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Multi-Channel Based on Attention Network for Infrared Small Target Detection

Journal of Shanghai Jiaotong university(Science) 2024年第3期29卷 414-427页

作者：张彦军王碧云蔡云泽 Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Shanghai Institute of Aerospace Control Technology Shanghai 201109China Infrared Detection Technology R&D Center of China Aerospace Science and Technology Corporation Shanghai 201109China Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai 200240China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240China Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong UniversityShanghai 200240China Institute of Marine Equipment Shanghai Jiao Tong UniversityShanghai 200240China

Infrared detection technology has the advantages of all-weather detection and good concealment,which is widely used in long-distance target detection and tracking ***,the complex background,the strong noise,and the characteristics of small scale and weak intensity of targets bring great difficulties to the detection of infrared small targets.A multi-channel based on attention network is proposed in this paper,aimed at the problem of high missed detection rate and false alarm rate of traditional algorithms and the problem of large model,high complexity and poor detection performance of deep learning ***,given the difficulty in extracting the features of infrared multiscale and small dim targets,the multiple channels are designed based on dilated convolution to capture multiscale target ***,the coordinate attention block is incorporated in each channel to suppress background clutters adaptively and enhance target *** addition,the fusion of shallow detail features and deep abstract semantic features is realized by synthesizing the contextual attention fusion ***,it is verified that,compared with other state-of-the-art methods based on the datasets SIRST and MDFA,the proposed algorithm further improves the detection effect,and the model size and computational complexity are smaller.

关键词： infrared image small target detection deep learning attention mechanism feature fusion

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Linear active disturbance rejection control of phase-shifted full-bridge converter based on improved particle swarm optimization algorithm 20

Linear active disturbance rejection control of phase-shifted...

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20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Wang, HongSen Wu, YanJuan Tianjin University of Technology Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Binshui Xidao 391 Tianjin China

ISBN: (纸本)9798350320831

In order to improve the dynamic performance and disturbance suppression ability of conventional PID control phase shift full-bridge converter, LADRC based on improved particle swarm optimization is proposed. The voltage loop transfer function of phase-shifted full-bridge converter is derived based on the state space average method. Secondly, LESO and LSEF are designed to estimate and compensate the external disturbance and internal uncertainty in real time. Finally, the advantages of linear active disturbance rejection controller are verified by simulation experiments. The experimental results show that the controller has better disturbance suppression performance and dynamic performance than the traditional PID controller. © 2023 IEEE.

关键词： controllers

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Uncertainty Treatment of Integrated Energy System Based on Scenario Reduction Method 20

Uncertainty Treatment of Integrated Energy System Based on S...

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20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Wang, Caiwei Wu, Yanjuan Cong, Peizhi He, Yuzhe Tianjin University of Technology Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Binshui Xidao 391 Tianjin China

ISBN: (纸本)9798350320831

In the context of high permeability of renewable energy, a large number of uncertain energy sources, such as scenery, have brought a huge impact on the security and stability of the comprehensive energy system. In order to reduce the impact of renewable energy on the new power system and improve the system stability, In this paper, a comprehensive energy system of the park is set up, which consists of three kinds of energy loads including source side electricity, heat, gas and scenery, and electric heat. On this basis, Monte Carlo method is adopted to simulate multiple sets of scenes respectively for the scenery output. On this basis, scene reduction method is adopted to reduce them to obtain the final equivalent force diagram, so as to reduce the influence of the uncertainty of scenery on the system stability. Finally, the effectiveness of the proposed method is verified by simulation analysis. © 2023 IEEE.

关键词： Monte Carlo methods

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Real-time scheduling strategy for electric vehicles based on sliding window transmission optimization 20

Real-time scheduling strategy for electric vehicles based on...

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20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Cong, Peizhi Wu, Yanjuan Wang, Caiwei Tianjin University of Technology Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Binshui Xidao 391 Tianjin China

ISBN: (纸本)9798350320831

In order to reduce the impact of electric vehicle(EV) charging load on the power grid, a real-time optimal scheduling scheme for charging and discharging Evs is proposed. Firstly, the objective is to reduce charging costs and network loss costs, aiming to minimize the total cost of EVs at the current time. An EV dispatching model is established, the grid node acceptance capacity performance is analyzed by constructing a network loss sensitivity index, and the EV charging and discharging strategy is obtained in real time based on the time-of-use tariff of the grid load by means of a tide calculation and a sliding window variable speed optimization algorithm as well as a second-order convex optimization calculation method. Finally, the proposed strategy is verified to be effective in reducing the charging cost and network loss cost, and has good real-time flexible dispatching performance, using an improved IEEE 39-node distribution network as an example. © 2023 IEEE.

