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

作者： Xie, Jingyan Li, Yunze Sun, Yuehang Yang, Lizhu Kowal, Julia School of Aeronautic Science and Engineering Beihang University Beijing China Department of Energy and Automation Technology Technical University of Berlin Berlin Germany

The power supply system in space plays a crucial role in determining the operational lifespan of spacecraft while in orbit. Studying the comprehensive performance and degradation process of the system is challenging due to various influencing factors. This paper presents a dynamic model that examines the thermal-electrical coupling performance of the space power supply system. Additionally, a degradation assessment strategy has been developed to investigate the degradation mechanism of battery packs under the compounded effects. The analysis also considers the effect of packing on the energy storage battery pack. The thermal-electrical coupling model and degradation strategy have undergone numerical evaluation, demonstrating their ability to effectively simulate the performance changes and degradation of the space power supply system. The comprehensive thermal-electrical investigation offers a novel outlook on the on-orbit space power supply system. This study aims to enhance the operational reliability of satellite space power supply systems, particularly energy storage battery packs, in challenging space working conditions. © The Institution of engineering & Technology 2024.

关键词： Orbits

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Long-term Water Quality Prediction Based on Multimodal Fusion and Temporal 2D-variation 21

Long-term Water Quality Prediction Based on Multimodal Fusio...

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21st International Conference on Networking, Sensing and Control, ICNSC 2024

作者： Wu, Xiangxi Wang, Ziqi Li, Yibo Bi, Jing Yuan, Haitao College of Computer Science Beijing University of Technology Beijing China School of Automation Science and Electrical Engineering Beihang University Beijing China

ISBN: (纸本)9798350365221

The global water environment confronts numerous challenges, e.g., water pollution, overexploitation, and ecological degradation. Comprehensive protection and management are imperative for sustainable water resource utilization. Water quality predictions provide timely warning of future water quality problems and enable early action to avoid deterioration. As science and technology are increasingly applied in comprehensive water environment management, a diverse array of multimodal data is gathered from various sources, including remote sensing images and hydrological time series. However, current water quality prediction methods, e.g., statistical, machine learning, and deep learning methods fail to utilize multimodal data to enhance their accuracy of water quality prediction. To solve the above problem, this work proposes a multi-factor and long-term water quality prediction model based on multimodal data fusion named Low-rank Multimodal Fusion TimesNet (LMF-TimesN et), It first extracts features from hydrological time series and remote sensing images, respectively. Then, they are fused with the low-rank multimodal fusion network to extract diverse information. Finally, TimesNet is adopted to integrate fused multimodal water environment information for water quality prediction. Experimental results on a real-world dataset show that LMF - TimesNet achieves higher prediction accuracy and generalization ability than its state-of-the-art peers. © 2024 IEEE.

关键词： Data quality

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Enhancing SplaTAM Performance Through Dynamic Learning Rate Decay and Optimized Keyframe Selection

Enhancing SplaTAM Performance Through Dynamic Learning Rate ...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Ma, Xingwang Wu, Xinzhao Zhang, Liwei Shen, Shunxi School of Mechanical Engineering and Automation Fuzhou University Fuzhou China Fujian Yongyue Intelligent Technology Co. Ltd. China

ISBN: (纸本)9781665481090

Dense Simultaneous Localization and Mapping (SLAM) is crucial for robotics and augmented reality applications. In this paper, we optimized the SplaTAM using 3D Gaussian representations to achieve high-quality reconstruction using RGB-D cameras. We employ an online tracking and mapping system specifically designed to utilize the underlying Gaussian representations and optimization guided by silhouette rendering. Compared to the original SplaTAM approach, we introduce a dynamic learning rate decay strategy during the camera trajectory tracking phase for tracking. In the mapping phase, we introduce new constraints for selecting keyframes, ensuring that each keyframe contains richer scene information. Finally, we validate our experimental results on the Replica and TUM-RGBD datasets. Our method achieves 14.77% improvement in image rendering performance and 7.04% improvement in depth rendering performance over the pre-improvement period, achieving highly competitive performance compared to existing methods. © 2024 IEEE.

关键词： Augmented reality

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Photovoltaic MPPT Based on Recursive Non-Singular Fast Terminal Sliding Mode 6

Photovoltaic MPPT Based on Recursive Non-Singular Fast Termi...

