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3rd international conference on Machine Learning and Computer Application, ICMLCA 2022

作者： Chen, Xiaohong Wang, Sen Chen, Nan Zhan, Zhenhua Qu, Haoming Wang, Wenshuo Xu, Yunchuan Sun, Bo Ma, Shiyi College of Automation Shenyang Institute of Engineering Liaoning Shenyang110136 China

ISBN: (纸本)9781510664814

In order to achieve high efficiency and energy saving electromechanical integration zero transmission structure, a permanent magnet synchronous motor using an external rotor is adopted (PMSM) direct drive mode of coal mine belt conveyor. Through the research and analysis of the special application environment and control strategy of this kind of motor, vector control strategy method based on active disturbance rejection technology and sensorless control is adopted. To improve the speed regulation performance of belt conveyor when the load frequency *** modeling and simulation analysis The improved sliding mode observer can effectively improve the accuracy of rotor position estimation and tracking performance, the effectiveness of the algorithm is verified. © 2023 SPIE.

关键词： Belt conveyors

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The influence of current in off-grid PV systems on lead-acid battery lifetime and hybridization with LFP battery as solution

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ENERGY REPORTS 2023年 9卷 766-773页

作者： Wieczorek, Maciej Wodyk, Sebastian Poliszkiewicz, Rafal Witaszek, Pawel Warsaw Univ Technol Elect Power Engn Inst Fac Elect Engn Koszykowa 75 PL-00662 Warsaw Poland Warsaw Univ Technol Inst Control & Ind Elect Fac Elect Engn Koszykowa 75 PL-00662 Warsaw Poland Breeze Energies Sp Zoo Wielkanocna 6-39 PL-19300 Elk Poland

This paper describes test results of two sets of VRLA GEL batteries that included various phenomena which might accelerate their degradation process in off-grid PV systems like: incomplete charges (bad recharges), low start current and remaining in partially discharge state. The test shown in the paper included two cycling experiments lasting 45 days and 98 days during which the batteries where constantly charged and discharged in different cycles. The results show strong acceleration of degradation process for incomplete charges (bad recharges) which are specifically difficult to avoid in off-grid systems. In order to avoid the premature destruction of lead-acid battery in off-grid PV systems the hybrid battery system consisting of lithium-iron-phosphate and lead-acid batteries connected with DC/DC converter is proposed. & COPY;2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://***/licenses/by/4.0/).

关键词： Hybrid battery Battery ageing Off-grid PV system Lead-acid battery Lithium-ion battery

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Enhancement of Standalone PMSG Wind Turbine System Utilizing Nonlinear Proportional-Integral control Technique 1

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3rd international conference on Electronic engineering and Renewable Energy, ICEERE 2022

作者： Elgharib, Ahmed Omar Benzaouia, Soufyane Naamane, Aziz Aix Marseille University Université de Toulon CNRS LIS Marseille France Arab Academy for Science Technology and Maritime Transport Giza Egypt

ISBN: (数字)9789811962233

ISBN: (纸本)9789811962226

This paper studies the control of a wind turbine connected system using permanent magnet synchronous generator (PMSG) driven by a wind turbine and how to achieve the maximum power point tracking (MPPT) using nonlinear proportional-integral controller (NPIC), and also, such a controller permits the PMSG to operate at an optimal speed and high efficiency, especially by utilizing PMSG. This wind turbine is connected to the load by means of controlled rectifier. The controlled rectifier is used for transferring power to the load. A variable wind speed profile is used in such a system. This paper shows the dynamic performance of the complete system using Matlab Simulink. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Wind turbines

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Research on the control Method of Anti-vibration Hammer Fastening Robot Operation for High-voltage Transmission Lines 3

Research on the Control Method of Anti-vibration Hammer Fast...

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2023 3rd international conference on Artificial Intelligence and Industrial Technology Applications, AIITA 2023

作者： Wu, Wenjie Wang, Xuhong College of Electricity and Information Engineering Changsha University of Science & Technology Changsha410114 China

The problem of low efficiency and high danger is addressed by mainly relying on the manual tightening of the anti-vibration hammer. A transmission line anti-vibration hammer fastening robot is designed, and its operation control method is focused on the study. Firstly, we use the visual YOLOV-5 algorithm to detect the anti-vibration hammer in real time to achieve rough positioning and then cooperate with the depth camera to obtain the accurate 3D coordinates of the anti-vibration hammer bolts. After obtaining the position of the anti-vibration hammer bolt, a fuzzy PID controller is used to control the robot's operation motion to ensure the stability and accuracy of the operation. Finally, the tightening experiment of the anti-vibration hammer under the transmission line verifies that the proposed operation control method can meet the requirements of efficiency and reliable tightening of the anti-vibration hammer. © Published under licence by IOP Publishing Ltd.

