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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Hao, Ze Yu, Jianglong Chen, Yang Hu, Yangxiu Dong, Xiwang Ren, Zhang School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China Institute of Artificial Intelligence Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China Shanghai Academy of Spaceflight Technology Shanghai201109 China

ISBN: (纸本)9789819733279

This paper investigates the problem of aggregation control and robust formation tracking control for the fixed-wing UAV swarm system after aggregation. Firstly, the dynamic models for aggregation control and formation tracking control of the fixed-wing UAV swarm system are established. Secondly, to solve the problem of large initial takeoff position deviation for multiple unmanned aerial vehicles, a consensus-based aggregation control algorithm is designed to converge the UAV swarm system to any position on a hovering circle to provide proper initial conditions for subsequent tasks. Thirdly, in the formation tracking control process, a nonlinear path tracking control algorithm is employed for leader UAV, and a formation tracking control algorithm based on leader-following navigation is designed for follower UAV swarm system. Finally, simulation results demonstrate that the proposed aggregation control algorithm enables rapid convergence of the UAV swarm system’s initial positions, and the designed formation tracking control achieves algorithm achieves fine formation tracking performance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Unmanned aerial vehicles (UAV)

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Two-Stage Robust Optimization Under Decision Dependent Uncertainty

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IEEE/CAA Journal of Automatica Sinica 2022年第7期9卷 1295-1306页

作者： Yunfan Zhang Feng Liu Yifan Su Yue Chen Zhaojian Wang João P.S.Catalão State Key Laboratory of Power System and Generation Equipment the Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Department of Mechanical and Automation Engineering the Chinese University of Hong KongHong Kong SARChina Ministry of Education Key Laboratory of System Control and Information Processing the Department of AutomationShanghai Jiao Tong Universityand also with Shanghai Engineering Research Center of Intelligent Control and ManagementShanghai 200240China Faculty of Engineering of the University of Porto and Institute for Systems and Computer Engineering Technology and Science(INESC TEC)Porto 4200-465Portugal IEEE

In the conventional robust optimization(RO)context,the uncertainty is regarded as residing in a predetermined and fixed uncertainty *** many applications,however,uncertainties are affected by decisions,making the current RO framework *** paper investigates a class of two-stage RO problems that involve decision-dependent *** introduce a class of polyhedral uncertainty sets whose right-hand-side vector has a dependency on the here-and-now decisions and seek to derive the exact optimal wait-and-see decisions for the second-stage problem.A novel iterative algorithm based on the Benders dual decomposition is proposed where advanced optimality cuts and feasibility cuts are designed to incorporate the uncertainty-decision *** computational tractability,robust feasibility and optimality,and convergence performance of the proposed algorithm are guaranteed with theoretical *** motivating application examples that feature the decision-dependent uncertainties are ***,the proposed solution methodology is verified by conducting case studies on the pre-disaster highway investment problem.

关键词： Benders decomposition decision-dependent uncertainty endogenous uncertainty robust optimization(RO)

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A Method for Marine Ship Formation Intention Recognition based on BiConvLSTM-Attention 3

A Method for Marine Ship Formation Intention Recognition bas...

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3rd International Conference on Electronic Information engineering and Computer science, EIECS 2023

作者： Xi, Yunqiao Zhang, Junping Liu, Jian Wang, Linlin Xu, Hongfeng Chen, Linxiu Jiang, Jixiang Harbin Institute of Technology School of Electronics and Information Engineering Harbin China Institute of Electrical and Mechanical Engineering Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9798350316674

To solve the problem that current dynamic intention recognition methods fail to make full use of time domain variation information between multi-temporal group targets, which leads to low accuracy of intention recognition. This paper proposes a bidirectional convolutional long short term memory-attention network for marine formation target intention recognition. The network takes the multi-source trajectory data of the marine ship formation target as the input, extracts and uses the target change rule and time domain characteristics of the Marine formation data, and trains the model to have the ability to independently learn the weight of information in different time periods. The simulation results show that the method has good performance and can meet the needs of practical application. © 2023 IEEE.

