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SSRN 2023年

作者： Chunhui, Liang Chao, Ding Xiaoyang, Zuo Jinfa, Li Qing, Guo School of Electrical and Information Engineering Changchun Institute of Technology Changchun130025 China National local joint Engineering Research Center for Measurement and Control and Safe Operation Technology of Intelligent Distribution Network Changchun130103 China Jilin Institute of Chemical Technology Jilin132022 China

In order to solve the problem of wind and light abandonment in new energy power generation system, a scheduling strategy of wind, light and fire combined power generation system including concentrating solar power (CSP) station is proposed in this paper. The day-ahead scheduling model of the combined power generation system is established with the maximum net income and the maximum load tracking ability as the optimization objectives. The fixed scene method was used to simulate the source load uncertainty. The Latin Hypercube sampling method and synchronous back substitution method were used to generate and reduce the scene, and different typical scenes were selected according to the scene probability. The combined spiral motion control strategy is added to the grasshopper optimization algorithm (GOA) to solve the scheduling model, which enhances the optimization performance of the algorithm. The effectiveness and correctness of the proposed model and the improved algorithm are verified by simulation in IEEE-30 node system. The numerical results show that the optimal scheduling strategy of multi-energy system proposed in this paper has significant functions in calming load fluctuation and improving system absorption ability. © 2023, The Authors. All rights reserved.

关键词： Optimization

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Capacity Configuration Optimization of Wind-Solar Combined Power Generation System Based on Improved Grasshopper Algorithm

SSRN

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SSRN 2023年

In this paper, a wind-solar combined power generation system is proposed in order to solve the absorption problem of new energy power generation. Based on the existing installed capacity of local wind power, a concentrating solar power (CSP) station and its energy storage system are configured, and a two-layer capacity optimization allocation method considering the incentive user response is proposed. Firstly, a two-layer capacity optimization model considering incentive user response is established. Secondly, grasshopper optimization algorithm based on embedded spiral motion control strategy was used to solve the upper configuration model, and the lower scheduling model was solved by Cplex solver. Finally, three typical scenarios are set up for simulation, and the wind power, CSP and energy storage configuration capacity are respectively given in different scenarios. The simulation results show that the addition of a CSP station can effectively improve the absorption capacity of local wind power generation system and reduce the amount of wind abandonment. The capacity optimization allocation method proposed in this paper can effectively alleviate the load peak demand, improve the optimization allocation model of wind-solar combined power generation system, make the configuration results more reasonable, and improve the economy of the system. © 2023, The Authors. All rights reserved.

关键词： Wind power

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Observation of spatiotemporal stabilizer in a multi-mode fibre laser

arXiv

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arXiv 2024年

作者： Gao, Chenxin Wang, Chengjiu Jiao, Zhenghao Cao, Bo Xiao, Xiaosheng Yang, Changxi Bao, Chengying State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision Instruments Tsinghua University Beijing100084 China State Key Laboratory of Information Photonics and Optical Communications School of Electronic Engineering Beijing University of Posts and Telecommunications Beijing100876 China

Spatiotemporal mode-locking (STML) has become an emerging approach to realize organized wavepackets in high-dimensional nonlinear photonic systems. Mode-locking in one dimensional systems employs a saturable absorber to resist fluctuations in the temporal domain. Analogous suppression of fluctuations in the space-time domains to retain a consistent output should also exist for STML. However, experimental evidence of such a resistance remains elusive, to our knowledge. Here, we report experimental observation of such a spatiotemporal stabilizer in STML, by embedding a spatial light modulator (SLM) into a multi-mode fibre (MMF) laser. Mode decomposition reveals the mode content remains steady for an STML state when applying phase perturbations on the SLM. Conversely, the mode content changes significantly for a non-STML lasing state. Numerical simulations confirm our observation and show that spatial filtering and saturable absorber mainly contribute to the observed stability. The capability to resist the spatial phase fluctuations is observed to depend on the intracavity pulse energy as well as the modal pulse energy condensed in the low-order modes. Our work constitutes another building block for the concept of STML in multi-mode photonic systems. © 2024, CC BY.

