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arXiv 2022年

作者： Van Der Ploeg, Chris Smit, Robin Teerhuis, Arjan Silvas, Emilia Netherlands Organisation for Applied Scientific Research Integrated Vehicle Safety Group Helmond5700 AT Netherlands Eindhoven University of Technology Dynamics and Control Group Mechanical Engineering Dept. P.O. Box 513 Eindhoven5600 MB Netherlands Eindhoven University of Technology Control Systems Technology Group Mechanical Engineering Dept. P.O. Box 513 Eindhoven5600 MB Netherlands

Developing safe automated vehicles that can be proactive, safe, and comfortable in mixed traffic requires improved planning methods that are risk-averse and that account for predictions of the motion of other road users. To consider these criteria, in this article, we propose a non-linear model-predictive trajectory generator scheme, which couples the longitudinal and lateral motion of the vehicle to steer the vehicle with minimal risk, while progressing towards the goal state. The proposed method takes into account the infrastructure, surrounding objects, and predictions of the objects’ state through artificial potential-based risk fields included in the cost function of the model-predictive control (MPC) problem. This trajectory generator enables anticipatory maneuvers, i.e., mitigating risk far before any safety-critical intervention would be necessary. The method is proven in several case studies representing both highways- and urban situations. The results show the safe and efficient implementation of the MPC trajectory generator while proving its real-time applicability. © 2022, CC BY.

关键词： Model predictive control

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A necessary condition for network identifiability with partial excitation and measurement

arXiv

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arXiv 2021年

作者： Cheng, Xiaodong Shi, Shengling Lestas, Ioannis van den Hof, Paul M.J. Control Group Department of Engineering University of Cambridge CB2 1PZ United Kingdom Control Systems Group Department of Electrical Engineering Eindhoven University of Technology Eindhoven5600 MB Netherlands

This paper considers dynamic networks where vertices and edges represent manifest signals and causal dependencies among the signals, respectively. We address the problem of how to determine if the dynamics of a network can be identified when only partial vertices are measured and excited. A necessary condition for network identifiability is presented, where the analysis is performed based on identifying the dependency of a set of rational functions from excited vertices to measured ones. This condition is further characterised by using an edge-removal procedure on the associated bipartite graph. Moreover, on the basis of necessity analysis, we provide a necessary and sufficient condition for identifiability in circular networks. Copyright © 2021, The Authors. All rights reserved.

关键词： Rational functions

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The combined effects of microplastics and their additives on mangrove system: From the sinks to the sources of carbon

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Science of the Total Environment 2025年 959卷 178336页

作者： Guo, Junru Yang, Mingqing Huang, Ruohan Yu, Junyi Peng, Kaiming Cai, Chen Huang, Xiangfeng Wu, Qiaofeng Liu, Jia College of Environmental Science and Engineering Tongji University State Key Laboratory of Pollution Control and Resource Reuse Ministry of Education Key Laboratory of Yangtze River Water Environment Shanghai200092 China Fuzhou Urban and Rural Construction Group Company Limited Fuzhou350007 China Frontiers Science Center for Intelligent Autonomous Systems Shanghai200092 China Institute of Carbon Neutrality Tongji University Shanghai200092 China Fuzhou City Construction Investment Group Company Limited Fuzhou350014 China

