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Hydrodynamic and Static Stability Analysis of a Hybrid Offshore Wind-Wave Energy Generation: An Expansion of Semisubmersible Floating Wind Turbine Concept 15th

Hydrodynamic and Static Stability Analysis of a Hybrid Offsh...

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15th European Wave and Tidal Energy Conference, EWTEC 2023

作者： Aboutalebi, Payam Garrido, Aitor J. Garrido, Izaskun Nguyen, Dong Trong Gao, Zhen Department of Marine Technology Trondheim7491 Norway Automatic Control Group–ACG Institute of Research and Development of Processes–IIDP Department of Automatic Control and Systems Engineering Faculty of Engineering of Bilbao University of the Basque Country–UPV/EHU Spain School of Naval Architecture Ocean and Civil Engineering Shanghai Jiao Tong University Shanghai200240 China

Marine structures like Floating Wind Turbine (FWT) is exposed to the oncoming waves and wind that can cause oscillatory motions within the system. These undesired oscillations can have negative impacts on the efficiency of the system, reduce its lifespan, hinder energy extraction, increase stress levels, and raise maintenance costs. To mitigate these negative impacts, the integration of Wave Energy Converters (WECs) into the FWT system has been proposed. This hybrid system may be capable of extracting coupled wind-wave energy and transferring electrical power to the shared grid. This paper presents an investigation of the use of Oscillating Water Columns (OWCs), a type of WECs, within a FWT system. The purpose of using an OWC is to increase the hydrodynamic damping and reduce the resonant motions of the floating wind turbines under environmental loads, including both wind and wave loads. This is because the wave energy from OWC would be very small as compared to the wind energy. However, OWCs can provide a damping source for reducing the resonant motions of the floater, especially the pitch resonant motions. This would be very beneficial for the power performance of the floating w ind turbine and the structural design of the floater. T he p urpose of this paper is to redesign the original FWT platform to accommodate the additional OWCs by considering the hydrostatic stability and hydrodynamics since the new elements, the OWCs, can significantly change the response of the platform. The redesign of the original FWT involves the integration of OWCs within two out of three columns of an existing semisubmersible platform for a 12 MW FWT. To do this, two moonpools, which are consistent with OWC air chambers, have been created within two columns of the FWT. The water ballast was designed for the columns with and without OWCs. After that the redesign is done hydrostatic stability and hydrodynamics analyses are evaluated. The hydrodynamics properties are discussed in terms o

关键词： Tidal power

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Simulation Model of Hydraulic Feed System with Differential Cylinder 5

Simulation Model of Hydraulic Feed System with Differential ...

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5th International Conference on control systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2023

作者： Sandler, Ilya L Ivanov, Dmitriy V Terekhin, Michail A Kolpashchikov, Sergey A Vossin, Alexey V Portnov, Artem V Samara State University of Railway Transport Dept. Digital Technologies Samara Russia Samara State Technical University Dept. Automation and Control in Technical Systems Samara Russia National Research University Dept. Information Systems Security Samara Samara Russia FSBEI HE SamSMU MOH Russia Higher School of Medical Engineering Institute of Innovative Development Samara Russia FSBEI HE SamSMU MOH Russia Institute of Innovative Development Samara Russia

ISBN: (纸本)9798350309126

The paper presents a simulation model of a hydraulic feed system with a differential cylinder, which allows you to explore the system and visually examine its operation. During the simulation, transient processes were obtained at various points of the hydraulic control system. The simulation results show the adequate operation of the system under study. The work is of interest to researchers and engineers in the field of building automatic hydraulic drive control systems. Also, the results obtained can be used for educational purposes. © 2023 IEEE.

关键词： Machine tools

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Camera-LiDAR Jaywalking Detection in Traffic Surveillance System

Camera-LiDAR Jaywalking Detection in Traffic Surveillance Sy...