关键词： intention recognition long short-term marinship formation temporal features

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Fixed-Time Cooperative Tracking for Delayed Disturbed Multi-Agent systems Under Dynamic Event-Triggered control

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IEEE/CAA Journal of Automatica Sinica 2022年第5期9卷 930-933页

作者： Jian Liu Yongbao Wu Mengwei Sun Changyin Sun School of Automation Southeast UniversityNanjing 210096 Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of EducationSoutheast UniversityNanjing 210096China Institutes of Physical Science and Information Technology Anhui UniversityHefei 230601China IEEE

Dear editor,Recently,researchers have obtained many new results about the multi-agent systems(MASs)[1]-[3].In[1],the fixed-time cooperative control(FTCC)algorithm of linear MASs with matched disturbances was *** nonholonomic chained-form dynamics case was considered in[2].In[3],the output tracking problem with data packet dropout was solved for high-order ***,delay frequently occurs because of the non-ideal data transmission[4],and the corresponding FTCC algorithm of MASs with delay was given in[5].

关键词： editor Dynamic Trigger Event

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Double ESO Aided Nonlinear Flux Observer for Sensorless control of PMSM 27

Double ESO Aided Nonlinear Flux Observer for Sensorless Cont...

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27th International Conference on Electrical Machines and systems, ICEMS 2024

作者： Chen, Zhe Li, Jincheng Zhang, Kun Zhangliu, Mingyuan Zhang, Hang Luo, Guangzhao School of Automation Northwestern Polytechnical University Xi'an China Nanjing Engineering Institute of Aircraft Systems AVIC/Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing China School of Electrical Engineering Xi'an University of Technology Xi'an China

ISBN: (纸本)9784886864406

As one promising sensorless control algorithm, the nonlinear flux observer is widely used in industries. However, it is sensitive to parameter variations and the gradient search gain can greatly affect its stability. Therefore, this paper proposes an improved nonlinear flux observer, which corrects the stator flux estimation by adding an extended state observer (ESO) to reduce the parameter sensitivity. In addition, the position error compensation is realized by another ESO constructed in estimated rotation frame. The effectiveness of the proposed algorithm is verified experimentally. © 2024 The institute of Electrical Engineers of Japan.

关键词： Error compensation

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control and Stability of Large-scale Power system with Highly Distributed Renewable Energy Generation:Viewpoints from Six Aspects

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CSEE Journal of Power and Energy systems 2023年第1期9卷 8-14页

作者： Qing-Hua Wu Anjan Bose Chanan Singh Joe H.Chow Gang Mu Yuanzhang Sun Zhaoxi Liu Zhigang Li Yang Liu School of Electric Power Engineering South China University of TechnologyGuangzhou 510640China School of Electrical Engineering&Computer Science Washington State UniversityPullmanWA 99164USA Department of Electrical and Computer Engineering Texas A&M UniversityCollege StationTX 77843USA Department of Electrical Computer and Systems EngineeringRensselaer Polytechnic Institute(RPI)TroyNYUSA Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012China School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072China

Power systems are moving toward a low-carbon or carbon-neutral future where high penetration of renewables is *** conventional fossil-fueled synchronous generators in the transmission network being replaced by renewable energy generation which is highly distributed across the entire grid,new challenges are emerging to the control and stability of large-scale power *** analysis and control methods are needed for power systems to cope with the ongoing *** the CSEE JPES forum,six leading experts were invited to deliver keynote speeches,and the participating researchers and professionals had extensive exchanges and discussions on the control and stability of power ***,potential changes and challenges of power systems with high penetration of renewable energy generation were introduced and explained,and advanced control methods were proposed and analyzed for the transient stability enhancement of power grids.