关键词： Hammers

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A hybrid prediction approach for enhancing heat transfer efficiency of coal-fired power plant boiler

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ENERGY REPORTS 2023年 9卷 658-668页

作者： Shi, Yuanhao Han, Tianxiang Cui, Fangshu Wen, Jie Jia, Jianfang Pang, Xiaoqiong North Univ China Sch Elect & Control Engn Taiyuan 030051 Peoples R China North Univ China Sch Data Sci & Technol Taiyuan 030051 Peoples R China

Predicting future fouling status is a crucial but tough topic in the applications of energy conservation and pollution reduction at coal-fired power plants because of the significant influence that ash slag has on the heat transfer efficiency of boilers in coal-fired power plants. For the prediction of gray areas in heated areas, a hybrid system based on complementary ensemble empirical modal decomposition, gray models, and long short-term memory networks is presented. This is because the time series of ash pollution degrees is not linear and not smooth. Initially, using a complementary ensemble empirical modal decomposition, the original sequence after wavelet threshold denoising is divided into a number of subseries components. The projected values for the cleanliness factor were then generated by superimposing the predictions from the IMF and residual components. The experimental findings support the model's precision and dependability and demonstrate that the CEEMD-GM-LSTM model does, in fact, perform very well in forecasting the ash situation in the heated zone.(c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://***/licenses/by/4.0/).

关键词： Coal-fired power plant boiler Heat transfer efficiency Ash fouling prediction Cleanliness factor Long short-term memory

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Research on sectional constant slip control of linear induction motor based on parameter self-tuning

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ENERGY REPORTS 2023年 9卷 979-989页

作者： Hu, Hailin Zhong, Jingping Chen, Yuhui Ge, Qiongxuan Wang, Tao Jiangxi Univ Sci & Technol Sch Elect Engn & Automat Ganzhou 341000 Peoples R China Jiangxi Univ Sci & Technol Jiangxi Prov Key Lab Maglev Technol Ganzhou 341000 Peoples R China Jiangxi Permanent Magnet Maglev Technol Co Ltd Xingguo 342400 Peoples R China Chinese Acad Sci Ganjiang Innovat Acad Ganzhou 341000 Peoples R China Chinese Acad Sci Inst Elect Engn Beijing 100080 Peoples R China

Linear induction motor (LIM) has the advantages of low noise, strong climbing ability and small turning radius. It is widely used in middle-low speed maglev traffic. However, in actual operation, the linear motor will weaken the thrust output due to the existence of the end effect which will lead to the reduction of the traction efficiency. At the same time, the fluctuation of normal force will disturb the suspension system and affect its suspension stability. To solve the above problems, this paper first establishes a LIM dynamic model considering the end effect, and proposes constant slip frequency vector control. According to the different requirements of normal force and thrust of the train in constant power and force area, the sectional constant slip control is carried out. Then an improved particle swarm optimization (IPSO) is introduced to optimize slip frequency at two stages to reduce the theoretically solved error of optimal slip frequency. Finally, the proposed algorithm is simulated and hardware-in-the-loop tests are carried out;The experimental results show that the proposed algorithm and improvements can meet the requirements of full speed thrust output and normal force of the train. It provides a certain reference value for traction control of the linear motor in middle-low speed maglev train. (c) 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CCBY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Linear induction motor Constant slip frequency vector control Sectional constant slip control Improved particle swarm optimization

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Adaptive robust unit commitment with renewable integration: An extreme scenarios driven model

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ENERGY REPORTS 2023年 9卷 1032-1040页

作者： Lu, Wen Yan, Xinhua Ding, Qia Liu, Qi Cao, Rongzhang Jiang, Zhengting NARI Grp Corp State Key Lab Smart Grid Protect & Control Nanjing 211000 Peoples R China NARI Grp Corp State Grid Elect Power Res Inst Nanjing 211000 Peoples R China Xi An Jiao Tong Univ Sch Elect Engn Xian 710049 Peoples R China

