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42nd Chinese control Conference, CCC 2023

作者： Hu, Chenyu Chen, Xin Li, Chengyu Huang, Guangxian Zhou, Cheng Jian, Xu School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China School of Future Technology China University of Geosciences Wuhan430074 China State Grid Hubei Electric Power Co. Ltd. Xianning Power Supply Company Distribution Department Xianning437000 China State Grid Hubei Electric Power Co. Ltd Operations and Maintenance Department Xianning xian'An District Power Supply Company Xianning437000 China Equipment Technology Center State Grid Hubei Electric Power Co. Ltd. Electric Power Science Research Institute Wuhan430077 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China

ISBN: (纸本)9789887581543

Live-maintaining work is essential for continuous power supply to the substation. To improve the safety and efficiency of live-maintaining work, this paper proposes an equipotential live-maintaining robot system suitable for 110kV voltage levels. Considering the narrow space, complex working conditions and strong electromagnetic interference in substations, binocular vision technology, manipulator trajectory planning algorithm based on time-energy optimization, high voltage electromagnetic shielding technology are utilized to develop the system, and the live-maintaining robot is successfully applied in actual substation. By accurately identifying and locating the joint bolts and insulator, the robot system can achieve equipotential live-disassemble, live-assemble the joint bolts within 18 minutes and live-clean insulator within 5 minutes, demonstrating its the effectiveness and practicability. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Electromagnetic pulse

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Unexpected Role of Singlet Oxygen Generated in Urea-Modulated Lafeo3 Perovskite Heterogeneous Fenton System in Denitrification: Mechanism and Theoretical Calculations

SSRN

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SSRN 2023年

作者： Qian, Zhen Luo, Mengchao Feng, Xiaohe Yang, Xiaojie Guo, Yongxue Yang, Lijuan Yuan, Bo Zhao, Yi Hao, Runlong Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and Engineering North China Electric Power University Baoding071003 China MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and Engineering North China Electric Power University Beijing102206 China

This study appears an unprecedented phenomenon that 1O2, generated in urea-modulated LaFeO3 (U-LaFeO3) perovskite heterogeneous Fenton system, is superior to OH• and O2•- in NO removal. The 2.5U-LaFeO3/H2O2 system can remove 82.9% of NO, with a low H2O2/NO molar ratio (4.7) and high GHSV (30,800 h-1), along with good environmental adaptability and reusability. Urea modulation induced the formations of abundant La defects, O vacancies and Fe(IV), also improved the pore structure and surface area. The contribution order of different free radicals to NO removal is 1O2 > O2•- > •OH. Characterization combined with theoretical calculation clarify that (i) H2O2 is inclined to derive HO2• on Fe sites;(ii) 1O2 is mainly generated from O2•- reaction with Fe(IV)/Fe(III);(iii) •OH is mainly produced by splitting of H2O2 on Fe site and decomposition of HO2• on OV site. The main denitrification paths are NO+1O2→NO2, NO2+•OH→NO3- and NO+•OH→NO2-. © 2023, The Authors. All rights reserved.

关键词： Urea

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Biochar Doped Carbon Nitride to Enhance the Photocatalytic Hydrogen Evolution: Synergy of Nitrogen Vacancies and Bridging Carbon Structure and First-Principles Calculation

SSRN

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SSRN 2023年

作者： Sun, Juan Zhang, Bin Chen, Wenxin Tao, Zichen Liu, Jie Wang, Lidong Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and Engineering North China Electric Power University Baoding071003 China MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and Engineering North China Electric Power University Beijing102206 China

Enhancing the separation and transfer of photogenerated carries is vital for improving the efficiency of photocatalytic hydrogen evolution reaction (HER) of graphitic carbon nitride (g-C3N4). Herein, a carbon-rich g-C3N4 with nitrogen vacancies (CCN4) was constructed by incorporating the biochar into g-C3N4 during a thermal polymerization in N2 atmosphere. The doped carbon atoms replaced the bridged nitrogen and increased the delocalization π states. The synergy of the enhanced π states and nitrogen vacancy favored to narrow the bandgap and accelerate the charge separation and migration in catalyst. Meanwhile, the CCN4 catalyst had a favorable kinetics for HER with simpler steps and lower energy barrier than the PCN sample in which H2 production from *H is prior to OH generation. The CCN4 catalyst exhibited excellent HER activity with a hydrogen evolution rate of 3342 μmol·g-1·h-1 with 0.5wt% cocatalyst Pt, which was 5.06 times higher than that of pristine g-C3N4 (PCN). Additionally, CCN4 exhibited good resistance to salt with the concentration near natural seawater, showing the further improved hydrogen evolution rate of 3809 μmol·g-1·h-1. The findings reported in this work shed light on a biochar-tailored protocol to control the defects of g-C3N4 and optimize its intrinsic electronic properties and photocatalytic HER. © 2023, The Authors. All rights reserved.

关键词： Electronic properties

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Optimal Operation of Flexible Interconnected Distribution Networks

Optimal Operation of Flexible Interconnected Distribution Ne...

