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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Nyaaba, Ayambire Patrick Huang, Qi Li, Jian Pan, Siming Gao, Bin Tian, Guiyun Zhang, Shijun Xiao, Bin Sichuan Provincial Key Lab of Power System Wide-Area Measurement and Control School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu611731 China School of Automation Engineering University of Electronic Science and Technology of China Chengdu611731 China No. 9 Research Institute China Electronic Technology Group China

ISBN: (纸本)9781728135205

This paper implemented a current reconstruction system based on independent component analysis and magnetic field sensors. In this paper both the normal approximation and interfered approximation of magnetic flux density generated by current carrying conductors and sensed by four magnetic sensors are presented and discussed. The output voltage of the sensor array with and without interference was calculated based on the comprehensive independent component analysis algorithm. The relative reconstruction error based on the algorithm for array output voltage are within acceptable levels for protective devices proving the feasibility of the algorithm for source reconstruction. © 2019 IEEE.

关键词： Independent component analysis

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Online Open-Circuit Fault Detection and Location utilizing Estimated Instantaneous Amplitudes

Online Open-Circuit Fault Detection and Location utilizing E...

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Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), CAA Symposium on

作者： Songbing Tao Yi Chai Bowen Liu Congmei Jiang Shuiqing Xu Key Laboratory of complex system safety and control Ministry of Education College of Automation Chongqing University Chongqing China College of Electrical Engineering and Automation Hefei University of Technology Hefei China

ISBN: (数字)9781728106816

ISBN: (纸本)9781728106823

As one of the most key parts of wind power generation systems (WPGSs), the grid-connected converter plays a significant role for energy conversion. It is meaningful to ensure the stability and safety of converters in WPGSs. In this paper, a novel signal processing based approach is proposed to detect and locate power switch failures in grid-connected converters of WPGSs, which is completely different from existing current based approaches. Based on the proposed weighted sliding Hilbert transform (WSHT) algorithm, instantaneous amplitudes of the three-phase output current can be estimated online without effects of the boundary problem. At last, simulation results demonstrate the effectiveness for open-circuit faults in the grid-connected converters.

关键词： Transforms Microsoft Windows Frequency estimation Fault detection Time-frequency analysis Wind power generation Monitoring

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Singular Perturbation Approach based Boundary control of a Flexible Manipulator with High Gain Observer

Singular Perturbation Approach based Boundary Control of a F...

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第三十八届中国控制会议

作者： Zhijie Liu Hongjun Yang Yan Yang School of Automation and Electrical Engineering University of Science and Technology Beijing The State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences School of Electro-Mechanical Engineering Xidian University

In this study, boundary control of a flexible manipulator is developed on the basis of the dynamic, partial differential equation(PDE) model. One of the main contributions is that the high gain observer is first applied to the PDE model of a flexible manipulator instead of measuring link velocity and end actuator velocity. In addition, using singular perturbation approach the PDE model is divided into two simpler subsystems to simplify the control design. Based on the proposed observer and decoupled PDE model, a sliding mode boundary control is designed to regulate angular position and suppress elastic vibration simultaneously. Numerical simulations demonstrate the effectiveness of the proposed scheme.

关键词： Boundary control flexible manipulator PDE model high gain observer singular perturbation

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A Multivariate Time Series Classification based Multiple Fault Diagnosis Method for Hydraulic systems

A Multivariate Time Series Classification based Multiple Fau...

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第三十八届中国控制会议

作者： Xiaohang Zhao Ke Zhang Yi Chai Complex system safety and control Key Laboratory of Ministry of Education School of Automation Chongqing University IEEE Department of Electrical and computer engineering Duke University

Hydraulic systems is a class of nonlinear complex *** are many typical characteristics with the systems:multiple functional components,multiple operation modes,space-time coupling work,and monitoring signals for faults are multivariate time series data,*** of the characteristics,fault diagnosis for Hydraulic systems is not *** fault diagnosis methods mostly ignore the multivariable timing characteristics of monitoring signals,it has made many detection and diagnosis(especially for multiple fault)can not keep high accuracy,and some of the methods are not even be able to multiple fault *** at the problem,a multivariate time series classification based diagnosis method is ***,extracting timing characteristics(transformed features)from the time series data collected via sensors by 1-NN ***,training the transformed features by multi-class OVO-SVM to classify multivariate time *** of the method contains single fault and multiple faults conditions,the results show that the method has high accuracy,it can complete multiple-faults classification.