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6th International Conference on Energy Systems and Electrical Power, ICESEP 2024

作者： Jiang, Zhiwen Teng, Qingfang Zhong, Qing Ma, Xiping School of Automation & Electrical Engineering Lanzhou Jiaotong University Lanzhou China State Grid Electric Power Research Institute Lanzhou China

ISBN: (纸本)9798350353563

In order to improve the robustness and power generation efficiency of photovoltaic(PV) system, a perturbation and observation(P&O) cascade Recursive Non-singular Fast Terminal Sliding Mode Control(RNFTSMC) scheme is proposed. Initially, the P&O method is utilized to obtain the reference voltage at the maximum power point(MPP) of the PV system. Subsequently, a voltage controller is implemented to track the reference voltage and achieve maximum power point tracking (MPPT) for the PV system. The controller adopts a recursive structure incorporating the non-singular fast terminal sliding mode surface and integral sliding mode function. This approach enforces the system to start directly from the sliding mode surface, reducing the convergence time of tracking errors. The stability of the controller is proven using Lyapunov theory. Matlab/Simulink simulation results demonstrate that under varying external environmental conditions, the proposed method exhibits higher tracking accuracy and faster response speed, effectively enhancing the robustness of the system and ensuring stable operation of the PV system. © 2024 IEEE.

关键词： Sliding mode control

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Research and Implementation of PCB Defect Detection Based on Improved YOLOv5 Algorithm 3

Research and Implementation of PCB Defect Detection Based on...

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3rd IEEE International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2023

作者： Han, Wei Ren, Hongwei Zhu, Xinjun Zheng, Yuancheng University of Jinan School of Automation and Electrical Engineering Jinan China Tiangong University School of Artificial Intelligence Tianjin300387 China

ISBN: (纸本)9781665490788

Aiming at the problems of low detection accuracy and inaccurate defect location of PCB defects in conventional detection algorithms, an improved YOLOv5s PCB defect detection algorithm is proposed by studying PCB defect detection algorithms. Firstly, the loss function is optimized, and the original regression loss calculation method is changed from GIOU to EIOU, so as to accelerate the convergence speed of the model and improve the positioning accuracy of the frame, and the confidence loss balance coefficient is adaptively adjusted to improve the training effect of the model. Secondly, the attention mechanism of ECANet is introduced to improve the saliency and feature expression ability of PCB defect target area, and to enhance the extraction of small target defect detail information which is difficult to detect. Finally, in order to further verify the effectiveness and rationality of the improved YOLOv5s algorithm, ablation experiments are used for comparative analysis. The experimental results show that the improved YOLOv5s algorithm improves the detection accuracy (mAP) to 96.80%, which meets the requirements of PCB defect detection. © 2023 IEEE.

关键词： Defects

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Energy Efficiency Analysis of the Pre-cooling Air Compressor System 9

Energy Efficiency Analysis of the Pre-cooling Air Compressor...

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9th International Conference on Fluid Power and Mechatronics, FPM 2023

作者： Li, Jidong Hu, Yu Zhang, Xiaotong Xu, Weiqing Cai, Maolin Jia, Guanwei School of Automation Science and Electrical Engineering Beihang University Beijing China School of Physics and Electronics Henan University Kaifeng China

ISBN: (纸本)9798350304947

Air compressor is an important source of energy consumption in industrial production, and improving the energy efficiency is an effective strategy for promoting energy conservation and reducing emissions. The energy consumption of air compressors increases with the working temperature. Incorporating a pre-cooling component in the air compressor system can help to precool and dehydrate the input air, thereby reducing the inlet temperature, humidity and compression temperature rise. This optimization will contribute to improve compression efficiency and therefore reduce energy consumption. In this study, we describe the design and operation of a pre-cooling air compressor system and develop a thermodynamic model for the air precooling-compression coupling loop, discussing the impact of refrigerating temperature and humidity on system operation. Furthermore, we also investigate and compare the effects of the precooling method on the performance of the air compressor system in different regions and seasons, providing a reference for the energy-saving optimization design and practical application of enhanced air compressor technology. © 2023 IEEE.

关键词： Compressors

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Deep Reinforcement Learning Based AGV Self-navigation Obstacle Avoidance Method

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Instrumentation 2022年第4期9卷 11-16页

作者： FENG Na FAN Fei XU Guanglin YU Lianqing School of Mechanical Engineering and Automation Wuhan Textile UniversityWuhan 430072China

A local path optimization model and obstacle avoidance strategy based on Actor-Critic algorithm is proposed for the local obstacle avoidance problem of automatic guided vehicles in a complex workshop *** the complex working environment of the production workshop,we analyze the automatic obstacle avoidance problem of AGV trolley,establish the front and both sides of the AGV tentacle model and Markov decision process,and describe the local obstacle avoidance path in the form of virtual *** based on deep reinforcement learning to solve the path obstacle avoidance strategy,it is applied to the AGV self-navigation *** dynamic obstacle avoidance performance of AGV is tested through simulation experiments,and the effectiveness of the proposed algorithm is verified by completing local obstacle avoidance path planning under global path guidance.