关键词： Saturable absorbers

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A Non-Iterative LMI-Based Design of Static Output Feedback control with $\mathcal{L}_{2}$ Gain Performance for Linear Systems

A Non-Iterative LMI-Based Design of Static Output Feedback C...

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International Conference on Electrical, control and Instrumentation engineering (ICECIE)

作者： Hidetoshi Oya Daiki Asada Shunya Nagai Kazushi Nakano Department of Computer Science Tokyo City University Tokyo Japan Graduate School of Integrative Science and Engineering Tokyo City University Tokyo Japan Department of Electronics and Control Engineering National Institute of Technology (KOSEN) Niihama College Ehime Japan Graduate School of Informatics and Engineering The University of Electro-Communications Tokyo Japan

In this paper, we present a new LMI-based non-iterative design strategy for static output feedback controllers with $\mathcal{L}_{2}$ Gain Performance for linear systems. In our approach, on the basis of the well-know... 详细信息

ISBN: (数字)9798350380040

ISBN: (纸本)9798350380057

In this paper, we present a new LMI-based non-iterative design strategy for static output feedback controllers with $\mathcal{L}_control$ Gain Performance for linear systems. In our approach, on the basis of the well-known necessary and sufficient condition for the existence of the static output feedback control for linear systems, the non-iterative LMI-based design procedure for the proposed static output feedback controller is derived. In this paper, we show the LMI-based non-iterative design procedure for static output feedback controllers with $\mathcal{L}_control$ Gain Performance and the effectiveness of the proposed static output feedback control is presented through a simple illustrative example.

关键词： Linear systems Sufficient conditions Instruments Interconnected systems control systems Output feedback Gain

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TransTracking for UAV: An Autonomous Real-time Target Tracking System for UAV via Transformer Tracking

TransTracking for UAV: An Autonomous Real-time Target Tracki...

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2021 International Conference on Intelligent technology and Embedded Systems, ICITES 2021

作者： Sun, Xiaolou Xie, Fei Wang, Qi Yao, Yuncong Wang, Hao Wang, Wei Yang, Wankou School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China Nanjing University of Information Science and Technology School of Automation Nanjing211800 China

ISBN: (纸本)9781665427555

Most of the existing Siamese-type trackers usually adopt pre-defined anchor boxes or anchor-free schemes to accurately estimate the bounding box of targets. Unfortunately, they suffer from complicated hand-designed components and tedious post-processings. It is not easy to adjust parameters for unique scenes in real applications. So, we propose a new scheme by formulating visual tracking as a direct set prediction problem to alleviate this issue. The main component is a transformer attached to the Siamese-type feature extraction networks. Thus, our new framework can be summarized as Siamese Network with Transformers (SiamTFR). With a fixed small set of learned object queries, we force the final set of predictions via bipartite matching, significantly reducing hyper-parameters associated with the candidate boxes. Due to the unique predictions of this framework, we significantly ease the heavy burden of hyper-parameters search of post-processings in visual tracking. Extensive experiments on visual tracking benchmarks, including GOT-10K, demonstrate that SiamTFR achieves competitive performance and runs at 50 FPS. Specifically, SiamTFR outperforms leading anchor-based tracker SiamRPN++ in the GOT-10K benchmark, confirming its effectiveness and efficiency. Furthermore, SiamTFR is deployed on the embedded device in which the algorithm can be run at 30FPS or 54FPS with TensorRT meeting the real-time requirements. In addition, we design the complete tracking system demo that can work in the real road to narrow the gap between the academic models and industrial deployments. © 2021 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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An ${H_\infty }$ Load Frequency control Scheme for Multi-Area Power System Under Cyber-Attacks and Time-Varying Delays