关键词： Distributed energy resources high converter penetration power system control renewable energy generation stability control transient stability

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Fast level-flight to hover mode transition and altitude control in tiltrotor’s landing operation

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Chinese Journal of Aeronautics 2021年第1期34卷 181-193页

作者： Ningjun LIU Zhihao CAI Yingxun WANG Jiang ZHAO Institute of Unmanned System Beihang UniversityBeijing 100083China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100083China

An attempt is made to implement a faster level-flight to hover mode transition in tiltrotor’s landing process for the purpose of shortening its landing time. A three-stage tiltrotor landing maneuver is designed, and corresponding control modules and algorithms are created based on the analysis of the flight dynamics and the required actions of tiltrotor’s landing operation. As the altitude control is vital for tiltrotor’s near-ground landing, an Extended State Observer(ESO) control module of the Active Disturbance Rejection control(ADRC) is designed to reduce altitude fluctuations in the fast mode transition, which makes the designed maneuver workable at very low altitudes. Simulations are conducted to verify the effectiveness of the designed maneuver and the validity of ESO control in various flight conditions. Flight test results that finally prove the effectiveness of the desired fast transition maneuver are reported.

关键词： Tiltrotor Transition Flight control VTOL UAV ADRC

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Multi-objective Optimal Operation of Centralized Battery Swap Charging system with Photovoltaic

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Journal of Modern Power systems and Clean Energy 2022年第1期10卷 149-162页

作者： Yuanzheng Li Yihan Cai Tianyang Zhao Yun Liu Jian Wang Lei Wu Yong Zhao School of Artificial Intelligence and Automation Ministry of Education Key Laboratory of Image Processing and Intelligence ControlHuazhong University of Science and TechnologyWuhanChina School of Electrical and Electronic Engineering Nanyang Technological UniversitySingaporeSingapore College of Mechatronics and Control Engineering Shenzhen UniversityShenzhenChina Department of Electrical&Computer Engineering Stevens Institute of TechnologyHobokenUSA

Electric vehicles(EVs)are widely deployed throughout the world,and photovoltaic(PV)charging stations have emerged for satisfying the charging demands of EV *** paper proposes a multi-objective optimal operation method for the centralized battery swap charging system(CBSCS),in order to enhance the economic efficiency while reducing its adverse effects on power *** proposed method involves a multi-objective optimization scheduling model,which minimizes the total operation cost and smoothes load fluctuations,***,we modify a recently proposed multi-objective optimization algorithm of non-sorting genetic algorithm III(NSGA-III)for solving this scheduling ***,simulation studies verify the effectiveness of the proposed multi-objective operation method.

关键词： Multi-objective optimization electric vehicle battery swap charging system scheduling photovoltaic

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TJ-FlyingFish:An Unmanned Morphable Aerial-Aquatic Vehicle system

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无人系统（英文） 2024年第2期12卷 409-428页

作者： Xuchen Liu Minghao Dou Ruixin Yan Dongyue Huang Songqun Gao Biao Wang Jinqiang Cui Qinyuan Ren Lihua Dou Zhi Gao Jie Chen Ben M.Chen Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghaiP.R.China Department of Mechanical and Automation Engineering The Chinese University of Hong KongHong KongP.R.China Department of Mechanical and Automation Engineering The Chinese University of Hong KongHong KongP.R.China College of Automation Engineering Nanjing University of Aeronautics and AstronauticsNanjingJiangsuP.R.China Peng Cheng Laboratory ShenzhenGuangdongP.R.China College of Control Science and Engineering Zhejiang UniversityHangzhouZhejiangP.R.China School of Automation Beijing Institute of TechnologyBeijingP.R.China School of Remote Sensing and Information Engineering Wuhan UniversityWuhanHubeiP.R.China Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghaiP.R.China