关键词： fault diagnosis hydraulic systems multivariate time series analysis classification

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The Performance Evaluation and Resilience Analysis of Supply Chain Based on Logistics Network

The Performance Evaluation and Resilience Analysis of Supply...

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Chinese control Conference (CCC)

作者： Weiqi Sun Yuanlong Li Liangren Shi Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing of the Ministry of Education Shanghai P. R. China Shanghai Key Laboratory of Navigation and Location-based Services and Academy of Information Technology and Electrical Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9789881563903

ISBN: (纸本)9781728165233

With the development of globalization, more and more enterprises are involved in the supply chain network with increasingly complex structure. In this paper, enterprises and relations in the logistics network are abstracted as nodes and edges of the complex network. A graph model for a supply chain network to specified industry is constructed, and the Neo4j graph database is employed to store the graph data. This paper uses the theoretical research tool of complex network to model and analyze the supply chain, and designs a supply chain network evaluation system which include static and dynamic measurement indexes according to the statistical characteristics of complex network. In this paper both the static and dynamic resilience characteristics of the the constructed supply chain network are evaluated from the perspective of complex network. The numeric experimental simulations are conducted for validation. This research has practical and theoretical significance for enterprises to make strategies to improve the anti-risk capability of supply chain network based on logistics network information.

关键词： Supply chains Complex networks Indexes Robustness Resilience

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Optimization of Energy Management system for Fuel-Cell/Battery Hybrid Power in Unmanned Aerial Vehicle

Optimization of Energy Management System for Fuel-Cell/Batte...

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International Conference on electrical Machines and systems (ICEMS)

作者： Kun Han Hao Qian Qinling Zhang Lumi Liu Xuanyang Hu School of Automation Science and Electrical Engineering Beihang University Beijing China Institute of Unmanned System Beihang University Beijing China Beijing Institute of Control Engineering Beijing China

Fuel-cell can be a competitive energy device in the future due to the features of zero emission and high efficiency. Generally, fuel-cell will be used with other energy storage devices because of its slow dynamic response. This paper presents an optimized energy management system for fuel-cell/battery hybrid power unmanned aerial vehicle (UAV). The fuel-cell/battery hybrid system consists of fuel-cells, lithium-ion batteries, along with associated dc/dc converters. Energy management systems are used in order to distribute demand power to power sources (fuel-cell and lithium-ion batteries). State-machine strategy is proposed because of limit calculated ability of UAV and easy for engineering implementation. This paper proposed corresponding power control method for fuel-cell and lithium-ion batteries. In order to minimize the weight of hybrid power system, we take the maximum output power of fuel cell as the input variable, establish the weight model of fuel cells and batteries, found the optimal sizing of FC/BAT. This hybrid power system simulation model has been built on Simulink. The energy management strategies have been tested in a full flight load profile. Results of simulation verified that energy management could distribute demand power reasonable and maintain voltage of DC-bus stable.

关键词： Batteries Fuel cells Energy management Hybrid power systems State of charge Power generation Integrated circuit modeling

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Opacity of Nondeterministic Transition systems: A (Bi)Simulation Relation Approach

Opacity of Nondeterministic Transition Systems: A (Bi)Simula...

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作者： Zhang, Kuize Yin, Xiang Zamani, Majid ACCESS Linnaeus Center School of Electrical Engineering KTH Royal Institute of Technology Stockholm10044 Sweden Department of Automation Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai200240 China Computer Science Department University of Colorado Boulder BoulderCO80309 United States

In this paper, we propose several opacity-preserving (bi)simulation relations for nondeterministic transition systems (NTSs) in terms of initial-state opacity, current-state opacity, K-step opacity, and infinite-step opacity. We also show how one can leverage quotient constructions to compute such relations. As a result, although the opacity verification problem for infinite NTSs is generally undecidable, if one can find such an opacity-preserving relation from an infinite NTS to a finite one, the (lack of) opacity of the infinite NTS can be easily verified over the finite one, which is decidable. © 1963-2012 IEEE.

