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A Transient Stability Evaluation Method for DC-Link Synchronization control Grid-forming Converter Considering Time-Varying Inertia and Internal Voltage

A Transient Stability Evaluation Method for DC-Link Synchron...

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2024 CPSS and IEEE International Symposium on Energy Storage and Conversion, CPSS and ISESC 2024

作者： Feng, Pan Li, Xilin Tian, Zhen Li, Junxian Hua, Xiaojun Li, Weibing School of Electrical Engineering and Automation Wuhan University Wuhan China Wuhan University Laboratory of Hydro-Wind-Solar Multi-energy Control Coordination Wuhan China Co. Ltd China Three Gorges Corporation Beijing China Institute of Science and Technology China Three Gorges Corporation Beijing China

ISBN: (纸本)9798350380514

Grid-Forming converters considering the DC-link voltage dynamics have been extensively studied. Among the existing control structures, DC-link voltage synchronization control (DVSC), which directly generates the synchronization frequency through the DC-link voltage control, is widely concerned. However, the transient stability of DVSC-based grid-forming converter is rarely studied due to its time-varying inertia and internal voltage. In this digest, the second-order nonlinear large signal model of DVSC-based grid-forming converter is established considering the impacts of virtual admittance. By applying the equal area criterion (EAC), the transient stability boundary is derived from the perspective of energy conservation law, which is an implicit function set over power angle, frequency and internal voltage. An iterative algorithm is proposed to solve this implicit function set and derive the transient stability boundary. Accuracy of the second-order nonlinear large signal model and the derived stability boundary is verified by simulation and experiment. © 2024 IEEE.

关键词： Transient stability

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NBA-guided heuristic sampling algorithm for multi-robot task planning under temporal logic

NBA-guided heuristic sampling algorithm for multi-robot task...

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第43届中国控制会议

作者： Jiong Luo Yongzhao Hua Shunfu Ding Xiwang Dong Zhang Ren School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control LaboratoryBeihang University Institute of Artificial Intelligence Beihang University Institute of Unmanned System Beihang University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Aiming at the task planning problem of multi-robot under linear temporal logic(LTL), this paper proposes an improved sampling planning algorithm based on Nondeterministic Büchi automaton(NBA) guidance. Firstly, this paper defines a kind of LTL task planning problem, which mainly focuses on the meaningful key nodes in the task execution of each robot, and there are many sequential dependencies of task constraints. Then, an improved sampling algorithm framework is proposed,which uses a more efficient way to build a search tree and reduces the number of nodes in the tree. Furthermore, the sampling points are guided by NBA to ensure that sampling is conducive to the advancement of time-series tasks. And considering the task feasible region of each robot, the auction algorithm is introduced to optimize the local matching relationship, which greatly improves the quality of sampling points. Finally, numerical simulation is carried out to solve the LTL task planning problem. The optimality and stability of the algorithm are obviously improved, and the time consumption of this algorithm is obviously better than that of the existing advanced algorithms.

关键词： Multi-robot systems sampling-based planning temporal logic task planning NBA-guided

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A multipath mitigation algorithm for GNSS signals based on the steepest descent approach

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Satellite Navigation 2022年第3期3卷 80-90,I0003页

作者： Wenqi Qiu Qinghua Zeng Rui Xu Jianye Liu Jinheng Shi Qian Meng Navigation Research Center College of Automation EngineeringNanjing University of Aeronautics and AstronauticsNanjing211106China Key Laboratory of the MIIT Advanced Aircraft Navigation Control and Health ManagementNanjing211106China Jiangsu University Collaborative Innovation Center for Satellite Communication and Navigation Nanjing211106China School of Instrument Science and Engineering Southeast UniversityNanjing211106China

Multipath interference seriously degrades the performance of Global Navigation Satellite System(GNSS)positioning in an urban *** current multipath mitigation algorithms suffer from heavy computational load or need external *** propose a multipath mitigation algorithm based on the steepest descent approach,which has the merits of less computational load and no need for external aid.A new ranging code tracking loop is designed based on the steepest descent method,which can save an early branch or a late branch compared with the narrow-spacing correlation *** power of the Non-Line-of-Sight(NLOS)signal is weaker than that of the Line-of-Sight(LOS)signal when the LOS signal is not obstructed and with a relatively high Carrier Noise Ratio(CNR).The peak position in the X-axis of the ranging code autocorrelation function does not move with the NLOS ***,the cost function is designed according to this *** results demonstrate that the proposed algorithm outperforms the narrow-spacing correlation and the Multipath Estimated Delay Locked Loop(MEDLL)in terms of the code multipath mitigation and computation *** Standard Deviation(STD)of the tracking error with the proposed algorithm is less than 0.016 ***,the computation time of the proposed algorithm in a software defined receiver is shortened by 24.21%compared with the narrow-spacing correlation.

