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6th International Conference on System Reliability and Safety engineering, SRSE 2024

作者： Liu, Weiming Chen, Cen Xiao, Kaiwen Feng, Mingtao Zhang, Haonan Zhai, Guofu Harbin Institute of Technology Department of Electrical Engineering & Automation Harbin China Beijing Aerospace Automatic Control Institute Beijing China Harbin Institute of Technology Harbin China

ISBN: (纸本)9798350356083

Sneak circuit analysis is a crucial reliability design process. In the design of spacecraft electronic systems, it is challenging to identify sneak circuits related to integrated chip interface circuits, and there are few targeted researches. In extreme working conditions, the coupling sneak circuits caused by the failure of integrated chips are difficult to identify, affecting the design optimization. The paper proposes a typical interface information specification model for integrated chips to simulate the electrical information characteristics of interfaces. And the typical failure models of intrinsic components inside the chip are determined through multi-physics field analysis. Then, based on the digital model, a sneak circuit diagnosis process based on excitation and fault injection are proposed, and a sneak circuit screening method based on Python virtual prototyping is implemented in the case study. Finally, the design constraint clues for the chip's external circuit are obtained, which provides a reference for related fault diagnosis and reliability optimization works. © 2024 IEEE.

关键词： Integrated circuit design

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A Real-Time Semantic Segmentation Method Based on Transformer for Autonomous Driving

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Computers, Materials & Continua 2024年第12期81卷 4419-4433页

作者： Weiyu Hao Jingyi Wang Huimin Lu Donald Bren School of Information and Computer Sciences University of CaliforniaIrvineCA 92612USA Department of Control Engineering Kyushu Institute of TechnologyKitakyushu804-8550Japan School of Automation Southeast UniversityNanjing210096China

While traditional Convolutional Neural Network(CNN)-based semantic segmentation methods have proven effective,they often encounter significant computational challenges due to the requirement for dense pixel-level predictions,which complicates real-time *** address this,we introduce an advanced real-time semantic segmentation strategy specifically designed for autonomous driving,utilizing the capabilities of Visual *** leveraging the self-attention mechanism inherent in Visual Transformers,our method enhances global contextual awareness,refining the representation of each pixel in relation to the overall *** enhancement is critical for quickly and accurately interpreting the complex elements within driving sce-narios—a fundamental need for autonomous *** experiments conducted on the DriveSeg autonomous driving dataset indicate that our model surpasses traditional segmentation methods,achieving a significant 4.5%improvement in Mean Intersection over Union(mIoU)while maintaining real-time *** paper not only underscores the potential for optimized semantic segmentation but also establishes a promising direction for real-time processing in autonomous navigation *** work will focus on integrating this technique with other perception modules in autonomous driving to further improve the robustness and efficiency of self-driving perception frameworks,thereby opening new pathways for research and practical applications in scenarios requiring rapid and precise decision-making *** experimentation and adaptation of this model could lead to broader implications for the fields of machine learning and computer vision,particularly in enhancing the interaction between automated systems and their dynamic environments.

关键词： Visual transformer semantic segmentation autonomous driving

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Deep reinforcement learning guidance with impact time control

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Journal of Systems engineering and Electronics 2024年第6期35卷 1594-1603页

作者： LI Guofei LI Shituo LI Bohao WU Yunjie School of Astronautics Northwestern Polytechnical UniversityXi’an 710072China Beijing Institute of Control and Electronic Technology Beijing 100038China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China

In consideration of the field-of-view(FOV)angle con-straint,this study focuses on the guidance problem with impact time control.A deep reinforcement learning guidance method is given for the missile to obtain the desired impact time and meet the demand of FOV angle *** basis of the framework of the proportional navigation guidance,an auxiliary control term is supplemented by the distributed deep deterministic policy gradient algorithm,in which the reward functions are developed to decrease the time-to-go error and improve the terminal guid-ance *** numerical simulation demonstrates that the missile governed by the presented deep reinforcement learning guidance law can hit the target successfully at appointed arrival time.

关键词： impact time deep reinforcement learning guidance law field-of-view(FOV)angle deep deterministic policy gradient

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Polyphonic sound event localization and detection based on Multiple Attention Fusion ResNet

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Mathematical Biosciences and engineering 2024年第2期21卷 2004-2023页

作者： Zhang, Shouming Zhang, Yaling Liao, Yixiao Pang, Kunkun Wan, Zhiyong Zhou, Songbin Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650500 China Institute of Intelligent Manufacturing Guangdong Academy of Science Guangdong Key Laboratory of Modern Control Technology Guangzhou510030 China