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IEEE/SICE International Symposium on System Integration

作者： Taek-Lim Kim Byung Jin Jang Joo Yeon Yeon Tae-Hyeong Kim Tae-Hyoung Park Dept. of Robot Control Eng Chungbuk National University Cheongju Republic of Korea Dept. of Intelligent Systems and Robotics Chungbuk National University Cheongju Republic of Korea Dept. of Research & Development Korea Intelligent Automotive Parts Promotion Institute (KIAPI) Daegu Republic of Korea

ISBN: (数字)9798331531614

ISBN: (纸本)9798331531621

Roadside sensors like cameras and LiDAR enhance pedestrian safety by providing comprehensive traffic data. While traditional traffic surveillance systems primarily focus on vehicle-related violations, such as signal violations and speeding, pedestrian jaywalking remains a significant cause of accidents. This paper presents a jaywalking detection method that fuses camera-based image segmentation with LiDAR ground segmentation to handle various conditions, including day and night. Our system addresses challenges such as poor lighting and vehicle occlusion by leveraging LiDAR’s robustness in unlearned environments. Road segmentation is enhanced by combining camera outputs with LiDAR ground data, refining road boundary detection for more accurate road area analysis. By integrating road segmentation and object tracking, the system reduces false negatives and improves jaywalking detection. Experimental results from real-road data validate its effectiveness, showing significant potential to enhance traffic surveillance.

关键词： Image segmentation Laser radar Pedestrians Roads Surveillance Transportation System integration Traffic control Cameras Sensors

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A Multi-Model Fusion Approach for Transformer Fault Detection 4

A Multi-Model Fusion Approach for Transformer Fault Detectio...

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4th IEEE International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2024

作者： Zhou, Ke Zhang, Wei Li, Ligang Pan, Shaoming Huang, Chengwei Electric Power Research Institute of Guangxi Power Grid CO. LTD. Guangxi Power Grid Equipment Monitoring and Diagnosis Technology Innovation Center Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Nanning530023 China Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang110016 China Chinese Academy of Sciences Key Laboratory of Networked Control Systems China Power Supply Bureau of Guangxi Hezhou Power Grid Co. Ltd. China

ISBN: (纸本)9798350363586

Addressing the weak generalization capability and suboptimal prediction performance of single mechanistic and data-driven models, this paper proposes a transformer fault detection method based on the fusion of mechanism and data models. Firstly, vibration and current data are collected on-site to train the SVM vibration model and the Adaboost current model. Secondly, current simulation data is obtained using laboratory simulation software. This simulation data, combined with the current data collected under the same conditions on-site, is used as input to train the GBDT error compensation model. Finally, these three models are used as inputs to the GRNN, completing the overall model design. This fusion of mechanistic and data-driven models not only addresses the parameter mismatch issue of the mechanistic model under complex working conditions but also deeply mines time-series data. Experimental results show that The mean squared error of the fusion model is 0.002 lower than that of the data model, and the coefficient of determination is improved by 5.07% compared to the mechanistic model, enhancing the overall predictive accuracy of the model. © 2024 IEEE.

关键词： Data accuracy

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Aircraft wing vibration parameters measurement system using MEMS IMUs and closed-loop optimal correction

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Aerospace systems 2022年第3期5卷 473-480页

作者： Maamo, M.S. Afonin, A.A. Sulakov, A.S. Department of Control Systems Informatics and Power Engineering Moscow Aviation Institute (National Research University) Volokolamskoe shosse 4 Moscow 125993 Russian Federation Faculty of Robotics and Mechatronics Moscow University for Industry and Finance «Synergy» Street Meshchanskaya 9/14 Moscow 129090 Russian Federation

Nowadays, there is still a need for the development of a high-precision measurement system for aircraft structural elements vibrations, this is due to the fact that many aviation problems are associated with analyzing vibration characteristics of aircraft mechanical structures during its main modes of operation, including flight, particularly the airplane wing health monitoring. This paper presents preliminary results of research carried out toward building a promising system designed to measure vibration parameters of airplane wing. Comparing it with the existing analogues systems, the proposed system features the use of approaches that are traditional for solving orientation and navigation problems for vibration measurements. The article discusses the principles of building such system based on micromechanical inertial measurements units, displacement sensors, on-board aircraft navigation system and sensor data fusion technology. The paper provides a brief overview of the existing solutions in this field of research, and substantiates the relevance and feasibility of the proposed technical solution. The paper presents the basic hardware components of the proposed system, presents the fundamentals of its operation based on the data collected from many sources, including displacement sensors, inertial units and the optimal Kalman estimation and correction algorithm. Besides, the paper presents the mathematical errors models of the system main components. The main algorithms of the system are shown, including algorithms for inertial measurements, estimation and correction in a closed-loop scheme for including optimal Kalman filter, and indirect calculations of vibration parameters. Finally, the initial simulation results of system operation are shown, demonstrating its operability and expected accuracy characteristics, which confirms the system effectiveness and the prospects of the chosen direction of research. © 2022, Shanghai Jiao Tong University.