In this paper,we present in this work a fairly complete process for developing an unmanned aerial-aquatic vehicle system,TJ-FlyingFish,which includes an innovative design methodology of the aerial-aquatic platform and the cross-medium localization,dynamics modeling,and flight control *** development faces the challenge how to manipulate locomotion effectively in both water and air which presents substantial differences in fluid ***,there are difficulties in perception and navigation because of the discontinuity of *** cope with these challenges,we designed an innovative unmanned aerial-aquatic vehicle with an optimized dual-speed and tilting propulsion *** rotors/propellers operate in different ranges of rotating speed in the two different mediums,providing sufficient thrust and ensuring output ***,thrust vectoring is achieved by rotating each propulsion unit around its mounted arm,facilitating agile underwater *** key component of our approach is a sophisticated multi-sensor-based cross-medium localization system that combines SLAM,sensor synchronization,and data capture mechanisms,enabling seamless transitions between aerial and aquatic environments,and supporting autonomous *** results are fully validated through actual flight experiments.

关键词： Unmanned aerial-vehicles cross-medium locomotion cross-medium localization

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Insights into chemoautotrophic traits of a prevalent bacterial phylum CSP1-3, herein Sysuimicrobiota

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National science Review 2024年第11期11卷 61-75页

作者： Lan Liu Zheng-Han Lian Ai-Ping Lv Nimaichand Salam Jian-Chao Zhang Meng-Meng Li Wei-Min Sun Sha Tan Zhen-Hao Luo Lei Gao Yang Yuan Yu-Zhen Ming Yu-Ting Ou Yang Yu-Xian Li Ze-Tao Liu Chao-Jian Hu Ying Chen Zheng-Shuang Hua Wen-Sheng Shu Brian P.Hedlund Wen-Jun Li Jian-Yu Jiao State Key Laboratory of Biocontrol Guangdong Provincial Key Laboratory of Plant Stress Biology and Southern Marine Science and Engineering Guangdong Laboratory ZhuhaiSchool of Life Sciences Sun Yat-Sen University National Agri-Food Biotechnology Institute School of Earth System Science Institute of Surface-Earth System Science Tianjin University National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China Guangdong Key Laboratory of Integrated Agro-Environmental Pollution Control and ManagementInstitute of Eco-Environmental and Soil SciencesGuangdong Academy of Sciences State Key Laboratory of Desert and Oasis Ecology Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands Xinjiang Institute of Ecology and GeographyChinese Academy of Sciences Chinese Academy of Sciences Key Laboratory of Urban Pollutant Conversion Department of Environmental Science and EngineeringUniversity of Science and Technology of China Institute of Ecological Science Guangzhou Key Laboratory of Subtropical Biodiversity and BiomonitoringGuangdong Provincial Key Laboratory of Biotechnology for Plant DevelopmentSchool of Life Sciences South China Normal University Guangdong Provincial Key Laboratory of Chemical Pollution South China Normal University School of Life Sciences University of Nevada Las Vegas Nevada Institute of Personalized Medicine University of Nevada Las Vegas

Candidate bacterial phylum CSP1-3 has not been cultivated and is poorly understood. Here, we analyzed 112 CSP1-3 metagenome-assembled genomes and showed they are likely facultative anaerobes, with 3 of 5 families encoding autotrophy through the reductive glycine pathway(RGP), Wood–Ljungdahl pathway(WLP) or Calvin-Benson-Bassham(CBB), with hydrogen or sulfide as electron donors. Chemoautotrophic enrichments from hot spring sediments and fluorescence in situ hybridization revealed enrichment of six CSP1-3 genera, and both transcribed genes and DNA-stable isotope probing were consistent with proposed chemoautotrophic metabolisms. Ancestral state reconstructions showed that the ancestors of phylum CSP1-3 may have been acetogens that were autotrophic via the RGP, whereas the WLP and CBB were acquired by horizontal gene transfer. Our results reveal that CSP1-3 is a widely distributed phylum with the potential to contribute to the cycling of carbon, sulfur and nitrogen. The name Sysuimicrobiota phy. nov. is proposed.

关键词： Sysuimicrobiota phy. nov facultative anaerobes chemoautotrophic metabolisms

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