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2024 International Conference on Industrial engineering, Applications and Manufacturing, ICIEAM 2024

作者： Efanov, Dmitrii V. Ruziev, Davron Kh. Khóroshev, Valerii V. Transport Higher School Of Mechanical Engineering Material And Transport Institute In Peter The Great St. Petersburg Polytechnic University St. Petersburg Russia Tashkent State Transport University 'Automation And Remote Control' Department Tashkent Uzbekistan Russian University Of Transport 'Automation Remote Control And Communication On Railway Transport' Department Moscow Russia 'Automation Remote Control And Communication On Railway Transport' Department Moscow Russia

ISBN: (纸本)9798350395013

Article propose a hybrid technology of power supply in the electrical interlocking systems development for railway stations. The main feed input is proposed to be carried out from renewable energy sources. Such sources are near the railway track. Redundant power supply should be provided using traditional cable networks with local placement. The article presents the structures of electrical interlocking systems based on hybrid technology. In addition, when supplying power to railway automation and remote control, the power supply must be guaranteed. That is why, at this stage of the transition, it is necessary to maintain redundant cable glands. In the future, a complete transition to energy supply from renewable energy sources is proposed. The authors considered the use of energy sources with solar panels. The following solutions are proposed for organizing the power supply of railway automation and remote-control devices: providing power supply in the yard neck with local power sources - solar panels, linking between wayside device and the signal box using fiber optic cables and radio channels. The main attention is paid to the environmentally friendly energy sources, the wire routing shorts and maintenance. © 2024 IEEE.

关键词： Energy efficiency

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Trajectory Prediction Method with Map Nodes Search for Intelligent Vehicles

Trajectory Prediction Method with Map Nodes Search for Intel...

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2023 China Automation Congress, CAC 2023

作者： Li, Jialin Meng, Qingyu Liu, Yanran Guo, Hongyan Li, Shoutao Lv, Ying Jilin University State Key Laboratory of Automotive Simulation and Control The College of Communication Engineering Changchun China The College of Communication Engineering Jilin University Changchun China Intelligent Connected Vehicle Development Institute China FAW Group Co.LTD Changchun China

ISBN: (纸本)9798350303759

Accurately inferring the future motion of neighboring vehicles is an indispensable capability for safe driving of intelligent vehicles. High-definition (HD) maps containing scene constraint information can dramatically improve the performance of trajectory prediction methods. In this paper, a prediction method via map nodes search is proposed to precisely predict the future movement of vehicles. The travelable path search strategy is proposed to search for travelable map nodes in a map that incorporates traffic flow information after graph attention (GAT) aggregation, and the set of map nodes obtained from the search is employed to guide the generation of predicted trajectories. In addition, the designed goal node search mechanism finds the goal node based on map nodes and considers it as a reference for the end point of the vehicle's future movement. Experimental results on nuScenes dataset illustrate that our prediction method is superior to baseline methods. Moreover, the map nodes search strategy can greatly improve the trajectory prediction accuracy and ensure the rationality of the predicted trajectory. © 2023 IEEE.

关键词： Vehicles

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Semi-asynchronous personalized federated learning for short-term photovoltaic power forecasting

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Digital communications and Networks 2023年第5期9卷 1221-1229页

作者： Weishan Zhang Xiao Chen Ke He Leiming Chen Liang Xu Xiao Wang Su Yang College of Computer Science and Technology China University of Petroleum(East China)China Sichuan Energy Internet Research Institute Tsinghua UniversityChina School of Computer and Communication Engineering Beijing University of Science and TechnologyChina State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijingChina School of Computer Science Fudan UniversityChina

Accurate forecasting for photovoltaic power generation is one of the key enablers for the integration of solar photovoltaic systems into power *** deep-learning-based methods can perform well if there are sufficient training data and enough computational ***,there are challenges in building models through centralized shared data due to data privacy concerns and industry *** learning is a new distributed machine learning approach which enables training models across edge devices while data reside *** this paper,we propose an efficient semi-asynchronous federated learning framework for short-term solar power forecasting and evaluate the framework performance using a CNN-LSTM *** design a personalization technique and a semi-asynchronous aggregation strategy to improve the efficiency of the proposed federated forecasting *** evaluations using a real-world dataset demonstrate that the federated models can achieve significantly higher forecasting performance than fully local models while protecting data privacy,and the proposed semi-asynchronous aggregation and the personalization technique can make the forecasting framework more robust in real-world scenarios.

关键词： Photovoltaic power forecasting Federated learning Edge computing CNN-LSTM

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Performance Analysis of A Missile Guidance and control System Model for Precise Target Tracking 3

Performance Analysis of A Missile Guidance and Control Syste...