关键词： Airplane wing Closed-loop optimal correction MEMS IMU Navigation and orientation Optimal Kalman filter Sensor data fusion Vibration measurement

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Accelerated Stochastic Peaceman–Rachford Method for Empirical Risk Minimization

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Journal of the Operations research Society of China 2023年第4期11卷 783-807页

作者： Jian-Chao Bai Feng-Miao Bian Xiao-Kai Chang Lin Du Research&Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen518057GuangdongChina School of Mathematics and Statistics Northwestern Polytechnical UniversityXi’an 710129ShaanxiChina Department of Mathematics The Hong Kong University of Science and TechnologyHong KongChina School of Science Lanzhou University of TechnologyLanzhou730050GansuChina School of Mathematics and Statistics the MIIT Key Laboratory of Dynamics and Control of Complex SystemsNorthwestern Polytechnical UniversityXi’an 710129ShaanxiChina

This work is devoted to studying an accelerated stochastic Peaceman–Rachford splitting method(AS-PRSM)for solving a family of structural empirical risk minimization *** objective function to be optimized is the sum of a possibly nonsmooth convex function and a finite sum of smooth convex component *** smooth subproblem in AS-PRSM is solved by a stochastic gradient method using variance reduction technique and accelerated techniques,while the possibly nonsmooth subproblem is solved by introducing an indefinite proximal term to transform its solution into a proximity *** a proper choice for the involved parameters,we show that AS-PRSM converges in a sublinear convergence rate measured by the function value residual and constraint violation in the sense of expectation and *** experiments on testing the popular graph-guided fused lasso problem in machine learning and the 3D CT reconstruction problem in medical image processing show that the proposed AS-PRSM is very efficient.

关键词： Empirical risk minimization Convex optimization Stochastic Peaceman-Rachford method Indefinite proximal term Complexity

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Principled preferential Bayesian optimization 24

Principled preferential Bayesian optimization

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Proceedings of the 41st International Conference on Machine Learning

作者： Wenjie Xu Wenbin Wang Yuning Jiang Bratislav Svetozarevic Colin N. Jones Automatic Control Laboratory EPFL Lausanne Switzerland and Urban Energy Systems Laboratory Empa Zurich Switzerland Automatic Control Laboratory EPFL Lausanne Switzerland Urban Energy Systems Laboratory Empa Zurich Switzerland and The Institute for Artificial Intelligence Research and Development of Serbia Serbia

We study the problem of preferential Bayesian optimization (BO), where we aim to optimize a black-box function with only preference feedback over a pair of candidate solutions. Inspired by the likelihood ratio idea, we construct a confidence set of the black-box function using only the preference feedback. An optimistic algorithm with an efficient computational method is then developed to solve the problem, which enjoys an information-theoretic bound on the total cumulative regret, a first-of-its-kind for preferential BO. This bound further allows us to design a scheme to report an estimated best solution, with a guaranteed convergence rate. Experimental results on sampled instances from Gaussian processes, standard test functions, and a thermal comfort optimization problem all show that our method stably achieves better or competitive performance as compared to the existing state-of-the-art heuristics, which, however, do not have theoretical guarantees on regret bounds or convergence.

