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2023 China Automation Congress, CAC 2023

作者： Gao, Zhihao Fan, Junfang Dou, Denghui Ji, Yi Li, Yafeng Wu, Jinmin School of Automation Beijing Information Science and Technology University Beijing China Beijing Key Laboratory of High Dynamic Navigation Technology Beijing China School of Aerospace Engineering Beijing Institute of Technology Beijing China Beijing Key Laboratory of Uav Autonomous Control Beijing Institute of Technology Beijing China

ISBN: (纸本)9798350303759

To enhance the destructive capabilities of small air-to-surface missiles, it is necessary to address the challenges related to terminal attack angle constraints and multi-missile coordinated attacks, we propose a cooperative guidance law with multi-constraint based on deep reinforcement learning in this paper. Firstly, an intelligent control term is introduced into the biased proportional navigation law with angle constraints. Secondly, a reward function is designed to reduce terminal attack angle error and flight time error, ensuring that the missile successfully reaches the target within the expected flight time, while simultaneously converging the attack angle to the desired value. Finally, the deep deterministic policy gradient algorithm is employed for the purpose of training and generating intelligent guidance instructions. Simulation results substantiate the efficacy of the devised guidance method in achieving accurate target strikes, both for individual missiles and in scenarios involving multiple missiles. And exhibiting better stability and guidance accuracy compared to the traditional biased proportional navigation law. © 2023 IEEE.

关键词： Reinforcement learning

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Numerical study on ethylene-air continuous rotating detonation in annular combustors with different widths

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Journal of Zhejiang University-science A(Applied Physics & Engineering) 2022年第5期23卷 388-404页

作者： Wei-jie FAN Wei-dong LIU Hao-yang PENG Shi-jie LIU Jian SUN Science and Technology on Scramjet Laboratory College of Aerospace Science and TechnologyNational University of Defense TechnologyChangsha 410073China State Key Laboratory of Aerospace Dynamic Satellite Control CenterXi’an 710043China

To investigate the impact of combustor width on continuous rotating detonation(CRD)fueled by ethylene and air,a series of 3 D simulations are conducted by changing the inner cylinder radius of an annular combustor while retaining the same outer cylinder *** results show that the CRD wave propagates more steadily and faster as the combustor width *** high-temperature zone at the backward-facing step preheats the propellants and contributes to the steady propagation of the CRD wave in 25-and 30-mm wide *** highest and the lowest velocities are obtained in the30-and 15-mm wide combustors at,respectively,1880.27 and 1681.01 m/*** the other hand,the average thrust decreases as the combustor width *** highest thrust is obtained in the 15-mm wide combustor while the lowest is in the 30-mm wide combustor,at 758.06 and 525.93 N,***,the thrust is much more stable in the 25-and 30-mm wide combustors than in the 15-and 20-mm wide combustors.

关键词： Continuous rotating detonation(CRD) Ethylene-air Combustor width Propagation mode Propulsive performance

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A Deep Reinforcement Learning-Based Guidance Law with Impact Angle Constraint

A Deep Reinforcement Learning-Based Guidance Law with Impact...

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2023 China Automation Congress, CAC 2023

作者： Wang, Xu Fan, Junfang Dou, Denghui Ji, Yi Li, Yafeng Wu, Jinmin School of Automation Beijing Information Science and Technology University Beijing China Beijing Key Laboratory of High Dynamic Navigation Technology Beijing China School of Aerospace Engineering Beijing Institute of Technology Beijing China Beijing Key Laboratory of Uav Autonomous Control Beijing Institute of Technology Beijing China

ISBN: (纸本)9798350303759

Addressing the challenge of ineffective impact angle control when employing conventional biased proportional navigation guidance for precision-guided missiles against maneuvering targets, this study proposes a guidance law with impact angle constraint by integrating deep reinforcement learning algorithms with biased proportional navigation guidance. The algorithm enhances traditional proportional navigation guidance by introducing a target maneuver compensation bias term. This bias term is treated as an action in a learning framework and optimized using the Proximal Policy Optimization algorithm. Simulation experiments validate that the proposed algorithm, compared to conventional proportional navigation guidance, not only reduces miss distance and impact angle error but also shortens flight time. © 2023 IEEE.

关键词： Reinforcement learning

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Research on a projectile-borne measuring apparatus for electromagnetic launcher 4

Research on a projectile-borne measuring apparatus for elect...