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IEEE Transactions on Power Systems 2022年第2期38卷 1336-1349页

作者： Guangdou Zhang Jian Li Olusola Bamisile Yankai Xing Dongsheng Cai Qi Huang Power System Wide-Area Measurement and Control Sichuan Province Key Laboratory School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu Sichuan China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan China

In the power system, the application of the signals transmitted from the sensors to the controller can significantly improve the dynamic performance. However, cyber-attacks and time delays exist widely in the communication network, which has a considerable effect on stability, operation, and control. In this paper, an ${{\boldsymbol{H}}_\infty }$ load frequency control (LFC) scheme for multi-area power systems under cyber-attacks and time-varying delays is investigated. First, false data injection attacks (FDIA), as well as denial of service (DoS) attacks, are viewed as two typical cyber-attacks and introduced into the multi-area power system. Then, the state-space equations of the LFC power system under these two attacks and time-varying delays are analyzed and modeled. Furthermore, by using Lyapunov stability theory and linear matrix inequality (LMI) method, an ${{\boldsymbol{H}}_\infty }$ LFC scheme for attacked and delayed power systems is developed. The purpose of the proposed controller is to guarantee the closed-loop system exponentially mean-square stable with prescribed ${{\boldsymbol{H}}_\infty }$ performance. Finally, a three-area LFC system is employed to demonstrate the effectiveness of the proposed mechanism. The simulation results verified that the control performance of an attacked and delayed system can be improved significantly via the designed controller.

关键词： Power system stability Delays Frequency control Delay effects Stability analysis Mathematical models Time-varying systems

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Research on Variable Speed Limit control Strategy under Freeway Traffic Incidents in Remote Areas 23

Research on Variable Speed Limit Control Strategy under Free...

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23rd COTA International Conference of Transportation Professionals: Emerging Data-Driven Sustainable Technological Innovation in Transportation, CICTP 2023

作者： Yang, Xiang Tang, Bolun Lei, Wei Wang, Qingyuan Lin, Shan Hebei Xiongan Rongwu Expressway Limited Company Hebei China School of Electronics and Control Engineering Chang'an Univ. Xi'an China Hebei Provincial Communications Planning Design and Research Institute Co. Ltd. Hebei China Research and Development Center of Transport Industry of Self-Driving Technology Hebei China Hebei Engineering Research and Development Center of Vehicle-Road-Cloud Integration Hebei China

ISBN: (数字)9780784485040

ISBN: (纸本)9780784485040

The variable speed limit is vital in improving the traffic condition under incidents. Since the lack of funds to install many detectors, existing variable speed limit control algorithms are difficult to apply to remote freeways. A variable speed limit control model is proposed in this paper to solve the problem of variable speed limits on remote freeways. The model describes the parameter setting of variable speed limit control. In the experiment, a two-way four-lane highway model is built in VISSIM. The traffic volume at different levels of service is selected as the vehicle input. The maximum queue length is chosen as the index to evaluate traffic efficiency under different control strategies. The results show that our proposed model can reduce the queue length by 38.77% at most under traffic volume at the second level of service. © ASCE.

关键词： Speed control

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The In-Situ Excitation on Internal Electrode of Dbd-Oes System for Cadmium Sensitive Detection

SSRN

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SSRN 2023年

作者： Cai, Yi Li, Wei Yao, Cheng Zhao, Yong School of Control Engineering Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology Northeastern University at Qinhuangdao Qinhuangdao066004 China College of Information Science and Engineering Northeastern University Shenyang110819 China