Mangrove ecosystems, a type of blue carbon ecosystems (BCEs), are vital to the global carbon cycle. However, the combined effects of microplastics (MPs) and plastic additives on carbon sequestration (CS) in mangroves remain unclear. Here, we comprehensively review the sources, occurrence, and environmental behaviors of MPs and representative plastic additives in mangrove ecosystems, including flame retardants, such as polybrominated diphenyl ethers (PBDEs), and plasticizers, such as phthalate esters (PAEs). Mangrove ecosystems have a complex influence on the behaviors of MPs and additives. Under the action of natural and unnatural factors, these pollutants exhibit complex behaviors including migration, interception, deposition and transformation, that are closely linked to those of particulate carbon, particularly carbon sequestration processes. MPs and additives hinder the CS function of mangroves by harming the growth of flora and fauna, influencing microbial nitrogen and sulfur cycles, and enhancing the degradation of organic matter in the sediment. The increasing accumulation and widespread occurrence of MPs and additives will greatly influence the carbon cycle. Future work is encouraged on systematic investigation of new alternatives to plastics and additives, and research methods to uncover the impact mechanisms of MPs and additives on BCEs. The developments of management measures and engineering technologies are also required to enhance pollutant control and mangrove CS. © 2024 Elsevier B.V.

关键词： Carbon sequestration

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A Special Issue:"Key Technologies of Virtual Power Plant and Distributed Energy Resources"for Global Energy Interconnection

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全球能源互联网（英文版） 2024年第2期7卷前插1-前插2页

作者： Wei Pei Xiaojun Shen Xin Zhang North China Electric Power University BeijingChina Electrical Engineering Department Shanghai Jiaotong UniversityShanghaiChina University of Sheffield United Kingdom Electrical Machines and Drives Research Group and the Department of Automatic Control and Systems Engineering UK Research and Innovation (UKRI)

The increasing penetration of renewable and distributed energy resources (DERs) is transforming the power grid into a new type of clean and low-carbon power system. However, the uncertainty and volatility of DERs have also brought severe challenges to the secure and reliable operation of the power systems. In order to successfully integrate renewable DERs, virtual power plant (VPP) has emerged as a new technique for coordinating demand-side DERs, which has drawn significant attention from industry and academia.

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CO2 Mineralization and Heavy Metal Leaching of Multi-Source Ashes from Municipal Solid Waste Incineration

SSRN

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SSRN 2024年

作者： Cheng, Yiming Li, Zijian Zhang, Peng Chen, Jie Qin, Changlei Key Laboratory of Low-grade Energy Utilization Technologies and Systems of Ministry of Education School of Energy and Power Engineering Chongqing University Chongqing400044 China Chongqing Sanfeng Environment Group Corp. Ltd. Chongqing400084 China State Key Laboratory of Coal Mine Disaster Dynamics and Control School of Resources and Safety Engineering Chongqing University Chongqing400044 China

Mineralization holds great promise in simultaneously fixing CO2 and treating ash from the municipal solid waste incineration (MSWI). However, characteristics of CO2 mineralization and heavy metal leaching largely depends on the generation process of ashes. Herein, we report a systematic evaluation on the direct aqueous carbonation of multi-source MSWI ashes and leaching behavior of heavy metals before and after mineralization. Influencing factors for CO2 mineralization are determined to follow the order of CO2 concentration > temperature > solid-liquid ratio > stirring speed. Spray tower fly ash from the semi-dry process and bag filter fly ash from the dry process exhibit better sequestration capacities of 82.3 g-CO2/kg-ash and 150.9 g-CO2/kg-ash with a maximum CO2 removal rate of 0.117 mmol/s and 0.191 mmol/s among all ashes. Moreover, a significant reduction in Pb leaching concentration is observed after CO2 mineralization. These finding provides a theoretical basis for the potential intensive utilization of MSWI ashes in CO2 mitigation. © 2024, The Authors. All rights reserved.

关键词： Carbon dioxide

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Development of Efficient 5-HP BLDC motor for Solar water pump and performance comparison with Induction Motor counterpart

Development of Efficient 5-HP BLDC motor for Solar water pum...