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4th International Conference on Mechanical, Electric and Industrial Engineering, MEIE 2021

作者： Cao, Ronggang Hu, Xueyi Dong, Erwa Ma, Xiao Zhou, Yu Science and Technology on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing China

In order to evaluate the electromagnetic launch effectiveness and understand the corrosion damage of the electromagnetic launcher, it is necessary to master the magnetic field data in the bore. At present, there is no related research on the measurement of the bore magnetic field of the electromagnetic launcher. Therefore, a small-scale projectile-borne measuring apparatus based on B-dot probe is developed in this paper. This apparatus uses FPGA as the core. Through the static magnetic field measurement experiment, the data of the induced voltage and the induced magnetic field can be obtained. The projectile-borne magnetic field measuring apparatus designed in this paper can accurately measure the bore magnetic field of the electromagnetic launcher, which lays the foundation for further analysis of the influence of the electromagnetic field in the bore on the launch effect and investigation of the corrosion damage of the electromagnetic launcher. © Published under licence by IOP Publishing Ltd.

关键词： Projectiles

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Feature Extraction and Recognition of Typical Targets by Linear Array LiDAR 2

Feature Extraction and Recognition of Typical Targets by Lin...

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2nd International Conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2021

作者： Huo, Jian Yang, Xu Beijing Institute of Technology Science and Technology on Electromechanical Dynamic Control Laboratory Beijing China

ISBN: (纸本)9781665407649

Aiming at solving the problem that the precision of existing algorithms for sparse point cloud image is unsatisfactory, a target recognition algorithm based on the combination of target shape characteristics and LiDAR echo intensity is proposed. By analyzing and processing the linear array scanning data of the target, remove the ground point cloud by using the point cloud elevation information histogram and the adaptive threshold method of the number of point clouds. On this basis, the mathematical morphology algorithm is used to filter the typical nontarget objects. Finally, the algorithm combining the target shape characteristics and echo intensity is used to realize the accurate recognition of the target. The results show that the algorithm is efficient and easy to implement, and has a good recognition effect on sparse point cloud targets. © 2021 IEEE.

关键词： Optical radar

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Design, Optimization and Performance Analysis of Permanent Magnet Synchronous Generator for Fuze

Design, Optimization and Performance Analysis of Permanent M...

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2023 IEEE International Conference on control, Electronics and Computer technology, ICCECT 2023

作者： Guo, Zhaoxuan He, Guanglin Ma, Guangsong Zhang, Yulong Qiao, Zenghui Beijing Institute of Technology Science and Technology on Electromechanical Dynamic Control Laboratory Beijing China Xi'An Institute of Electromechanical Information Technology Xi'an China Beijing Electro-Mechanical Engineering Institution Beijing China PLA Strategic Support Force Tianjin China

ISBN: (纸本)9798350399028

In order to solve the power supply problem of the fuze on the small-caliber projectile and improve the reliability of the fuze power supply, a miniaturized fuze turbine permanent magnet synchronous generator (PMSG) is designed in this paper, which is a physical power supply driven by wind. In order to improve the electromagnetic performance of the design schemes, this paper proposes a methodology based on dimensional parameters optimization, optimizes the design parameters based on the Rotational Motor Expert (RMxprt) module, and then conducts electromagnetic performance analysis based on the Maxwell 2D module. Finally, according to the performance parameters, the scheme with 6-pole 9-slot mode is selected among the two schemes with different pole-to-slot ratio, its load line voltage is 21.53 V, and the rated load output power is 47.15 W, which meets the design requirements. © 2023 IEEE.

关键词： Permanent magnets

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A Symmetry Treatment in Cylindrical Explicit and Unconditionally Stable FDTD Method

A Symmetry Treatment in Cylindrical Explicit and Uncondition...

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International Symposium on Antennas, Propagation and EM Theory (ISAPE)

作者： Sihan Zhao Bing Wei Yuanfei Hui Tie Li Gang Li Tiantian Feng Science and Technology on Electromechanical Dynamic Control Laboratory Xi'an China School of Physics Xidian University Xi'an China

ISBN: (数字)9798350353129

ISBN: (纸本)9798350353136

A symmetry treatment in cylindrical explicit and unconditionally stable FDTD (CEUS-FDTD) method is given. The system matrix of CEUS-FDTD method is unsymmetric, which will render instability since the explicit central–difference scheme is used for temporal discretization. By splitting the grid matrix reasonably and modifying the corresponding coefficients, the system matrix is transformed into a new symmetric matrix compulsively. Then an additional diagonal matrix will be obtained naturally on the other side of the equation to ensure that the time marching equation still holds. At last, unstable modes could be obtained by solving generalized eigenvalue problem of the new symmetric system matrix with respect to the diagonal matrix. Numerical results illustrates that the stability of CEUS-FDTD could be ensured and the accuracy would not be affected.