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Consistent CoM Trajectory Generation for Biped Locomotion

Consistent CoM Trajectory Generation for Biped Locomotion

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International Conference on Signal Processing and Integrated Networks (SPIN)

作者： Kumod K. Sharma Sunil Nimje S. E. Talole Systems & Control Group Research & Development Estt (Engrs) Pune India Department of Mechanical Engineering Defence Institute of Advanced Technology Pune India

In bipedal robot locomotion, generation of Center of Mass (CoM) trajectory forms an essential component in gait pattern generation using approximate models. Towards this, rolling sphere model as an approximate model has been widely studied for biped walk. In this work, the rolling sphere model is used to generate realizable bipedal walk by improving an existing approach. In doing so, a consistent CoM trajectory is derived with a desirable Zero Moment Point (ZMP) making the resulting gait more practical. The efficacy of the formulation has been validated through simulation using parameters of humanoid robot NAO.

关键词： Legged locomotion Humanoid robots Signal processing control systems Trajectory Foot

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Small-Scale Testbed for Evaluating C-V2X Applications on 5G Cellular Networks

Small-Scale Testbed for Evaluating C-V2X Applications on 5G ...

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IEEE Symposium on Intelligent Vehicle

作者： Kaj Munhoz Arfvidsson Kleio Fragkedaki Frank J. Jiang Vandana Narri Hans-Cristian Lindh Karl H. Johansson Jonas Mårtensson Division of Decision and Control Systems EECS KTH Royal Institute of Technology Stockholm Sweden Integrated Transport Research Lab and Digital Futures Research and Development Scania CV AB Södertälje Sweden

ISBN: (数字)9798350348811

ISBN: (纸本)9798350348828

In this work, we present a small-scale testbed for evaluating the real-life performance of cellular V2X (C-V2X) applications on 5G cellular networks. Despite the growing interest and rapid technology development for V2X applications, researchers still struggle to prototype V2X applications with real wireless networks, hardware, and software in the loop in a controlled environment. To help alleviate this challenge, we present a testbed designed to accelerate development and evaluation of C-V2X applications on 5G cellular networks. By including a small-scale vehicle platform into the testbed design, we significantly reduce the time and effort required to test new C-V2X applications on 5G cellular networks. With a focus around the integration of small-scale vehicle platforms, we detail the design decisions behind the full software and hardware setup of commonly needed intelligent transport system agents (e.g. sensors, servers, vehicles). Moreover, to showcase the testbed’s capability to produce industrially-relevant, real world performance evaluations, we present an evaluation of a simple test case inspired from shared situational awareness. Finally, we discuss the upcoming use of the testbed for evaluating 5G cellular network-based shared situational awareness and other C-V2X applications.

关键词： Cellular networks Performance evaluation 5G mobile communication Wireless networks Prototypes Software Hardware

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HD Map Generation from Noisy Multi-Route Vehicle Fleet Data on Highways with Expectation Maximization

HD Map Generation from Noisy Multi-Route Vehicle Fleet Data ...

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IEEE Symposium on Intelligent Vehicle

作者： Fabian Immel Richard Fehler Mohammad M. Ghanaat Florian Ries Martin Haueis Christoph Stiller FZI Research Center for Information Technology Karlsruhe Germany Research & Development Mercedes-Benz AG Sindelfingen Germany Institute of Measurement and Control Systems Karlsruhe Institute of Technology (KIT) Karlsruhe Germany

High Definition (HD) maps are necessary for many applications of automated driving (AD), but their manual creation and maintenance is very costly. Vehicle fleet data from series production vehicles can be used to automatically generate HD maps, but the data is often incomplete and noisy. We propose a system for the generation of HD maps from vehicle fleet data, which is tolerant to missing or misclassified detections and can handle drives with multiple routes, generating a single complete map, model-free and without prior reference lines. Using randomly selected drives as pivot drives, a step-wise lateral sampling of detections is performed. These sampled points are then clustered and aligned using Expectation Maximization (EM), estimating a lateral offset for each drive to compensate localization errors. The clustered points are replaced with the maxima of their probability density function (PDF) and connected to form polylines using a modified rectangular linear assignment algorithm. The data from vehicles on varying routes is then fused into a hierarchical singular map graph. The proposed approach achieves an average accuracy below 0.5 meters compared to a hand annotated ground truth map, as well as correctly resolving lane splits and merges, proving the feasibility of the use of vehicle fleet data for the generation of highway HD maps.

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