As the penetration rate of renewable energy continues to increase, the uncertainty problem brought by it is becoming more and more serious. Robust optimization is widely used in the process of unit combination as a method of dealing with uncertainty. However, traditional uncertainty coping method, two-stage robust optimization unit commitment, has problems of nonanticipativity and all-scenario feasibility. For this reason, this paper improves the traditional two-stage robust optimization model. The extreme scenarios are first generated from the vertex scenarios of the polyhedron uncertainty set. According to the generated extreme scenarios set, the two-stage robust optimization is transformed into a stochastic programming simultaneously. Finally, this paper incorporates all-scenario-feasibility and nonanticipativity constraints into the model and an example is designed to verify the validity of the model. The results show that the designed model can meet the requirements of all-scenario-feasibility and nonanticipativity. (c) 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CCBY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Robust optimization Unit commitment Extreme scenarios All-scenario-feasibility Nonanticipativity

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Disturbance Observer-Based H∞control for Flexible Spacecraft Systems Under Deception Attacks

Disturbance Observer-Based H∞Control for Flexible Spacecraf...

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robotics, Automation and Intelligent control (ICRAIC), international conference on

作者： Boming Chen Zipeng Wang Faculty of Information Technology Beijing Laboratory of Smart Environmental Protection Beijing Institute of Artificial Intelligence Beijing University of Technology Beijing China

A disturbance observer-based $H_{\infty}$ composite control method under disturbances and deception attacks is addressed in this paper. Firstly, the control model is constructed. Secondly, a disturbance observer-based $H_{\infty}$ composite controller via linear matrix inequality (LMI) is developed based on a Lyapunov function. Finally, we present simulations to verify the validity of design method.

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Arduino-based Omnidirectional Mobile Intelligent Vehicle control System

Arduino-based Omnidirectional Mobile Intelligent Vehicle Con...

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robotics, Automation and Intelligent control (ICRAIC), international conference on

作者： Dandan Zhang Yinan Xu Hao Li Yujing Wu Yanbian University Yanbian China

In order to solve the problems of road traffic congestion and poor autonomous movement in a narrow space, this paper develops a set of omnidirectional mobile intelligent vehicle control system based on Arduino and using Mecanum wheel. The system allows the vehicle to move autonomously in a narrow space, with intelligent obstacle avoidance, steering and U-turn functions. We used the assembled cart to write the corresponding program and debugged the control parameters of some motors and servos to improve the various tasks of the cart.

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3rd international conference on Autonomous Unmanned Systems, ICAUS 2023

3rd International Conference on Autonomous Unmanned Systems,...

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3rd international conference on Autonomous Unmanned Systems, ICAUS 2023

ISBN: (纸本)9789819710867

The proceedings contain 93 papers. The special focus in this conference is on Autonomous Unmanned Systems. The topics include: Multi-UAV Collaborative Search Strategy Based on Improved Genetic Algorithm;Joint Beamforming and Power Allocation in a MIMO Radar Network with Per-antenna Power control;intelligent Trajectory Planning Algorithm for Unmanned Aerial Vehicles Based on Track Deception Against Radar Networks;Maneuvering Multi-target Tracking Based on DLSTM and Dynamic Association Gate;A DNN-Based GLMB Algorithm for Multi-sensor Multi-target Tracking with Dense Group Clutter;efficient Multiple Extended Target Tracking Based on Minimum Spanning Tree;improved Adaptive Sliding Mode Cooperative Guidance Law with Multi-constraints;a Cooperative Guidance Law with Multi-constraints for Intercepting Maneuvering Target;alleviating Local Optima and Enhancing Path Planning: A Deep Reinforcement Learning Approach for Autonomous Exploration;Research on Target Tracking Algorithm Between UAVs in Unknown Environment;a Maneuver Detection-Range Parameterized Cubature Kalman Filter for Bearings-Only Maneuvering Target Tracking;improvement of Ensemble Kalman Filter for Hypersonic Target Tracking;anti-bias Target Association Method Based on Laplacian Spectrum and Kuhn-Munkres Algorithm;Fully Automated UAV Cluster Pollution Source Detection Algorithm;Status and Application of Artificial Intelligence-Based Cooperative Positioning and Navigation Technology for UAV Clusters;a Fusion Method with Information Gains for Distributed Multi-sensor Network;space Targets Tracking Algorithm Based on Improved State Equation with Universal Variable Updating;Multi-UAV Target Localization Based on 3D Object Detection and Visual Fusion;Real-World Experiments on Acoustic Detection of Small UAVs;relative Localization of Vehicle-to-Drone Coordination Based on Lidar;P-LVIO: A Plane-Based Lidar Visual Inertial Odometry in Urban Environments;a New Threat Assessment Method for Airborne Targets Based on Dynami

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