline Learning-Based Anti-interference Communication Scheme for UAV Networks 7th

An Offline Learning-Based Anti-interference Communication Sc...

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7th International Conference on Wireless Communications, Networking and Applications, WCNA 2023

作者： Tang, Tao Zhao, Runhui Wen, Hong Feng, Xuewei Shi, Weihong Peng, Yulin School of Aeronautics and Astronautics University of Electronic Science and Technology of China Chengdu611731 China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province Chengdu611731 China Sichuan Intelligent IoT Communication Technology Engineering Research Center UESTC Chengdu China

ISBN: (纸本)9789819624089

Unmanned Aerial Vehicles (UAV) face challenges from advanced interference technologies, making them susceptible to malicious node attacks, data interception, and tampering. Traditional anti-interference decisions have limitations, as they cannot adaptively adjust to changes in interference signals. Moreover, anti-interference communication models based on Deep Reinforcement Learning (DRL) require prolonged interactions with the environment, demanding high requirements for anti-interference environments. This paper investigates an offline anti-interference decision based on Decision-Transformers, which can quickly and stably acquire practical anti-interference decision models. Simulation experiments have verified the effectiveness of this algorithm in making anti-interference decisions under AWGN and fading channel conditions. Furthermore, this offline approach can achieve the expected reward targets with fewer training iterations. © The Author(s) 2025.

关键词： Deep reinforcement learning

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Simulation of the Pneumatic Retraction/Extension System for UAV Landing Gear

Simulation of the Pneumatic Retraction/Extension System for ...

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2022 CSAA/IET International Conference on aircraft Utility Systems, AUS 2022

作者： Qu, Zhiyuan Chen, Weijian Zhao, Jiali Zhang, Dalin Zhu, Guangya Key Laboratory of Aircraft Environment Control and Life Support Ministry of Industry and Information Technology Nanjing University of Aeronautics & Astronautics Nanjing China

ISBN: (数字)9781839537769

ISBN: (纸本)9781839537769

The retraction/extension system of landing gear uses cold air as the power to complete the extraction and extension by actuators. It is possible for UAV (Unmanned Aerial Vehicle) to meet with the condition of failure in landing gear when taking off and landing in extreme low temperature and low pressure. To verify the reliability of the system in terrible weather and ensure flight safety, we establish the simulation model based on AMEsim to trace the dynamic performance. Meanwhile, we compare the solution of simulation with experiment results. The results indicate that the simulation with consideration of heat exchange progress coincides with experimental results better than that in adiabatic progress. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Antennas

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Adaptive Flocking control of Uncertain Networked Agents for Tracking a Time-Varying Virtual Leader 13

Adaptive Flocking Control of Uncertain Networked Agents for ...

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13th IEEE International Conference on CYBER technology in Automation, control, and Intelligent Systems, CYBER 2023

作者： You, Long Shi, Mengji Yue, Jiangfeng Li, Weihao Lin, Boxian Qin, Kaiyu School of Aeronautics and Astronautics University of Electronic Science and Technology of China Chengdu611731 China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province Chengdu611731 China

ISBN: (纸本)9798350315196

This paper studies the adaptive flocking tracking problem of multi-agent systems. An adaptive flocking control scheme based on a radial basis neural network (RBFNN) is designed for multi-agent systems with nonlinear model uncertainties and a time-varying virtual leader. The model uncertainties are multifarious and the several states of the virtual leader are unknown. By introducing RBFNN with online updating of a weight matrix, the model uncertainties problem which may cause system destabilization is solved, and a distributed time-varying leader high-order information estimator is designed. Furthermore, the control protocol composed of the flocking control term, uncertainties compensation term, and state estimation term is proposed to accomplish adaptive flocking tracking control. The stability of the closed-loop system is proven based on the Lyapunov theory. Finally, the effectiveness of the proposed adaptive control scheme is verified by some simulation results. © 2023 IEEE.