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2021 International Conference on Advanced Electrical Equipment and Reliable Operation, AEERO 2021

作者： Qi, Qi Xie, Hongbin Qi, Buyang Xu, Yanping Li, Pai China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy Storage Systems Beijing China Tsinghua University Department of Electrical Engineering Beijing China

ISBN: (纸本)9781665402644

With large-scale distributed generation (DG) being integrated into distribution networks, the idea of using power electronic devices to improve distribution network operation have attracted increasing attentions. The transition of distribution networks into flexible interconnected ones, which contain considerable penetrations of AC/DC converters and soft open points (SOPs) is foreseen. In this paper, an optimization framework to improve the operation of the new form of distribution networks is proposed, where a novel searching technique is developed to determine the optimal set-points of the power electronic devices with increased efficiency. A generic power flow algorithm considering different modes of the controllable devices is presented, where the power flow problem is formulated into a set of nonlinear equations, and a globally convergent Newton-trust region method is adopted to solve it. Results of the case study demonstrate the feasibility and efficiency of the proposed method. © 2021 IEEE.

关键词： Distributed power generation

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WING: Wheel-Inertial Neural Odometry with Ground Manifold Constraints

arXiv

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arXiv 2024年

作者： Jiang, Chenxing Zhang, Kunyi Yang, Sheng Shen, Shaojie Xu, Chao Gao, Fei The State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou China State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong Alibaba DAMO Academy Hangzhou China Huzhou Institute Zhejiang University Huzhou China

In this paper, we propose an interoceptive-only odometry system for ground robots with neural network processing and soft constraints based on the assumption of a globally continuous ground manifold. Exteroceptive sensors such as cameras, GPS and LiDAR may encounter difficulties in scenarios with poor illumination, indoor environments, dusty areas and straight tunnels. Therefore, improving the pose estimation accuracy only using interoceptive sensors is important to enhance the reliability of navigation system even in degrading scenarios mentioned above. However, interoceptive sensors like IMU and wheel encoders suffer from large drift due to noisy measurements. To overcome these challenges, the proposed system trains deep neural networks to correct the measurements from IMU and wheel encoders, while considering their uncertainty. Moreover, because ground robots can only travel on the ground, we model the ground surface as a globally continuous manifold using a dual cubic B-spline manifold to further improve the estimation accuracy by this soft constraint. A novel space-based sliding-window filtering framework is proposed to fully exploit the C2 continuity of ground manifold soft constraints and fuse all the information from raw measurements and neural networks in a yaw-independent attitude convention. Extensive experiments demonstrate that our proposed approach can outperform state-of-the-art learning-based interoceptive-only odometry methods. © 2024, CC BY.

关键词： Navigation systems

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High-order Fully Actuated Approach for Output Position control of Two Mass systems based on Extended State Observer

High-order Fully Actuated Approach for Output Position Contr...

引用

Fully Actuated System Theory and Applications (CFASTA), Conference on

作者： Ping Li Guang-Ren Duan Bi Zhang Yuzhong Wang Shenzhen Key Laboratory of Control Theory and Intelligent Systems School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China Department of Mechanical and Energy Engineering Southern University of Science and Technology Shenzhen China

ISBN: (数字)9798350373691

ISBN: (纸本)9798350373707

This paper proposes a high-order fully actuated (HOFA) control approach for the output position control of two-mass systems (TMSs) based on extended state observer (ESO). TMSs belongs to a class of underactuated mechanical systems, which can be converted into an HOFA model using variable elimination. Based on the feature of HOFA model, it is extremely simple to solve the position control law such that a desired tracking error system can be achieved. To handle the control issues of high-order derivatives and unknown disturbances, a linear ESO is employed for state estimation and active disturbance rejection control, where the lumped disturbance is treated as an extended system state. The theoretical stability of control system is analyzed with the help of sliding manifold. Comparative simulations are performed to demonstrate the effectiveness of the proposed approach.

关键词： Robust control Uncertain systems Simulation Position control Observers control systems Stability analysis

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Performance Comparison of Fuzzy Logic control and PI control for DC Microgrid

Performance Comparison of Fuzzy Logic Control and PI Control...

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IEEE SSD International Multi-Conference on systems, Signals and Devices

作者： Ayman Masmali Abdul-Wahid A. Saif Mujahed M. Al-Dhaifallah Control and Instrumentation Engineering Department King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia Interdisciplinary Research Center for Smart Mobility and Logistics Interdisciplinary Research Center for Renewable Energy and Power Systems

This paper aims at improving the performance of a DC Microgrid System, by introducing different control strategies and testing the performance of each. The components of this system are PV-source, power converters, and storage systems. The overall system will first be designed to be able to test the improvement of using the control strategies. Simulink will be used to implement the system modeling and testing. Different control schemes could be used in this context, such as fuzzy logic controller.

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Double-Circuit control System of the Electric Mode of an Arc Furnace with a Fuzzy Phase-by-Phase Asymmetrical Adjustment of Arc Lengths 5

Double-Circuit Control System of the Electric Mode of an Arc...