The miniature systems using microplasma excitation sources provide reliable tools for the portable detection of heavy metal contamination. Dielectric barrier discharge (DBD)-based optical emission spectrometry has emerged as a significant technique for the detection of metal ions recently. Here, a sensitive miniature DBD-OES system for cadmium enrichment and detection is developed. A piece of ceramic tube with abundant hydroxyl (-OH) and alumina (Al-O) functional groups is used for cadmium pre-concentration and serve as a part of the internal electrode of the DBD. When microplasma generates, the cadmium on the surface of the internal electrodes is desorbed and in-situ excited, and the characteristic emission line of cadmium appears. The mechanism of cadmium excitation on ceramic tube, the characteristics of the microplasma excitation and the enrichment on the internal electrode are discussed. Under the working conditions, the emission intensity of cadmium shows linear relationship within the range of 0.5-8 μg L-1, and the limit of detection (LOD) is 0.3 μg L-1. Finally, a series of water samples are determined to validate the practicality of the present system. © 2023, The Authors. All rights reserved.

关键词： Dielectric barrier discharge

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Adaptive Neural Network Asymptotic Tracking control for Autonomous Surface Vehicles

Adaptive Neural Network Asymptotic Tracking Control for Auto...

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Industrial Cyber-Physical Systems (ICPS)

作者： Yongchao Liu Qingzhi Wang Baozeng Fu Institute of Complexity Science School of Automation Qingdao University Qingdao China Shandong Key Laboratory of Industrial Control Technology Qingdao China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing China

In this paper, an adaptive neural network asymptotic tracking control method is presented for autonomous surface vehicles (ASV) with unknown uncertainties. In the control design, a smooth function is integrated into backstepping construction, which can achieve asymptotic convergence. The neural networks are borrowed to approximate the lumped nonlinear functions encompassing the unknown dynamics. It can be proved that the tracking errors of ASV can asymptotically converge to zero and all signals of the ASV closed-loop system are bounded. We offer simulation images to exhibit the validity of the devised asymptotic control method of ASV.

关键词： Adaptation models Backstepping Uncertainty Adaptive systems control design Process control Artificial neural networks

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Efficient Path-Following for Urban Logistics: A Fuzzy control Strategy for Consumer UAVs under Disturbance Constraints

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IEEE Transactions on Consumer Electronics 2025年

作者： Shao, Xingling Du, Jun Xia, Yi Zhang, Zekai Hou, Xiangwang Debbah, Merouane North University of China School of Electrical and Control Engineering Taiyuan030051 China State Key Laboratory of Extreme Environment Optoelecronic Dynamic Measurement Technology and Instrument Taiyuan030051 China Tsinghua University Department of Electronic Engineering Beijing100084 China Tsinghua University State Key laboratory of Space Network and Communications Beijing100084 China National University of Defense Technology College of Intelligence Science and Technology Hunan Changsha410073 China Tsinghua University Tsinghua Shenzhen International Graduate School Shenzhen518055 China Khalifa University of Science and Technology KU6G Research Center Abu Dhabi127788 United Arab Emirates

The adoption of consumer unmanned aerial vehicles (UAVs) for logistics transportation is a key aspect of the emerging low-altitude economy, yet it faces significant challenges. Urban environments introduce complex obstacles, including dense buildings and unpredictable wind disturbances, while existing control methods struggle to balance path-following accuracy, disturbance rejection, and communication efficiency. To meet these demands, this paper proposes a quantized fuzzy learning path-following control for consumer UAVs. Firstly, a hysteresis quantized fuzzy disturbance observer (HQFDO) is proposed where the disturbances are approximately estimated by a neural network. Notably, a hysteresis quantizer is employed to reduce the communication bandwidth occupation by discretizing disturbance observations. Subsequently, a distributed velocity controller and a heading angle controller are designed to tackle the geometric and dynamic tasks separately. Specifically, the velocity controller introduces a projective arc length error to mitigate inefficiencies and safety risks associated with frequent acceleration and deceleration switches. Compared to conventional techniques, the proposed approach improves transient performance, enhances path attractivity, and optimizes communication resource utilization. Theoretical stability analysis is provided, and simulations validate the effectiveness of the proposed control strategy. © 1975-2011 IEEE.

关键词： Target drones

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