关键词： Multi agent systems

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An Adaptive Physics-Informed Neural Network with Two-Stage Learning Strategy to Solve Partial Differential Equations

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Numerical Mathematics(Theory,Methods and Applications) 2023年第2期16卷 298-322页

作者： Shuyan Shi Ding Liu Ruirui Ji Yuchao Han School of Automation and Information Engineering Xi‘an University of TechnologyXi‘an 710048P.R.China National&Local Joint Engineering Research Center of Crystal Growth Equipment and System Integration Xi‘an 710048P.R.China Xi’an University of Technology Shannxi Key Laboratory of Complex System Control and Intelligent Information ProcessingXi‘an 710048P.R.China

Physics-Informed Neural Network(PINN)represents a new approach to solve Partial Differential Equations(PDEs).PINNs aim to solve PDEs by integrating governing equations and the initial/boundary conditions(I/BCs)into a loss ***,the imbalance of the loss function caused by parameter settings usually makes it difficult for PINNs to converge,*** they fall into local *** other words,the presence of balanced PDE loss,initial loss and boundary loss may be critical for the *** addition,existing PINNs are not able to reveal the hidden errors caused by non-convergent boundaries and conduction errors caused by the PDE near the ***,these problems have made PINN-based methods of limited use on practical *** this paper,we propose a novel physics-informed neural network,*** adaptive physics-informed neural network with a two-stage training *** algorithm adds spatio-temporal coefficient and PDE balance parameter to the loss function,and solve PDEs using a two-stage training process:pre-training and formal *** pre-training step ensures the convergence of boundary loss,whereas the formal training process completes the solution of PDE by balancing various loss *** order to verify the performance of our method,we consider the imbalanced heat conduction and Helmholtz equations often appearing in practical *** Klein-Gordon equation,which is widely used to compare performance,reveals that our method is able to reduce the hidden *** results confirm that our algorithm can effectively and accurately solve models with unbalanced loss function,hidden errors and conduction *** codes developed in this manuscript are publicy available at https://***/callmedrcom/ATPINN.

关键词： Physics informed neural networks partial differential equations two-stage learning scientific computing

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Study On The Shape Of Cogging Structure Of Rotor And Stator With Speed Sensor

Study On The Shape Of Cogging Structure Of Rotor And Stator ...

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2022 CSAA/IET International Conference on aircraft Utility Systems, AUS 2022

作者： Wang, Hongchao Jiang, Hongyan Lei, Tigao Wang, Yin Fan, Zhengmao Chen, Jin Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing China Nanjing Engineering Institute of Aircraft Systems AVIC Jincheng Jiangsu Nanjing211106 China

ISBN: (数字)9781839537769

ISBN: (纸本)9781839537769

The frequency of the output signal of the magneto-electric speed sensor is proportional to its rotate speed. The higher the amplitude of electromotive force is, the stronger the anti-interference ability of the sensor is. Based on a magneto-electric speed sensor, this paper briefly introduces its working principle. With the help of Maxwell simulation software, it describes the influence of the shape of cogging structure of stator and rotor on the electromotive force when the turns of coil cannot be changed, and gets the influence of different cogging structure on the electromotive force of the sensor. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Stators

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Simulation Study of Fuel Tank Inerting System

Simulation Study of Fuel Tank Inerting System

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2022 CSAA/IET International Conference on aircraft Utility Systems, AUS 2022

作者： Wang, Yangyang Wang, Chenchen Fuel System Department Nanjing Engineering Institute of Aircraft Systems AVIC Nanjing China The Aviation Electromechanical System Integration of Aviation Science and Technology Key Laboratory Nanjing China

ISBN: (数字)9781839537769

ISBN: (纸本)9781839537769

The mathematical model of fuel tank inerting system(FTIS) is established in this paper by using neural network method, then the performance of FTIS under the full flight envelope of A320 aircraft is calculated and compared with the experimental data to verify the accuracy of mathematical model, and finally the effect of ASM inlet pressure, ASM inlet temperature, ASM membrane area, fuel load, flow control mode on fuel tank oxygen concentration is analyzed. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Flight envelopes

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Optimization of Design Method for Thermal Shrinkable Backup Ring in aircraft Hydraulic Components 5th

Optimization of Design Method for Thermal Shrinkable Backup ...

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5th China Aviation Science and technology Conference, 2021

作者： Xu, Xiangrong Ge, Yibo Li, Changming Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing211106 China AVIC Jincheng Nanjing Engineering Institute of Aircraft System Nanjing211106 China

ISBN: (纸本)9789811674228

For the leakage failure caused by the damage of the rubber seal, the cause of the rubber ring damage is analyzed. Through the torsion and rapture of the rubber ring, the problem of thermal shrinkable poly tetrafluoroethylene (PTFE) backup ring heating over shrinkage is found. Finally, this failure is solved by optimizing the design method of the backup ring, including the reserved shrinkage, thickness compensation, etc. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Rubber

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