关键词： Symmetric matrices Accuracy Antenna theory Power system stability Eigenvalues and eigenfunctions Time-domain analysis Numerical stability Finite difference methods

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Structural and optical characteristics of InAs0.02Sb0.82N0.16thick epilayers grown by melt epitaxy

Structural and optical characteristics of InAs0.02Sb0.82N0.1...

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2023 Advanced Fiber Laser Conference, AFL 2023

作者： Gao, Yuzhu Chen, Zun Tian Hayakawa, Yasuhiro College of Electronics and Information Engineering Tongji University Shanghai201804 China Science and Technology on Electromechanical Dynamic Control Laboratory Xian710061 China Research Institute of Electronics Shizuoka University Johoku 3-5-1 Hamamatsu432-8011 Japan

ISBN: (纸本)9781510677661

InAs0.02Sb0.82N0.16 thick epilayers have been grown on InAs substrates by melt epitaxy (ME) technology. Fourier transform infrared (FTIR) transmission spectra showed that the cutoff wavelength of InAs0.02Sb0.82N0.16 samples grown by ME is 10.0 μm indicating the band gap narrowing. The thickness of the epilayers grown by ME observed by scanning electron microscopy (SEM) reaches 183 μm. X-ray diffraction (XRD) measurements confirmed that the epilayers are single crystals. The full-width at half-maximum (FWHM) of InAs0.02Sb0.82N0.16 (400) CuKα1 diffraction peak is 298.8 arcsec. The high quality of the crystals benefits from the thickness of the epilayers exceeding 100 μm, which significantly suppresses the effect of the lattice mismatch between InAs0.02Sb0.82N0.16 epilayers and InAs substrates. Energy dispersive spectrometer (EDS) attached SEM measurements revealed that 16% nitrogen has been incorporated in the epilayers. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： III-V semiconductors

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Assault Rifle Detection and Identification Based on Convolutional Neural Network YOLOv3 3

Assault Rifle Detection and Identification Based on Convolut...

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3rd World Symposium on Artificial Intelligence, WSAI 2021

作者： Ma, Yunfei Chen, Huimin Huo, Jian Beijing Institute of Technology Science and Technology on Electromechanical Dynamic Control Laboratory Beijing China

ISBN: (纸本)9780738143033

In modern war, armies from different countries have different weapons for infantry. Therefore, identifying the weapons held by infantry helps to determine their affiliations. In this paper, we have built our dataset of different types of assault rifles from photos. The dataset was trained using the convolutional neural network YOLOv3. Several different real videos were used to verify the YOLOv3 training results. The experiments show that the model can detect and identify assault rifles in different scenes. It proves to work with a good accuracy and can be used in real time on battlefield. © 2021 IEEE.

关键词： Object detection

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Application of Ulaby Model in Simulation of Altimeter Fuze 13

Application of Ulaby Model in Simulation of Altimeter Fuze

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13th International Symposium on Antennas, Propagation and EM Theory, ISAPE 2021

作者： Gao, Sicheng Li, Tie Li, Wei Tian, Bo Science and Technology on Electromechanical Dynamic Control Laboratory Shaanxi Xi'an710061 China

ISBN: (纸本)9781665418126

In order to solve the problem that the application mechanism of scattering information of background of surface features in the design process of altimeter fuze is not clear, a simulation method of altimeter fuze based on Ulaby model is proposed. This method is based on the Ulaby model to model the target characteristics of background of surface features. The target characteristics information is used as the input information of fuze detection in the missile target encounter process, adopting the digital signal processing method. The response characteristic model of fuze target detection is established, and the response simulation of fuze detection to the time-varying scattering characteristics of background of surface features in the process of missile target encounter is carried out, and the response characteristics of echo and IF signal processing are clearly reproduced. The experimental results show that Ulaby model can be used to distinguish different background of surface features types. The target type information is added as another dimensional fuze detection information, and the detection accuracy is further improved by combining the height information. © 2021 IEEE.

关键词： Digital signal processing

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