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Research on Robot Disorder Screening Based on Point Cloud Algorithm 42

Research on Robot Disorder Screening Based on Point Cloud Al...

引用

42nd Chinese control Conference, CCC 2023

作者： Li, Liangliang Yang, Genghuang Wang, Baoli Yin, Changqing Tianjin University of Technology and Education School of Automation and Electrical Engineering Tianjin300222 China Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin300222 China

ISBN: (纸本)9789887581543

In this paper, the key technical problems of disorderly screening of workpieces in industrial production are studied, including the removal of background point cloud, the filtering of outlier noise points and the simplification of point cloud in Point Cloud Filtering Algorithm. The effect of Pass-through Filtering Algorithm on the removal of background point cloud is studied. Aiming at the problem of outlier noise points, an improved algorithm based on statistical filtering is proposed, and the statistical filtering is combined with point cloud clustering to realize the filtering, which verifies the feasibility of the improved algorithm. Aiming at the problem of large number of point cloud, the voxel grid down sampling algorithm is used to simplify the point cloud. Two different workpieces are used to verify the algorithm proposed in this paper. The results show that the algorithm is feasible and provides an effective solution for the problem of disorderly screening of workpieces in engineering practice. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Computer vision

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A Static Equivalent Method Considering DFIG Grid-Connected control Strategy 7th

A Static Equivalent Method Considering DFIG Grid-Connected C...

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2023 the 7th International Conference on Energy and Environmental Science - ICEES 2023

作者： Xie, Dawei Wang, Jingjing Chen, Dong Ding, Chao Wang, Lei Tian, Hongqiang Li, Shenghu Electric Power Dispatching and Control Center State Grid Anhui Electric Power Co. LTD. Hefei China School of Electrical Engineering and Automation Hefei University of Technology Hefei China

ISBN: (纸本)9783031320675

With fast increase of the renewable energy, the doubly-fed induction generator (DFIG) replaced part of thermal power units. To ensure the accuracy of the static equivalent, the impact of the control in DFIGs must be taken into consideration. However, existing studies do not consider the discrepancy of power flow with different control strategies. In this paper, the power flow based on different control strategies was calculated, then the static equivalent was established. The power flow algorithm for wind power grid connection considering the control strategy of DFIGs was established based on the DFIG model. Considering the mutual restriction of active power and reactive power in DFIGs, the final power flow model was determined in the process of solving the power flow. The reactive power sensitivity of the internal network to the external network generator was used to determine the reserved generator buses, and the admittance matrix of the system was modified to retain the structure of DFIG for static equivalence. The simulation results validate the accuracy and effectiveness of the proposed methods. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Reactive power

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Hydraulic Systems Fault Diagnosis Based on Random Forests Recursive Feature Elimination and XGBoost 2

Hydraulic Systems Fault Diagnosis Based on Random Forests Re...

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2023 2nd International Conference on Aerospace, Aerodynamics and Mechatronics engineering, AAME 2023

作者： Song, Zixiong Wang, Junle Wang, Mingxian Yang, Bingjian Cui, Langfu Zhang, Qingzhen Xiang, Gang Lin, Ruishi School of Automation Science and Electrical Engineering Beihang University Beijing China Shanghai Zhenhua Heavy Industries Co. Ltd Shanghai China Beijing Aerospace Automatic Control Institute Beijing China

This paper proposes an RFRFE-XGBoost method for fault mode recognition in hydraulic systems. The proposed method combines random forests-based recursive feature elimination (RFRFE) and extreme gradient boosting (XGBoost) to effectively identify important features and improve fault diagnosis efficiency and accuracy. The method is validated on relevant datasets and compared with existing methods, demonstrating its effectiveness and superiority. The results show that RFRFE-XGBoost can accurately recognize various fault modes and outperforms other methods in terms of classification accuracy and computational efficiency. The proposed method provides a promising approach for fault diagnosis in complex systems. © Published under licence by IOP Publishing Ltd.

关键词： Failure analysis

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The Optimized Model of Hybrid Grid Connected System for Power Generation of the University of Lahore, Pakistan

The Optimized Model of Hybrid Grid Connected System for Powe...

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2022 International Conference on electrical engineering and Sustainable Technologies, ICEEST 2022

作者： Khan, Muhammad Ahmad Zain Yousaf, Muhammad Raza, Ali Tahir, Muhammad Faizan Ali, Mazhar Qadeer, Abdul Tianjin University School of Electrical and Information Engineering Tianjin China Hubei University of Automotive Technology School of Electrical and Information Engineering Shiyan China University of Engineering and Technology Department of Electrical Engineering Lahore Pakistan South China University of Technology School of Electric Power Guangzhou China Tianjin University School of Electrical and Electronic Information Control Engineering Tianjin China Wuhan University School of Electrical Engineering and Automation Wuhan China