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3rd IEEE World Conference on Applied Intelligence and Computing, AIC 2024

作者： Bhattacharjee, Rituraj Mukherjee, Subhradip Manipal Institute of Technology Manipal Academy of Higher Education Department of Instrumentation & Control Engineerig Udupi-Karkala Road Karnataka Manipal576104 India Mvj College of Engineering Electronics and Communication Department Bangalore India

ISBN: (纸本)9798350384598

A missile navigation system model is developed and analyzed in this work. The flight command structure is a crucial component which improves the efficiency of the system. It has a major impact on both the accuracy of the strike and precise control over the missile's performance. The goal of the flight command structure is to instruct the missile to follow the steering directive produced by the control system. The system's representation is determined by how well it establishes the flying course required to intercept the target and sends the commands to the attitude control system required to keep the missile on course while taking the airframe's dynamics and relevant aerodynamic characteristics into account. The missile is guided to attack the target after it has been tracked, and its trajectory is determined by the homing guidance loop utilizing the PID controller-based autopilot mode. In the MATLAB simulation environment, dynamic performance of the missile guidance system is simulated using a step response technique based on time. © 2024 IEEE.

关键词： MATLAB

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Thermal Management of Open-cathode PEMFC based on NMPC and EKF

Thermal Management of Open-cathode PEMFC based on NMPC and E...

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2024 China Automation Congress, CAC 2024

作者： Huang, Xu Su, Hongye Cao, Bin Zhu, Yang Ningbo Innovation Center Zhejiang University Ningbo China Polytechnic Institute Zhejiang University Hangzhou China College of Control Science and Engineering Zhejiang University Hangzhou China College of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9798350368604

The purpose of this study is to design a thermal management algorithm for open-cathode proton exchange membrane fuel cell (PEMFC). A nonlinear model predictive control (NMPC) method is proposed for controlling the duty cycles of cooling fans. The electrochemical and thermal models of the open-cathode PEMFC are initially constructed. A further nonlinear control model is then developed based on the simplified fuel cell model. The system state variables are subsequently observed using the extended Kalman filter (EKF) method which are used as state inputs of NMPC. Finally, the fuel cell model, NMPC and EKF are constructed based on SIMULINK, and three simulations are conducted to assess the control effect. These simulations involved tracking constant temperature under constant current, tracking constant temperature under dynamic current, and tracking dynamic temperature under constant current, respectively. The results demonstrated that the control effect is superior to that of the PID algorithm in terms of tracking accuracy, response speed and robustness. © 2024 IEEE.

关键词： Extended Kalman filters

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AUV Underwater Docking Guidance Method Based on Rotating Current Field

AUV Underwater Docking Guidance Method Based on Rotating Cur...

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2024 OES China Ocean Acoustics, COA 2024

作者： Liu, Jiahui Wang, Zuoshuai Yang, Wentie Liu, Lanyi Xu, Yidong Harbin Engineering University College of Information and Communication Engineering Harbin China Wuhan Second Ship Design and Research Institute Hubei Key Laboratory of Marine Electromagnetic Detection and Control Wuhan China Hygon Information Technology Co. Ltd. Wuhan China Yantai Research Institute of Harbin Engineering University Yantai China

ISBN: (纸本)9798350340297

Autonomous underwater vehicles (AUV) have been increasingly employed in marine resource exploration and development tasks;however, maintaining of long-term operations requires energy supplementation, which mandates docking with platforms. To address the challenges of AUV docking in intricate oceanic environments, this study proposes a novel docking guidance solution, grounded in the rotating current field mechanism. This approach employs multiple pairs of dipoles to transmit fixed phase difference signals, thereby creating a stable and uniform low-frequency current field region. Furthermore, based on the signal amplitude and phase characteristics relative to position, this paper introduces three AUV docking guidance methods able to achieve precise positioning and expedite the docking process. Experimental findings demonstrate that the proposed docking guidance method offers notable advantages in terms of positioning accuracy and feasibility of implementation, thus presenting a novel technical avenue for AUV underwater docking guidance. © 2024 IEEE.

关键词： Marine navigation

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Underwater Electric Dipole Source Localization Based on Hybrid Particle Swarm Optimization-Gravitational Search Algorithm

Underwater Electric Dipole Source Localization Based on Hybr...

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2024 OES China Ocean Acoustics, COA 2024

作者： Liu, Jiahui Yang, Wentie Wang, Zuoshuai Chen, Jiong Xu, Yidong College of Information and Communication Engineering Harbin Engineering University Harbin China Wuhan Second Ship Design and Research Institute Hubei Key Laboratory of Marine Electromagnetic Detection and Control Wuhan China SiEngine Technology Co. Ltd. Wuhan China Yantai Research Institute of Harbin Engineering University Yantai China