关键词： Code multipath mitigation Steepest descent GNSS Narrow-spacing correlation BDS

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Analytic Derivation of Harmonic Characteristics of Ultra-High Voltage DC Transmission and Simulation Verification

Analytic Derivation of Harmonic Characteristics of Ultra-Hig...

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Electrical, automation and Computer engineering (ICEACE), International Conference on

作者： Youpeng Ke Ming Gao School of Electrical and Control Engineering Heilongjiang University of Science and Technology Harbin Heilongjiang China School of Automation Nanjing University of Science & Technology Nanjing Jiangsu China

As an essential part of the new power system, high-voltage DC transmission is the mainstay of China's future energy structure development. However, the operational control problems of the DC transmission system are one of the most important reasons for the current stability and reliability of the system. The coordination of the sending and the receiving ends and the DC system helps to improve the efficiency and operational flexibility of the operating system. Therefore, this paper proposes a method to simulate the transient analysis of the operation of an UHVDC transmission system. Firstly, the operating principle of UHVDC transmission is analyzed, and the harmonic current characteristics of the commutator valve, taking into account the effect of phase change, are discussed. The rectifier side is controlled by a constant current and constant minimum $\boldsymbol{\alpha}$ angle, while the inverter side is controlled by a constant current and constant $\boldsymbol{\gamma}$ angle, and a trigger angle pulse control circuit is established. Finally, the simulation results show that the fluctuation of the trigger angle $\boldsymbol{\alpha}$ within a certain range does not affect the DC output voltage characteristics; however, as the value of the pulse trigger current increases, the amplitude of the DC current has to increase, and when it increases to 1.5 times the standard value, it basically does not change.

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Event-triggered Nonlinear control with Reset Dynamics

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IEEE Transactions on Automatic control 2025年

作者： Zhu, Lijun Chen, Zhiyong The Ministry of Education Key Laboratory of Imaging Processing and Intelligence Control China Huazhong University of Science and Technology School of Artificial Intelligence and Automation Wuhan430074 China The University of Newcastle School of Engineering CallaghanNSW2308 Australia

In this paper, we propose an improved event-triggered control law based on Lyapunov function method for a class of nonlinear systems by integrating a monotonically decreasing dynamics with a reset mechanism at each sampling instance. It is rigorously guaranteed that the sampling interval can be increased compared to a recently designed Lyapunov-function based event-triggered control law when adopted at each step while the advantages compared with other existing event-triggered control laws are maintained. Then, the improved event-triggered law is applied in the adaptive control scheme. Finally, it is verified by numerical examples that the sampling efficiency is improved when the design parameter is appropriately chosen. © 1963-2012 IEEE.

关键词： Lyapunov functions

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A Streaming Feature Selection Method Based on Dynamic Feature Clustering and Particle Swarm Optimization

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IEEE Transactions on Evolutionary Computation 2024年 1-1页

作者： Song, Xianfang Ma, Hao Zhang, Yong Gong, Dunwei Guo, Yinan Hu, Ying School of Information and Control Engineering China University of Mining and Technology Xuzhou China College of Automation and Electronic Engineering Qingdao University of Science and Technology Qingdao China Beijing China School of Computer and information Anhui Normal University Wuhu China

Feature selection is an effective data preprocessing technique. In some practical applications, features may continuously arrive one by one or by groups, and we cannot know the exact number of features before learning. Streaming feature selection aims to remove redundant and irrelevant features from the continuously arriving features. The paper proposes a three-stage Streaming Feature Selection method based on Dynamic feature clustering and Particle Swarm Optimization (SFS-DPSO). In the first stage, an online relevance analysis is utilized to quickly remove irrelevant features, reducing the size of newly arrived feature groups. In the second stage, a dynamic feature clustering technique is employed to divide redundant features into different groups, thereby reducing the search space for subsequent evolutionary algorithms. In the third stage, a historical information-driven integer particle swarm optimization algorithm is exploited to search for optimal feature subset in the clustered feature space. The proposed algorithm is applied in 12 typical datasets with different difficulty levels and a real-word case, experimental results show that it can achieve better classification results in a reasonable time and is superior to most existing algorithms. IEEE

关键词： Particle swarm optimization (PSO)