Sound event localization and detection have been applied in various fields. Due to the polyphony and noise interference, it becomes challenging to accurately predict the sound event and their occurrence locations. Aiming at this problem, we propose a Multiple Attention Fusion ResNet, which uses ResNet34 as the base network. Given the situation that the sound duration is not fixed, and there are multiple polyphonic and noise, we introduce the Gated Channel Transform to enhance the residual basic block. This enables the model to capture contextual information, evaluate channel weights, and reduce the interference caused by polyphony and noise. Furthermore, Split Attention is introduced to the model for capturing cross-channel information, which enhances the ability to distinguish the polyphony. Finally, Coordinate Attention is introduced to the model so that the model can focus on both the channel information and spatial location information of sound events. Experiments were conducted on two different datasets, TAU-NIGENS Spatial Sound Events 2020, and TAU-NIGENS Spatial Sound Events 2021. The results demonstrate that the proposed model significantly outperforms state-of-the-art methods under multiple polyphonic and noise-directional interference environments and it achieves competitive performance under a single polyphonic environment. ©2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License.

关键词： Deep learning

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Bayesian Filtering for High-Dimensional State-Space Models With State Partition and Error Compensation

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IEEE/CAA Journal of Automatica Sinica 2024年第5期11卷 1239-1249页

作者： Ke Li Shunyi Zhao Biao Huang Fei Liu Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Institute of AutomationJiangnan UniversityWuxi 214122China Department of Chemical and Materials Engineering University of AlbertaEdmonton AB T6G 2G6Canada

In the era of exponential growth of data availability,the architecture of systems has a trend toward high dimensionality,and directly exploiting holistic information for state inference is not always computationally *** paper proposes a novel Bayesian filtering algorithm that considers algorithmic computational cost and estimation accuracy for high-dimensional linear *** high-dimensional state vector is divided into several blocks to save computation resources by avoiding the calculation of error covariance with immense *** that,two sequential states are estimated simultaneously by introducing an auxiliary variable in the new probability space,mitigating the performance degradation caused by state ***,the computational cost and error covariance of the proposed algorithm are analyzed analytically to show its distinct features compared with several existing *** results illustrate that the proposed Bayesian filtering can maintain a higher estimation accuracy with reasonable computational cost when applied to high-dimensional linear systems.

关键词： filtering estimation error

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Method of improving pedestrian navigation performance based on chest card

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Journal of Systems engineering and Electronics 2024年第4期35卷 987-998页

作者： CHENG Hao GAO Shuang CAI Xiaowen WANG Yuxuan WANG Jie School of Instrumentation and Optoelectronic Engineering Beihang UniversityBeijing 100191China School of Automation and Electronic Information Xiangtan UniversityXiangtan 411105China Navigation Guidance and Control Graduate School of the Second Institute of China Aerospace Science and Industry CorporationBeijing 100854China

With the development of positioning technology,loca-tion services are constantly in demand by *** a primary location service pedestrian navigation has two main approaches based on radio and inertial *** pedestrian naviga-tion based on radio is subject to environmental occlusion lead-ing to the degradation of positioning *** pedestrian navigation based on micro-electro-mechanical system inertial measurement unit(MIMU)is less susceptible to environmental interference,but its errors dissipate over *** this paper,a chest card pedestrian navigation improvement method based on complementary correction is proposed in order to suppress the error divergence of inertial navigation *** suppress atti-tude errors,optimal feedback coefficients are established by pedestrian motion *** extend navigation time and improve positioning accuracy,the step length in subsequent movements is compensated by the first step *** experi-mental results show that the positioning accuracy of the pro-posed method is improved by more than 47%and 44%com-pared with the pure inertia-based method combined with step compensation and the traditional complementary filtering com-bined method with step *** proposed method can effectively suppress the error dispersion and improve the positioning accuracy.

关键词： pedestrian navigation micro-electro-mechanical sy-stem(MEMS) inertial navigation complementary filtering

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PillarMamba: A Lightweight Mamba-based Model for 3D Object Detection 4

PillarMamba: A Lightweight Mamba-based Model for 3D Object D...

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4th IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2024

作者： Liu, Yuhang Ge, Yinji Li, Mengyue Zheng, Guixu Sun, Boyi Wang, Fei-Yue Chinese Academy of Sciences Institute of Automation Beijing China Beijing Jiaotong University School of Mechanical Electronic and Control Engineering Beijing China

ISBN: (纸本)9798350349252

Parallel LiDAR is a novel framework for constructing next-generation intelligent LiDAR systems. 3D object detection serves as a common perception task in parallel LiDAR research. However, current approaches heavily rely on CNNs or Transformers for feature interaction, placing high demands on computational resources and memory. We introduce the evolving Mamba architecture into 3D object detection to address these issues and propose a new PillarMamba network. PillarMamba utilizes a pure Mamba-based backbone composed of multiple stacked BEVMamba blocks. Our experiments on the KITTI dataset demonstrate that PillarMamba can achieve 65.41% mAP in BEV and 59.13% mAP in 3D perspectives. It paves the way for constructing more efficient and accurate detection models, holding significant value for practical applications. © 2024 IEEE.