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2021 IEEE India Council International Subsections Conference, INDISCON 2021

作者： Wankhede, Ashok K. Pal, Saumitra Singh, Munendra Gogte, Omkar R. Sharma, Archana Fernandes, B.G. Homi Bhabha National Institute HBNI Anushaktinagar Mumbai India Control Systems Development Division BARC Mumbai Mumbai India Beam Technology Development Group BARC Mumbai Mumbai India Dept of Electrical Engineering IIT Bombay Mumbai India

ISBN: (纸本)9781665438339

Induction motor based, 5 HP Solar water pumps are common in farming application. The solar power available varies from minimum to maximum during the day. It is known that the solar insolation pattern is such that about 60 percent or more power is available for only 50 percent operating duration. For best performance of solar pumping system, the motor must exhibit very good efficiency for wide operating speed range. For 4 pole motor the operating speed range is 1200 to 2850 rpm. Efficiency of 5 HP, 4 pole Induction motor used in cost effective solar water pump is reported as 83 percent maximum at rated condition and drops to 74 percent when speed drops to minimum operating value. Drastic reduction in efficiency limits the pumping capacity and increases the motor temperature. A 5 HP BLDC motor is having efficiency about 92 percent under rated condition and remains above 89 percent for minimum operating speed. This makes BLDC motor attractive option for solar pumping system. A 5 HP, 4 pole BLDC motor is designed and integrated in surface type solar water pump and tested with standard solar panel. Comparative study is conducted with standard Induction motor based solar pump and results are presented. Finally, BLDC solar pump is qualified by testing at Government accredited laboratory. © 2021 IEEE

关键词： Induction motors

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Network Traffic Classification Based on SD Sampling and Hierarchical Ensemble Learning

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Security and Communication Networks 2023年第1期2023卷

作者： Qin, Jian Han, Xueying Wang, Chonghua Hu, Qing Jiang, Bo Zhang, Chen Lu, Zhigang Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China School of Cyber Security University of Chinese Academy of Sciences Beijing100049 China China Industrial Control Systems Cyber Emergency Response Team Beijing100040 China Information Center of China North Industries Group Corporation Beijing China

With the increase in cyber threats in recent years, there have been more forms of demand for network security protection measures. Network traffic classification technology is used to adapt to the dynamic threat environment. However, network traffic has a natural unbalanced class distribution problem, and the single model leads to the low accuracy and high false-positive rate of the traditional detection model. Given the above two problems, this paper proposes a new dataset balancing method named SD sampling based on the SMOTE algorithm. Different from the SMOTE algorithm, this method divides the sample into two types that are easy and difficult to classify and only balances the difficult-to-classify sample, which not only overcomes the SMOTE's overgeneralization but also combines the idea of oversampling and undersampling. In addition, a two-layer structure combined with XGBoost and the random forest is proposed for multiclassification of anomalous traffic, since using a hierarchical structure can better classify minority abnormal traffic. This paper conducts experiments on the CICIDS2017 dataset. The results show that the classification accuracy of the proposed model is more than 99.70% and that the false-positive rate is less than 0.34%, indicating that the proposed model is better than traditional models. © 2023 Jian Qin et al.

关键词： Network security

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A fuzzy control and neural network based rotor speed controller for maximum power point tracking in permanent magnet synchronous wind power generation system

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Global Energy Interconnection 2023年第5期6卷 554-566页

作者： Min Ding Zili Tao Bo Hu Meng Ye Yingxiong Ou Ryuichi Yokoyama School of Automation China University of GeosciencesWuhan 430074P.R.China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074P.R.China Global Energy Interconnection Group Co. LtdSTATE GRID Corporation of ChinaBeijing 100032P.R.China School of Environment and Energy Engineering Waseda UniversityTokyo169-8050Japan

When the wind speed changes significantly in a permanent magnet synchronous wind power generation system,the maximum power point cannot be easily determined in a timely *** study proposes a maximum power reference signal search method based on fuzzy control,which is an improvement to the climbing search method.A neural network-based parameter regulator is proposed to address external wind speed fluctuations,where the parameters of a proportional-integral controller is adjusted to accurately monitor the maximum power point under different wind speed ***,the effectiveness of this method is verified via Simulink simulation.