关键词： Electric vehicles

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An asymmetrically substituted dithieno[3,2-b:2',3'-d]pyrrole organic small-molecule hole-transporting material for high-performance perovskite solar cells

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Chinese Journal of Chemical Engineering 2022年第5期35卷 51-57页

作者： Jingwen Jia Yue Zhang Liangsheng Duan Quanping Wu Yu Chen Song Xue Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical EngineeringTianjin University of TechnologyTianjin 300384China Tianjin Key Laboratory of Organic Solar Cells and Photochemical Conversion Department of Applied ChemistryTianjin University of TechnologyTianjin 300384China

Hole-transporting materials play a vital role in terms of the performance of perovskite solar cells(PSCs).The dithieno[3,2-b:2’,3’-d]pyrrole(DTP),an S,N-heterocyclic building block,has been proved to be desirable for molecular design of hole-transporting materials in *** developed an asymmetrically substituted DTP small-molecule(JW12)and a reference compound(JW11).The asymmetrical structure of JW12 leads to different absorption properties and electron *** device in a planar n-i-p architecture using JW12 shows a much higher PCE(18.07%)than that based on JW11(15.46%),which is also better than the device based on spiro-OMe TAD(17.47%).We hope our research can provide a new perspective in molecular design of organic HTMs for perovskite solar cells.

关键词： Hole-transporting materials DTP Perovskite Photovoltaic performance

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Development Status of M5 Servo Electric Propulsion System for Precision control of SAR Satellites 3

Development Status of M5 Servo Electric Propulsion System fo...

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3rd China International SAR Symposium, CISS 2022

作者： Yu, Xuewen Huang, Wenbin Han, Luofeng Lu, Chao Liu, Tong Zhu, Kangwu Shanghai Aerospace Control Technology Institute Shanghai Key Laboratory of Aerospace Intelligent Control Technology Shanghai China

ISBN: (数字)9798350398717

ISBN: (纸本)9798350398717

According to the requirements of small SAR satellites for high-precision control, low-power consumption and long lifetime propulsion system, a new 200W class electric propulsion system using a gridded ion thruster based on microwave electron cyclotron resonance (ECR) principle is under development. The design status of all four generations of M5 thrusters and the latest test results are described. The M5 thruster has multi-ECR zones which mean larger discharge area, and an immersed microwave antenna which can feed the microwave power to ECR zones directly, resulting in higher discharge efficiency. The test results show that when working at nominal condition with 0.8sccm xenon gas flow rate and 35W input microwave power, the thruster can achieve 3mN thrust and 2500s specific impulse, while the discharge loss is 600W/A. The composition of the M5 servo electric propulsion system is introduced, and its work performances are listed. The M5 servo electric propulsion system can work in a wide range with a predicted lifetime over 20000 hours, providing high total impulse with low system weight, and has many advantages including high specific impulse, high precision, fast ignition, easy operation, and high reliability. The M5 servo electric propulsion system has good application prospects for small SAR satellites and other small satellites and microsatellites. © 2022 IEEE.

关键词： Satellites

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Containment control of Multiple Quadrotor Unmanned Aerial Vehicles Based on Model Transformation 13

Containment Control of Multiple Quadrotor Unmanned Aerial Ve...

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13th IEEE Data Driven control and Learning Systems Conference, DDCLS 2024

作者： Chen, Pengfei Yang, Chunxi Zhang, Faxiang Kunming University of Science and Technology Faculty of Mechanical and Electrical Engineering Yunnan650500 China Yunnan Key Laboratory of Intelligent Control and Application Kunming650500 China

ISBN: (纸本)9798350361674

This paper investigates the containment control problem of a class of quadrotor unmanned aerial vehicle (QUAV) systems under directed topologies. Firstly, an integral chain model with unknown control directions is constructed by iteratively differentiating the system output. At the same time, a low-pass filter is introduced to transform the original system into a new system, avoiding the problem of unknown control direction. Then, a distributed containment control law is designed by using the dynamic surface control method, which ensures that the trajectories of the followers converge within the convex spanned by the leaders. The closed-loop system is also proved to be uniformly ultimately bounded (UUB) based on Lyapunov stability theory. Finally, simulation results show the effectiveness of the proposed control scheme. © 2024 IEEE.