关键词： Opacity

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Line-point feature based structure-preserving image stitching

Line-point feature based structure-preserving image stitchin...

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Chinese automation Congress (CAC)

作者： Longyun Chi Xujun Guan Xiaorong Shen Hai Zhang School of Automation Science and Electrical Engineering Beihang University Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

The naturalness of the panoramic image is an important criterion for evaluating the result of image stitching. When the overlapping region of the image has a low-texture area, the alignment is hard to accomplish due to incorrect and inadequate feature point matching pairs, and the salient structures are easily destroyed due to the unreasonable position of the optimal seam. To solve the problem, we use line segment matching information to assist the alignment of low-texture regions and use superpixel segmentation regions to filter the unreliable point correspondences. An improved seam-finding algorithm is finally used to blend images together. The experimental results demonstrate that the proposed method can get more natural stitching results.

关键词： Image segmentation Strain Feature extraction Information filters Matched filters Optimization

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An Improved Robust Adaptive Kalman Filtering Algorithm

An Improved Robust Adaptive Kalman Filtering Algorithm

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第三十八届中国控制会议

作者： Liuyang Jiang Wenxing Fu Hai Zhang Zheng Li Longyun Chi School of Automation Science and Electrical Engineering Beihang University Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory National Airspace Management Center

Robust adaptive Kalman filter(RAKF) is a method that can not only compensate for the model errors but also resist the measurement outliers. The method reduces the influence of the measurement outliers on the filtering system by reducing the weight of the abnormal observation. After the processing of robust estimation, all the errors are attributed to the inaccuracy of the model. Since the robust estimation is not theoretically quantitative that it can only reduce the observation error to a certain extent, the remaining observation errors are compensated as the model errors, resulting in new estimation errors. To address this problem, a method for detecting the model error is proposed as a trigger condition for RAKF to compensate for the model error,and this constitutes an improved robust adaptive Kalman filter(IRAKF) algorithm. The new algorithm performs the model errors compensation stricter than the original method. The efficacy of the improved algorithm is demonstrated via a traffic running testing with GPS/INS tight integration navigation system. Simulation results indicate that the improved algorithm can effectively reduce the inaccurate adaptive procedure and obtain relatively accurate and stable filtering results.

关键词： Adaptive Kalman Filter Robust Estimation Improved Model Errors Tight Integrated Navigation

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Prescribed-time cooperative guidance law with seeker-less followers against multiple targets

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ISA transactions 2025年

作者： Yunjie Wu Xuman An Yueyang Hua Guofei Li Bohao Li State Key Laboratory of Virtual Reality Technology and System Beihang University Beijing 100191 China School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Science and Technology on Aircraft Control Laboratory Beihang University Beijing 100191 China. Electronic address: wyjmip@***. Science and Technology on Aircraft Control Laboratory Beihang University Beijing 100191 China. Electronic address: anxuman@***. China Academy of Launch Vehicle Technology Beijing 100191 China. Electronic address: by1503102@***. School of Astronautics Northwestern Polytechnical University Xi'an 710072 China. Electronic address: liguofei@***. Beijing Institute of Control and Electronic Technology Beijing 100038 China. Electronic address: libh08@***.

In this paper, a grouped prescribed-time cooperative guidance law (GPCGL) is proposed for multiple vehicles to attack multiple targets without collision, where one leader and seeker-less followers are involved in each subgroup. A distributed guidance law is presented for leaders to achieve separated time attack on their respective targets, while the guidance law for followers consists of two parts: tangential direction and normal direction in the follower-to-leader line-of-sight (LOS) frame. For the former, a proportional consensus guidance law is proposed based on an auxiliary control term to guarantee both the intra-subgroup cooperation and distance-based collision avoidance simultaneously; for the latter, a dynamic LOS angle constrained guidance law is applied to achieve direction-based collision avoidance. The proposed GPCGL is proved to be prescribed-time convergent, where the states can converge within the prescribed time. Simulations are carried out to verify the effectiveness.

关键词： Collision avoidance Grouped cooperative guidance Multiple targets Prescribed-time convergence Seeker-less followers

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