ISBN: (纸本)9781665462099

Energy is essential for a country's economic sector to be stable and prospering, but unfortunately, Pakistan's energy crisis is the country's biggest roadblock to increasing its economy. Industries need a constant supply;even minor supply delays can cost businesses millions of dollars. The primary reason for load shedding in Pakistan is the country's reliance on costly fossil fuels, whose prices are volatile and continue to increase. Pakistan has great potential for Renewable Energy Sources (RESs) such as wind, solar, micro-hydro/canal fall, biomass, biogas, tidal/ocean, geothermal, and biodiesel. This study aims to contribute to ongoing research on hybrid grid-connected systems by highlighting the optimal modeling and sizing and considering numerous techno-economic aspects such as system stability, capacity shortage constraint, Battery State of Charge (SoC), Photovoltaic (PV) power production, Net Present Cost (NPC), and PV array monitoring systems. The Hybrid Optimization Model for Electric Renewables (HOMER) software is used to analyze the six different scenarios employing the techno-economic factors, sensitivity analysis, and environmental consequences. The proposed system shows a significant decrease in energy costs and environmental emissions. © 2022 IEEE.

关键词： Sensitivity analysis

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Dynamic J-A Hysteresis Model Correction of Iron Core Components and EMTP program Implementation

Dynamic J-A Hysteresis Model Correction of Iron Core Compone...

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International Conference on Electric Power Equipment - Switching Technology (ICEPE-ST)

作者： Xi Chen Li'an Chen School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China

ISBN: (数字)9798350388947

ISBN: (纸本)9798350388954

Despite Jiles-Atherton (J-A) hysteresis theory has been widely used in the analysis of magnetic properties of iron core components in electric power equipment, the transient modeling of switching device considering hysteresis characteristics remains more challenging given that most electromagnetic transient simulation software lacks a practical dynamic J-A hysteresis inductor model. A J-A hysteresis inductor model considering the iron core's dynamic loss was developed with the Electromagnetic Transients program-Alternative Transients program (EMTPATP) in this study. The classical J-A hysteresis theory was first modified from the perspective of energy conservation equation. Then, the differential equations of the J-A hysteresis model considering dynamic loss were derived according to the field separation and statistical theory of losses, and the final J-A model parameters were determined by particle swarm optimization (PSO) algorithm. The modified dynamic J-A hysteresis model was programmed by Model Language using the Type-94 component in EMTP-ATP, thereby obtaining a dynamic J-A hysteresis inductor model that can be used for electromagnetic transient simulation. The proposed model was verified by sinusoidal excitation test and harmonic excitation simulation. The results show that the excitation simulation outcomes of the dynamic J-A hysteresis inductor model were well fit in the measured data, and it could work stably under harmonic excitation condition, which verifies the feasibility of this model.

关键词： EMTP Magnetic cores Heuristic algorithms Magnetic hysteresis Harmonic analysis Mathematical models Iron Inductors Transient analysis Integrated circuit modeling

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Heterogeneous Mean Field Social control: The Multiplicative Noise Case

Heterogeneous Mean Field Social Control: The Multiplicative ...

引用

Asian control Conference

作者： Yong Liang Bing-Chang Wang Huanshui Zhang School of Control Science and Engineering Shandong University Jinan China College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China

ISBN: (数字)9789887581598

ISBN: (纸本)9798331540845

The linear quadratic mean field social control problem with heterogeneous agents and multiplicative noise is studied in this paper. The direct approach is adopted to design the decentralized controller for this large-population system. The heterogeneous agents are classified into different disjoint cluster, where the agents in a same cluster are homogeneous with identical dynamics and cost function. Agents are coupled with each other through the global cluster mean field term which is the stack of average state of agents in each cluster. First, under the centralized information pattern, we use variational analysis to obtain the necessary and sufficient conditions for the existence of optimal centralized open-loop controller characterized by a system of forward-backward stochastic differential equations (FBSDEs). Next, we decouple the high-dimensional FBSDEs with two coupled low-dimensional Riccati equations to obtain the optimal centralized feedback controller. Finally, under the decentralized information pattern, an asymptotically optimal decentralized controller is design by using the mean field approximations.

关键词： Couplings Sufficient conditions Noise Riccati equations Differential equations Cost function control systems

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Ferromagnetic Resonance Fault Identification of 10kV Electromagnetic Voltage Transformer

Ferromagnetic Resonance Fault Identification of 10kV Electro...

引用

International Conference on Electric Power Equipment - Switching Technology (ICEPE-ST)

作者： Ji Gao Li'an Chen Mengxue Guan School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China

ISBN: (数字)9798350388947

ISBN: (纸本)9798350388954

With the increasing development of power grids, the problem of ferroresonance in neutral-point non-grounded power distribution systems is becoming more and more serious. Due to the close similarities in characteristics between single-phase grounding fault overvoltage and ferroresonance overvoltage, in order to correctly diagnose the type of overvoltage, firstly, the simulation model was built by PSCAD to obtain the simulation waveform of different faults. Then, the resonance overvoltage fault feature extraction method based on VMD was constructed by MATLAB. Finally, by comparing the influence of the number of input layer nodes and the number of hidden layer neurons on the BP neural network, the BP neural network was optimized by MATLAB to achieve the identification of ferroresonance and normal working, grounding fault states, and provide a reliable judgment standard for the action of protection devices.