ISBN: (纸本)9798350340297

The localization process of the underwater electric dipole source involves solving the global optimal solution of a nonlinear function, which necessitates a multidimensional search and remarkable computational resources. Challenges including slow solution speed and the risk of missing the global optimal solution also exist. To address these challenges, in this study, a global search and localization method based on normalized electric field amplitude, which simultaneously matches and solves the target source position and dipole moment, is proposed. Moreover, the particle swarm optimization (PSO) algorithm is integrated with the gravitational search (GSA) algorithm to propose the improved time-varying inertia-weighted PSO and GSA hybrid optimization algorithm (TVIW-PSO-GSA), enabling rapid optimization and solution of underwater electric dipole source localization. The proposed algorithm exhibits strong convergence capabilities while ensuring local search accuracy. The simulation results reveal that the proposed algorithm achieves faster convergence speed and more accurate estimation performance when compared with traditional optimization algorithms. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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Image-denoising algorithm based on improved K-singular value decomposition and atom optimization

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CAAI Transactions on Intelligence Technology 2022年第1期7卷 117-127页

作者： Rui Chen Dong Pu Ying Tong Minghu Wu College of Information&Communication Engineering Nanjing Institute of TechnologyNanjingChina College of Electric Power Engineering Nanjing Institute of TechnologyNanjingChina Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System Hubei University of technologyWuhanChina

The traditional K-singular value decomposition(K-SVD)algorithm has poor imagedenoising performance under strong *** image-denoising algorithm is proposed based on improved K-SVD and dictionary atom ***,a correlation coefficient-matching criterion is used to obtain a sparser representation of the image *** dictionary noise atom is detected according to structural complexity and noise intensity and removed to optimize the ***,non-local regularity is incorporated into the denoising model to further improve image-denoising *** of the simulated dictionary recovery problem and application on a transmission line dataset show that the proposed algorithm improves the smoothness of homogeneous regions while retaining details such as texture and edge.

关键词： singular value smoothness

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The Preparation Method, Resistive Switching Mechanism and Application Prospects of Memristor 7

The Preparation Method, Resistive Switching Mechanism and Ap...

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7th International Conference on Electrical, Mechanical and Computer engineering, ICEMCE 2023

作者： Li, Jiao Zhao, Ximei Lei, Tengfei Chai, Lin Wang, Shi Yu, Yuna Collaborative Innovation Center of Memristive and Computing Application Qilu Institute of Technology Jinan250200 China School of Intelligent Manufacturing and Control Engineering Qilu Institute of Technology Jinan250200 China College of Computer and Communication Engineering Qilu Institute of Technology Jinan250200 China

ISBN: (纸本)9798350382877

Memristors have also become one of the most promising research hotspots for solving data storage and computing problems faced in the big data era. As an emerging electronic device, memristor has potentially important applications in information storage and processing. This paper constructs a rod-shaped TiO2-x nanoscale memristor with FTO/TiO2-x/Cu structure, whose reliability is based on the memory behavior and its conversion mechanism. Research progress including materials, preparation methods, resistive switching mechanism and application prospects are described. First, the constituent materials of memristor are introduced, focusing on metal oxides and organic materials such as titanium oxide (TiO2). The choice of these materials is critical to memristor performance and applications. Secondly, the advantages and limitations of the preparation methods are discussed. Then the resistance switching mechanism of memristor was studied in depth, focusing on the generation principle and adjustment mechanism of memristor effect. These include important concepts such as charge migration, Schottky barrier formation and oxygen vacancy drift, which help to understand the electrical properties of memristors. In addition, we explore the prospects of memristors in practical applications. Finally, past and current work in this field is summarized, and the prospects and challenges of memristorrelated research are prospected. © 2023 IEEE.

关键词： Memristors

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Intelligent vehicle path tracking based on feedback linearization and LQR under extreme conditions 41

Intelligent vehicle path tracking based on feedback lineariz...

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第41届中国控制会议

作者： Yi Sun Qikun Dai Jun Liu Xu Zhao Hongyan Guo College of Communication Engineering Jilin University The State Key Laboratory of Automotive Simulation and Control Jilin University The Department of Aviation Electrical Engineering Jilin Institute of Chemical Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

It proposes a path following control strategy for intelligent vehicles under extreme conditions based on feedback linearization and linear quadratic regulator(LQR).Firstly,the vehicle dynamics model and the vehicle kinematics model are established,and the affine nonlinear vehicle system model under the extreme condition is established by these two ***,the complex nonlinear vehicle system model is linearized using the feedback linearization method to obtain a simpler linear system ***,according to the obtained linear vehicle system model,the LQR method is used to design the tracking controller to obtain the optimal control input,so as to ensure the stability of the system and the optimality of the target,and realize the intelligent vehicle path *** affirm the effectiveness of the tracking method,a series of Carsim/Simulink co-simulation experiments are carried *** results show that the effects of path tracking combined with feedback linearization and LQR are significantly better than the other two methods,thus the path tracking method proposed in the paper is effectively verified.

关键词： Feedback Linearization LQR Affine Nonlinear Vehicle System Model Extreme conditions Path Tracking

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