关键词： Maximum wind power tracking Fuzzy control Neural network

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Dynamic Characterization of a Pop-Up Folding Flat Explorer Robot (PUFFER) for Planetary Exploration 38th

Dynamic Characterization of a Pop-Up Folding Flat Explorer R...

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38th IMAC, A Conference and Exposition on Structural Dynamics, 2020

作者： Bell, John Redmond, Laura Carpenter, Kalind de la Croix, Jean-Pierre Glenn Department of Civil Engineering Clemson University ClemsonNC United States Robotic Vehicles and Manipulators Group Jet Propulsion Laboratory California Institute of Technology PasadenaCA United States Robotic Systems Estimation Decision and Control Group Jet Propulsion Laboratory California Institute of Technology PasadenaCA United States

ISBN: (纸本)9783030477165

NASA’s Jet Propulsion Laboratory is currently in the design phases of the new Pop-Up Flat Folding Explorer Robot (PUFFER) for planetary exploration. Inspired by origami, PUFFER is constructed of a printed circuit board (PCB) body which utilizes Nomex fabric as foldable joints. The structure can fold flat to stow for launch and to change shape according to the obstacles encountered. Of primary interest is how PUFFER will perform under impacts caused by drops into large pits on a planet’s surface. In order to simulate PUFFER’s dynamic performance, Finite Element Models (FEM) need to be constructed in an informed manner using the material properties and damping characteristics of the joints. This paper presents the first step in this process, the dynamic characterization of PUFFER via modal testing. The frequencies, associated mode shapes, and modal damping extracted by modal analysis will be correlated with the FEM to ensure that the dynamic behavior of the structure is properly captured. © 2021, The Society for Experimental Mechanics, Inc.

关键词： Machine design

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Overcoming the Fear of the Dark: Occlusion-Aware Model-Predictive Planning for Automated Vehicles Using Risk Fields

arXiv

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arXiv 2023年

作者： van der Ploeg, Chris Nyberg, Truls Sánchez, José Manuel Gaspar Silvas, Emilia van de Wouw, Nathan Netherlands Organisation for Applied Scientific Research Integrated Vehicle Safety Group Helmond5700 AT Netherlands Eindhoven University of Technology Dynamics and Control Group Mechanical Engineering Dept. P.O. Box 513 Eindhoven5600 MB Netherlands Eindhoven University of Technology Control Systems Technology Group Mechanical Engineering Dept. P.O. Box 513 Eindhoven5600 MB Netherlands KTH Royal Institute of Technology Division of Robotics Perception and Learning School of Electrical Engineering and Computer Science Stockholm100 44 Sweden Scania CV AB Södertälje151 87 Sweden

As vehicle automation advances, motion planning algorithms face escalating challenges in achieving safe and efficient navigation. Existing Advanced Driver Assistance systems (ADAS) primarily focus on basic tasks, leaving unexpected scenarios for human intervention, which can be error-prone. Motion planning approaches for higher levels of automation in the state-of-the-art are primarily oriented toward the use of risk- or anti-collision constraints, using over-approximates of the shapes and sizes of other road users to prevent collisions. These methods however suffer from conservative behavior and the risk of infeasibility in high-risk initial conditions. In contrast, our work introduces a novel multi-objective trajectory generation approach. We propose an innovative method for constructing risk fields that accommodates diverse entity shapes and sizes, which allows us to also account for the presence of potentially occluded objects. This methodology is integrated into an occlusion-aware trajectory generator, enabling dynamic and safe maneuvering through intricate environments while anticipating (potentially hidden) road users and traveling along the infrastructure toward a specific goal. Through theoretical underpinnings and simulations, we validate the effectiveness of our approach. This paper bridges crucial gaps in motion planning for automated vehicles, offering a pathway toward safer and more adaptable autonomous navigation in complex urban contexts. Copyright © 2023, The Authors. All rights reserved.

关键词： Motion planning

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