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5th IEEE International Conference on Modern Electrical and Energy System, MEES 2023

作者： Paranchuk, Yaroslav Shabatura, Yuriy Kuznyetsov, Oleksiy Rudyy, Taras Chumakevych, Viktor Matviikiv, Andrii Lviv Polytechnic National University Lviv Ukraine Hetman Petro Sahaidachnyi National Army Academy Lviv Ukraine Hetman Petro Sahaidachnyi National Army Academy Department of Electromechanics and Electronics Lviv Ukraine Lviv Polytechnic National University Department of Engineering Geodesy Lviv Ukraine Lviv State University of Internal Affairs Lviv Ukraine Lviv Polytechnic National University Institute of Power Engeneering and Control Systems Lviv Ukraine

ISBN: (纸本)9798350359787

A double-circuit automatic control system (ACS) of the electric mode (EM) of an arc furnace (AF) is developed. A model of a fuzzy phase-asymmetric rule for arc length regulation is proposed. A block diagram is developed and the design of an element for generating a mismatch signal of EM for AF is carried out according to the developed fuzzy rule. A Simulink-model of the developed double-circuit ACS of EM has been developed and comparative computer simulations of the quality indicators of controlling the EM coordinates for the proposed double-circuit structure of the ACS and the serial arc power regulator ARDM-T-12 of the DSP-200 arc furnace are carried out. The results of the comparative analysis have shown an improvement in a number of AF energy efficiency indicators and an increase in the dynamic accuracy of EM coordinate stabilization when regulating random disturbances by the double-circuit structure as compared to the arc power regulator ARDM-T-12. © 2023 IEEE.

关键词： Energy efficiency

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Digital Twin of Wind Turbine Surface Damage Detection Based on Deep Learning-Aided Drone Inspection

SSRN

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SSRN 2024年

作者： Hu, Weifei Fang, Jianhao Zhang, Yaxuan Liu, Zhenyu Tan, Jianrong Verma, Amrit Shankar Liu, Hongwei Cong, Feiyun State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Hangzhou310058 China Engineering Research Center for Design Engineering and Digital Twin of Zhejiang Province Hangzhou310058 China School of Mechanical Engineering Zhejiang University Hangzhou310058 China Department of Mechanical Engineering The University of Maine OronoME04473 United States

Wind turbine (WT) surface damage detection based on deep learning-aided drone inspection is an important emerging technology. Traditional deep learning algorithms have the issues of low global search capability, low damage detection accuracy, and long inference time. This paper proposes a new real-time detection and semantic segmentation-you only look once (RDSS-YOLO) neural network (NN) for both real-time and accurate detection and semantic segmentation of WT surface damage. A damage size quantification method is further created to calculate the real size of WT surface damage using segmentation results. Moreover, a digital twin (DT) of WT surface damage detection based on the drone inspection aided by the proposed deep learning methods is developed, which can ultimately realize real-time surface damage detection for both standstill and rotating WTs. The proposed RDSS-YOLO NN is tested on an augmented drone inspection dataset and obtains results that are superior to those obtained by some state-of-the-art surface damage detection NNs. The proposed damage size quantification method is tested on another dataset generating small average relative errors for different types of WT surface damage. The developed DT has been successfully applied in three different wind farms and achieved the real-time detection and semantic segmentation of WT surface features. © 2024, The Authors. All rights reserved.

关键词： Damage detection

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Resource-Efficient and Self-Adaptive Quantum Search in a Quantum-Classical Hybrid System

arXiv

引用

arXiv 2024年

作者： Jiang, Zihao Du, Zefan Ruan, Shaolun Chen, Juntao Wang, Yong Cheng, Long Buyya, Rajkumar Mao, Ying The Department of Computer and Information Science Fordham University New York City United States The School of Computing and Information Systems Singapore Management University Singapore The School of Control and Computer Engineering North China Electric Power University Beijing China The School of Computing and Information Systems The University of Melbourne Australia

Over the past decade, the rapid advancement of deep learning and big data applications has been driven by vast datasets and high-performance computing systems. However, as we approach the physical limits of semiconductor fabrication in the post-Moore's Law era, questions arise about the future of these applications. In parallel, quantum computing has made significant progress with the potential to break limits. Major companies like IBM, Google, and Microsoft provide access to noisy intermediate-scale quantum (NISQ) computers. Despite the theoretical promise of Shor's and Grover's algorithms, practical implementation on current quantum devices faces challenges, such as demanding additional resources and a high number of controlled operations. To tackle these challenges and optimize the utilization of limited onboard qubits, we introduce ReSaQuS, a resource-efficient index-value searching system within a quantum-classical hybrid framework. Building on Grover's algorithm, ReSaQuS employs an automatically managed iterative search approach. This method analyzes problem size, filters less probable data points, and progressively reduces the dataset with decreasing qubit requirements. Implemented using Qiskit and evaluated through extensive experiments, ReSaQuS has demonstrated a substantial reduction, up to 86.36% in cumulative qubit consumption and 72.72% in active periods, reinforcing its potential in optimizing quantum computing application deployment. © 2024, CC BY.

关键词： Hybrid systems

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