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Recursive Filtering for Nonlinear Systems With Self-Interferences Over Full-Duplex Relay Networks

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IEEE/CAA Journal of Automatica Sinica 2022年第11期9卷 2037-2040页

作者： Hailong Tan Bo Shen Qi Li Wei Qian the School of Mathematics-Physics and Finance Anhui Polytechnic UniversityWuhu 241000 the Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment Ministry of EducationAnhui Polytechnic UniversityWuhu 241000China IEEE the College of Information Science and Technology Donghua UniversityShanghai 201620 the Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of EducationShanghai 201620China the School of Information Science and Engineering Hangzhou Normal UniversityHangzhou 311121China the School of Electrical Engineering and Automation Henan Polytechnic UniversityJiaozuo 454000China

Dear Editor,In this paper,a recursive filtering problem(RRP)is addressed for nonlinear systems over full-duplex relay(FDR)networks.A FDR is adopted to forward measurements of the sensor to the *** of concurrently tran... 详细信息

关键词： thereby Nonlinear filtering

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control system design technique and validation for a high-resolution mapping satellite 2

Control system design technique and validation for a high-re...

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2020 2nd International Academic Exchange Conference on science and Technology Innovation, IAECST 2020

作者： Chao, Chen Yi, Wang Shu Jie, Liu Tang, Wu Sen School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Beijing Institute of Control Engineering 100190 China

With the rapid development of the national economy, the digital city and smart city have become the development trends of China's urbanization, proposing higher and higher requirements for earth mapping. The emergence of high-resolution mapping satellites has satisfied the demand for national economic development. Since China's first satellite measuring scale of 1:10,000 was launched in 2019, thus GF-7 satellite has realized the arc-second attitude measurement accuracy, where the degree of stability reached 10-5q/s. Based on the author's multi-year research on the design of high-resolution satellite control system, the key technologies and design methods for the high-precision attitude measurement and control system were expounded, the validation results were explained, and the future direction for improving the control precision of the high-resolution mapping satellite was proposed in the end. © The Authors, published by EDP sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://***/licenses/by/4.0/).

关键词： Mapping

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Moving object Detection Based on Farneback Optical Flow 42

Moving object Detection Based on Farneback Optical Flow

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42nd Chinese control Conference, CCC 2023

作者： Ma, Zhihao Wang, Tianyu Xu, Sheng Mu, Xinxing Wang, Qiang Guo, Qingqiang School of Control Science and Engineering Shandong University Jinan250000 China School of Automation Beijing Institute of Technology Beijing100081 China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China Shandong Institute of Advanced Technology Chinese Academy of Sciences Jinan250102 China

ISBN: (纸本)9789887581543

Moving object detection in an environment with changing illumination has been an interesting research topic recently. The optical flow method has been widely used for moving object detection as an effective method. However, the conventional optical flow method is constrained by illumination conditions. It cannot eliminate the negative impacts of illumination changes. In order to solve the negative impacts of illumination changes to the optical flow method, this paper proposes a moving object detection algorithm using the optical flow method combined with feature matching. The algorithm uses the farneback optical flow method to obtain the optical flow vector with noises. It uses the Canny operator to extract the moving object and the noisy contours from the optical flow. Then, feature extraction works to obtain multidimensional features. By weighted matching calculations of multidimensional features in the two optical flows, the extraction of the moving object from the noisy optical stream is completed. Experiment examples verify that the proposed method can detect moving objects accurately in the environment with changing light. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Optical flows

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Community Search Based on Containment control of Multi-Agent System with Opinion Leaders

Community Search Based on Containment Control of Multi-Agent...

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第43届中国控制会议

作者： Siyang Liu Tong Li Jinliang Shao Wei Xing Zheng School of Automation Engineering University of Electronic Science and Technology of China Laboratory of Electromagnetic Space Cognition and Intelligent Control School of Computer Data and Mathematical SciencesWestern Sydney University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Community search is the problem of identifying the community in which a given node *** from traditional community search methods based on specific topological structures,this paper proposes a community search algorithm based on containment control of multi-agent system by studying the influence of opinion leaders with competitive relationships in community ***,the Breadth-First Search method is used to locally sample the ***,containment control of multi-agent system is applied to obtain the final state of each node for local community ***,grounded in practical considerations,an effective leadership transfer mechanism is proposed to update the results and enhance search *** experiments on real-world networks and synthetic networks in comparison with three local community detection algorithms,the effectiveness and rationality of our algorithm are demonstrated.

关键词： Community Search Opinion Leaders Multi-Agent System Containment control

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