关键词： Topology

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Reinforcement Learning-Based Cooperative Hunting for an Unmanned Surface Vehicle Swarm

Reinforcement Learning-Based Cooperative Hunting for an Unma...

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2024 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2024

作者： Zhang, Yaping Lin, Yejin Wang, Ning School of Marine Engineering Dalian Maritime University Dalian China State Key Laboratory of Maritime Technology and Safety Dalian China Dalian Key Laboratory of Green Power Control and Test for Intelligent Ships Dalian China

ISBN: (纸本)9798350352788

In this paper, reinforcement learning is employed to address the cooperative hunting task for a swarm of underactuated unmanned surface vehicles (USVs) in maritime warfare scenarios. By virtue of the multi-agent deep deterministic policy gradient algorithm, the cooperative swarm hunting strategy (CSHS) is developed by defining new reward functions that can guide the USV swarm in a continuous manner, thereby avoiding sparse rewards. Moreover, Unity3D-based virtual environments are built for cost-efficient learning of the proposed CSHS. The results demonstrate that the CSHS is able to not only avoid obstacles but also exhibits strong generalization among different scenarios, within the entire USV swarm hunting process. © 2024 IEEE.

关键词： Deep reinforcement learning

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A Power Decoupling control Stragegy for CHB-BESS Based on NLM 9

A Power Decoupling Control Stragegy for CHB-BESS Based on NL...

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9th Asia Conference on Power and Electrical Engineering, ACPEE 2024

作者： Bian, Kai Wu, Xiqi Li, Hui Huang, Chao Cai, Xu Shanghai Jiaotong University Key Laboratory of Control of Power Transmission and Conversion Shanghai China Hainan Jinpan Intelligent Technology Co. Ltd Haikou China

ISBN: (纸本)9798350309638

The common used modulation method for cascaded H-bridge converter battery energy storage system (CHB-BESS) is carrier phase shift pulse width modulation (CPS-PWM). However, with the increasing of voltage level, the number of submodules will increase greatly. Therefore, the nearest level modulation (NLM) is promising in high voltage transformerless battery energy storage system. To solve the problem of capacitor voltage balance and battery state of charge (SOC) balance, this paper proposed a power decoupling method based on NLM. The capacitor voltage and the SOC of batteries are balanced well in this method. And the CHB-BESS can provide reactive power compensation to grid. The simulation results from MATLAB/Simulink verified the effectiveness of proposed method. © 2024 IEEE.

关键词： Reactive power

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STOS-Net: Spatio-Temporal Contextual Obstacle Segmentation Network for Surface Vehicles

STOS-Net: Spatio-Temporal Contextual Obstacle Segmentation N...

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2024 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2024

作者： Feng, Yuan Wang, Ning Tian, Lixin School of Marine Engineering Dalian Maritime University Dalian China State Key Laboratory of Maritime Technology and Safety Dalian China Dalian Key Laboratory of Green Power Control and Test for Intelligent Ships Dalian China

ISBN: (纸本)9798350352788

Robust navigable segmentation and obstacle detection are crucial for an autonomous surface vehicle. In this paper, to effectively tackle the severe challenge of distinguishing obstacles from surface disturbances by virtue of inter-frame correlation, a bilateral spatio-temporal contextual obstacle seg-mentation network (STOS-Net) is innovatively devised. In the context branch, to capture spatio-temporal contextual information, by utilizing the shared encoder to extract features involving previous and current frames, a spatio-temporal attention module is proposed, such that potential relationships among features of consecutive frames can be effectively established, and thereby distinguishing surface disturbance and actual obstacle. Subse-quently, the Sobel edge detection operator is deployed to generate boundary maps, which guide the detail branch to produce more precise edge feature maps, thereby significantly enhancing the accuracy of waterline segmentation. Moreover, to address the significant multi-scale variations caused by the size of obstacles, the multi-scale information from the two branches is integrated by a multi-layer perceptron module. The findings demonstrate that the innovative STOS-Net attains an F1 score of 93.5 on the MODS dataset, along with a localization error of 12.1 pixels for waterline segmentation. © 2024 IEEE.

关键词： Obstacle detectors

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