关键词： Object recognition

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The Design Optimization of the High-Frequency Planar Transformers for Electric Vehicle Chargers 7

The Design Optimization of the High-Frequency Planar Transfo...

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7th IEEE International Electrical and Energy Conference, CIEEC 2024

作者： Zhang, Li Shen, Min Wang, Xiaozhou Zhao, Shuang Li, Helong Yang, Zhiqing Ding, Lijian School of Electrical and Automation Engineering Hefei University of Technology HeFei China School of Intelligent Manufacturing and Control Engineer Qilu Institute of Technolgy Jinan China School of Electrical and Automation Engineering Hefei University of Technology China

ISBN: (纸本)9798350359558

Electric vehicle chargers can be divided into high-voltage DC (HVDC) system for charging power battery and low-voltage DC (LVDC) system for supplying low-voltage battery. Since the next generation EVs is getting smarter, they calls for chargers with higher power rating, higher power density and reduced loss which poses challenges for the LVDC systems design. In this paper, LLC resonant DC/DC converter is selected for HVDC system and two-stage converter with a Buck/Boost converter and an SRC converter is used for LVDC system. Circuit parameter design and high frequency (HF) planar transformer design are conducted for the aforementioned two kinds of converters respectively. For HVDC system, a transformer integrating resonant inductance and magnetizing inductance on a core is designed, and for LVDC system, a quarter-turn transformer is designed. The rationality and high efficiency of the two high HF planar transformer designs are verified by simulation and experiment results. © 2024 IEEE.

关键词： Inductance

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Dynamic Camouflage Characteristics of a Thermal Infrared Film Inspired by Honeycomb Structure

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Journal of Bionic engineering 2022年第2期19卷 458-470页

作者： Lujia Li Huanhuan Li Gang Kou Dafeng Yang Wei Hu Jinghui Peng Songjing Li Department of Fluid Control and Automation Harbin Institute of TechnologyHarbin 150001China Research Institute for National Defense Engineering of Academy of Military Science PLA China Luoyang 471023China

Thermal infrared camouflage technology has attracted increasing attention with the progress of infrared surveillance *** by honeycombs,a thermal infrared camouflage film with honeycomb sandwich structure based on fluid and temperature control is proposed to cloak objects and display false targets in the thermal infrared *** structure and manufacturing method of the film are introduced,and the fluid and temperature control system is established and tested to explore the thermal infrared characteristics of the film composed of different thermal *** camouflage performance of the film is intuitively displayed through the temperature frequency histograms of the infrared images photographed by an infrared *** temperature control accuracy of the thermal infrared camouflage system and the dynamic camouflage response of the film are evaluated by the temperature distribution map of each pixel in infrared images and the salient degree ***,the influential factors on the camouflage responding time are investigated,including the heating and cooling time of the liquid,the flow rate of pumps inside the driving module,and the energy loss along the liquid *** application of displaying false target is also introduced and *** results show that the camouflage film has a well camouflage effect and a wide adjustment temperature range,showing promise for a broad range of potential applications,such as counter-surveillance,thermal control and heat shielding.

关键词： Bioinspiration Film Thermal camoufage Honeycomb structure Temperature control

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MULTIDISCIPLINARY MODELING AND ANALYSIS OF NOSE LANDING GEAR SHIMMY

MULTIDISCIPLINARY MODELING AND ANALYSIS OF NOSE LANDING GEAR...

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2024 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2024

作者： Chen, Xiying Pan, Zhe Zhao, Shutong Gao, Bo Wang, Zeng Beijing Institute of Precision Electromechanical Control Beijing China School of Automation Science and Electrical Engineering Beihang University Beijing China Innovation Center for Control Actuators Beijing China

The research content is the shimmy analysis of the nose landing gear, mainly considering the stiffness of the main structural parts of the nose landing gear, the structure and damping parameters of shimmy damper, establishing a multi-body dynamics co-simulation model of the shimmy based on one-dimensional and three-dimensional co-simulation, and analyzing the anti-shimmy effect of the nose landing gear under different interference forces during landing and taxiing. To verify the rationality of the nose landing gear structure and parameter design, the critical shimmy damping hole diameter curve is calculated. It can be seen that the shimmy stability margin requirements are met with the gradual increase of aircraft taxiing speed. The diameter of the critical damping hole is slightly reduced at first, and the gradually increased. According to the analysis results, the damping parameters that meet the actual demand of shimmy reduction are given, which provides necessary technical support for the design of shimmy reduction system. © The Institution of engineering & Technology 2024.

关键词： Damping

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