关键词： Obstacle Avoidance Virtual Whisker Deep Reinforcement Learning

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Safe Adaptive Dynamic Programming for Multiplayer Systems With Static and Moving No-Entry Regions

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第5期5卷 2079-2092页

作者： Mu, Chaoxu Wang, Ke Xu, Xin Sun, Changyin Tianjin University School of Electrical and Information Engineering Tianjin300072 China National University of Defense Technology College of Intelligence Science and Technology Changsha410073 China Anhui University School of Artificial Intelligence Hefei230601 China Southeast University School of Automation Nanjing210096 China

In recent years, the use of adaptive dynamic programming algorithm to solve the Nash equilibrium problem of multiplayer differential games has received extensive attention. Although approximate solutions can be obtained, the current algorithms have such a premise that the operation domain of the system is completely safe and the probing noise is required to excite the system during learning. To deal with these challenges, this article considers the optimal avoidance control problem that the system needs to avoid multiple static or dynamic no-entry regions while reaching the target point, and thus proposes a safe adaptive dynamic programming approach. First, the optimal avoidance control problem is formulated and multiple no-entry regions are encoded into each player's cost function using the barrier function. Then, a safe adaptive dynamic programming approach is proposed with several novel features, including actor-critic neural networks composed of state-following kernel function, state extrapolation for achieving virtual excitation, and weight tuning laws for executing adaptive learning. Next, this approach is extended to the case of moving regions and some theoretical results are provided. Finally, the proposed safe learning scheme is demonstrated on three simulation examples, and is also compared with other control methods. © 2020 IEEE.

关键词： Reinforcement learning

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Quantum Metrology Enhanced by Leveraging Informative Noise with Error Correction

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Physical Review Letters 2024年第19期133卷 190801页

作者： Hongzhen Chen Yu Chen Jing Liu Zibo Miao Haidong Yuan Institute of Quantum Precision Measurement State Key Laboratory of Radio Frequency Heterogeneous Integration College of Physics and Optoelectronic Engineering Shenzhen China LIGHTSPEED STUDIOS Department of Mechanical and Automation Engineering Center for Theoretical Physics and School of Physics and Optoelectronic Engineering School of Mechanical Engineering and Automation

The primary challenge in advancing practical quantum technology is the presence of noise, which can lead to decoherence and undermine the advantages of quantum systems. However, it is worth noting that noise can also contain information that can be harnessed to improve performance in certain quantum information tasks. This has been explored for specific types of noise, but the full potential of informative noise within general dynamics remains largely unknown. Here we demonstrate that informative noise can be transformed into a valuable resource for enhancing precision limits in quantum metrology. We provide necessary and sufficient conditions under which the precision achieved in the presence of informative noise can attain Heisenberg scaling. Our research offers a fresh perspective on the role of noise in quantum metrology and opens up avenues for achieving higher precision beyond the previously anticipated ultimate limit.

关键词： Quantum Fisher information Quantum error correction Quantum metrology Quantum parameter estimation

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Cooperative Secure Transmission for Hybrid Aerial IRS-assisted Communication System

Cooperative Secure Transmission for Hybrid Aerial IRS-assist...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Qi, Yihao Su, Zhou Xu, Qichao Fang, Dongfeng Wang, Yuntao Liu, Yiliang Shanghai University School of Mechatronic Engineering and Automation Shanghai China Xi'an Jiaotong University School of Cyber Science and Engineering Xi'an China California Polytechnic State University Department of Computer Science San Luis Obispo United States

ISBN: (纸本)9798350351255

Aerial intelligent reflecting surface (AIRS), integrating unmanned aerial vehicle (UAV) with IRS, has emerged as a promising paradigm to improve the transmission quality and security in emergency communication, space-air-ground-integrated network and mobile edge computing, etc. However, the size of a single AIRS is constrained by the limited energy and payload capacity of the UAV, as well as the path loss of the air-to-ground reflective link, which makes the gain from a single AIRS finite. To address these problems, we propose a hybrid aerial IRS-assisted cooperative secure transmission system, where an aerial active IRS and an aerial simultaneously transmitting and reflecting IRS (STAR-IRS) are employed to achieve reflection amplification and 360-degree ubiquitous coverage, respectively. Additionally, the cooperative beamforming gain generated by the secondary reflection between the hybrid AIRSs can further improve communication quality. Specifically, an optimization problem is proposed with the objective of maximizing the sum secrecy rate by jointly optimizing the transmitting beamforming and the reflection coefficients of each AIRS. We first reformulated the original non-convex problem by fractional programming method, and a three-layer alternating optimization algorithm is introduced to address the proposed problem with the successive convex approximation (SCA) as well as penalty convex-concave procedure (PCCP) techniques. Finally, extensive simulations are conducted to demonstrate that the proposed scheme substantially improves the sum secrecy rate compared to other baseline schemes. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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