关键词： Fault diagnosis Grounding Neurons Voltage Feature extraction Ferroresonance Object recognition Voltage control MATLAB Biological neural networks

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loT-enabled Rapid Global Maximum Power Point Tracking for Multiple Photovoltaic Inverters

loT-enabled Rapid Global Maximum Power Point Tracking for Mu...

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IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG)

作者： Kangjia Zhou Feng Gao Caiyun Qin Xiangjian Meng School of Electrical Engineering Shandong University Jinan China School of Control Science and Engineering Shandong University Jinan China College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China

ISBN: (数字)9798350361001

ISBN: (纸本)9798350361018

Maximum power point tracking (MPPT) is a crucial technology for enhancing photovoltaic (PV) array power generation efficiency. Under scenarios with partial shading, the output power characteristic curve of a PV array often displays multiple peaks, necessitating the use of global peak-seeking techniques. Particle Swarm Optimization (PSO) and its advanced variants have been widely adopted to address global optimization challenges. However, the current landscape primarily includes PSO based MPPT methods designed for single inverters, which tend to exhibit slow optimization speeds. This paper presents an Internet of Things (IoT)-based multi- inverters approach for global MPPT. In this approach, all inverters within the network are treated as a single particle. This transformation shifts the conventional serial PSO operation into a parallel one, enabling data exchange among inverters to jointly track the maximum power point. Simulation results demonstrate that the proposed methodology significantly accelerates the optimization process, effectively mitigating the limitations of traditional approaches.

关键词： Maximum power point trackers Photovoltaic systems Accuracy Simulation Inverters Distributed power generation Internet of Things

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Analysis of Temperature Fields of a 10kV Electromagnetic PT Under Ferroresonance

Analysis of Temperature Fields of a 10kV Electromagnetic PT ...

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International Conference on Electric Power Equipment - Switching Technology (ICEPE-ST)

作者： Zhiwei Wu Li'an Chen Mengqian Guo School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China

ISBN: (数字)9798350388947

ISBN: (纸本)9798350388954

Electromagnetic potential transformer(PT) may undergo ferroresonance when subjected to external disturbances, which causes overvoltage and affects the stable operation of the power system. In order to provide reference advice for the installation and monitoring of the sensor, the temperature field of 10kV electromagnetic PT was simulated by utilizing the finite element method. In this paper, after establishing a three-dimensional model, joule loss, eddy current loss and hysteresis loss were calculated as heat sources, and then the temperature field distribution was simulated. Subsequently, the differences before and after the ferroresonance were compared to analyse the influence of the ferro resonance and inferred the location where the abnormal temperature rise occurs. The simulation results showed that the highest temperature of the shell is located at the side closest to the heat source, where the epoxy resin is the thinnest and most sensitive to temperature changes. Therefore, the temperature sensor should be mounted at this location, where the abnormal temperature rise can be detected quickly. This study not only will provide suggestions for the installation and monitoring of sensors, but also will lay a foundation for the realization of the “self-healing” function of the robust smart grid, and improve the reliability and security of the grid operation.

关键词： Temperature sensors Temperature measurement Heating systems Temperature distribution Ferroresonance Smart grids Reliability Electromagnetics Voltage control Monitoring

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A Collision-Free Pedestrian-Following System for Mobile Robots Base on Path Planning 20

A Collision-Free Pedestrian-Following System for Mobile Robo...

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20th IEEE International Conference on Mechatronics and automation, ICMA 2023

作者： Zhang, Hong Wang, Songyan Huo, Ju Chao, Tao Harbin Institute of Technology Control and Simulation Center 92 Xidazhi Street Harbin150080 China Harbin Institute of Technology School of Electrical Engineering and Automation 92 Xidazhi Street Harbin150080 China

ISBN: (纸本)9798350320831

In order to overcome the problems of collision avoidance and the pedestrian target loss in pedestrian-following system. This paper proposes a Collision-Free pedestrian following approach with a multi-sensor fusion-based pedestrian detector module and a path planning module. The pedestrian detector module use extended Kalman filter(EKF) to fuse a camera and a 3D LiDAR data for the target pedestrian positioning and perceive *** the path planning module, In order to track pedestrians in real time and collision-free, a global path planner and a local path planner will work simultaneously. Overall, we conducted experiments on pedestrian following in different environmental conditions to evaluate the performance of ours proposed approach. © 2023 IEEE.

关键词： Extended Kalman filters

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