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16th Seminar on Power Electronics and control, SEPOC 2024

作者： Rodrigues, Vinicius Descovi Merlo, Joao Vitor Tibola, Jonas Roberto Tambara, Rodrigo Varella Federal University of Santa Maria Research and Development Center in Electrical Engineering NUPEDEE Santa Maria Brazil Federal University of Santa Maria Graduate Program in Electrical Engineering PPGEE Santa Maria Brazil Federal University of Santa Maria Research and Development Center in Electrical and Computational Systems GSEC Santa Maria Brazil Federal University of Santa Maria Group of Power Electronics and Control GEPOC Santa Maria Brazil

ISBN: (纸本)9798350379419

This paper proposes a discrete-time Model Reference Adaptive controller (MRAC), applied to a Half-Bridge synchronous buck converter for charging batteries. The system uses an LCL filter that interfaces the power converter and the batteries. A virtual plant method is proposed for better transitory response of the adaptive control system. The model reference utilizes a reduced order, to simplify the project of the adaptive controller. Simulation results are presented for validation of the control project. © 2024 IEEE.

关键词： Buck converter

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Lifted Bilinear Model-based Linear Model Predictive control with Scalability

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IFAC-PapersOnLine 2023年第2期56卷 9405-9410页

作者： Masaki Kanai Masaki Yamakita Controls and Robotics Innovation Center Research & Development Group Ltd. Hitachi Ibaraki Japan Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo Japan

We propose a novel linear model predictive control (MPC) using a lifted bilinear model based on Koopman theory, which is computationally scalable against the dimension of the target system and the prediction horizon length. In MPC, the accuracy of the prediction model determines control performance, but it is a challenge to reduce the computational cost especially when considering nonlinearity of the model. To address this, a method has been proposed which represents the nonlinear input affine system as a lifted bilinear model and utilizes linear approximation and prediction error correction regarding the lifted state to achieve a low-computational-cost linear MPC with equivalent performance to nonlinear MPC. However, although the previous studies have shown its effectiveness for relatively low-order systems, it has not been applied to practical systems with higher dimensions. In this study, we extend the conventional method and propose a scalable linear MPC using a lifted bilinear model and apply it to higher-order nonlinear systems. In this paper, a quadrotor system operating in three-dimensional space is considered and its analytical lifted bilinear model is derived. In the formulation of linear MPC using the lifted bilinear model, an error correction method is newly introduced to feedback error for adjustment of the numerical relationships among the elements in the lifted state. The effectiveness of the proposed method is demonstrated through numerical simulations.

关键词： Model predictive control Koopman theory Lifting linearization Bilinear system

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Evaluation of Magnet Configurations for Magnetohydrodynamic Trajectory control during Planetary Entry

Evaluation of Magnet Configurations for Magnetohydrodynamic ...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Fawley, Destiny M. Eggl, Siegfried Putnam, Zachary R. D’souza, Sarah Borner, Arnaud University of Illinois at Urbana-Champaign Department of Aerospace Engineering 104 S. Wright St. UrbanaIL61801 United States Johns Hopkins Applied Physics Laboratory Astrodynamics and Control Group LaurelMD20723 United States NASA Ames Research Center Entry Systems and Vehicle Development Branch Moffett FieldCA94035 United States AMA Inc. NASA Ames Research Center Thermal Protection Materials and Systems Branch MS 234-1 Moffett FieldCA94035 United States

ISBN: (纸本)9781624107238

Magnetohydrodynamics is a phenomenon that can be harnessed during planetary entry to augment aerodynamic drag and may enable higher mass payloads to safely reach the surface. The magnetohydrodynamic force is quantified over a wide range of freestream conditions using computational fluid dynamics results from a previous study. The force is calculated for an array of small electromagnets, a large non-superconducting magnet, a large superconducting magnet, and a uniform field. The superconducting magnet produces a magnetohydrodynamic force within an order of magnitude of aerodynamic drag for velocities higher than 10 km/s, indicating that it may have a reasonable impact on the trajectory for some cases. The array of small magnets and non-superconducting magnet produced a magnetohydrodynamic force that is less than 1% of the aerodynamic drag, so their magnetic fields are not strong enough to affect an entry trajectory. Additionally, the magnet placement plays an important role in magnetohydrodynamic force magnitude, with a magnet located near the shoulder producing approximately eight times more force than a magnet placed on the axis of symmetry. A mass and power budget for each magnet configuration is given assuming current state-of-the-art magnet technology. This study also discusses implementation challenges for each type of magnet on a spacecraft. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Aerodynamic drag

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Techno-economic assessment of the use of linear fresnel solar collectors for the supply of heat in traditional fruits and vegetable processing industries in almeria’s province

Renewable Energy and Power Quality Journal

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Renewable Energy and Power Quality Journal 2021年 19卷 511-516页

作者： Gil, J.D. Ramos, Ja. Romero García, M. Pérez Molina, M. Martínez Ropero, J. Rodríguez, A. CIESOL Research Center on Solar Energy joint center UAL-CIEMAT Spain Automatic Control Robotics and Mechatronics group University of Almería Spain School of Engineering University of Almería University of Almería Ctra. De Sacramento s/n Almeria04120 Spain

This study presents a techno-economic assessment of the use of Linear Fresnel Solar Collectors for the heat supply in traditional fruits and vegetable processing industries in Almeria’s province. This assessment is justified by the high availability of solar radiation in the area under study, the evaluation of complementary energy self-consumption modalities, and the suitability of using local resources for the preservation and improvement of traditional productive activities. The work starts with an identification of the potential user’s needs and their location in the province. Afterward, the solar radiation resources have been estimated as they constitute one of the basic inputs for sizing the proposed systems. Together with the above, representative thermal demands have been considered and different configurations of commercial Linear Fresnel Solar Collector thermal plants aimed to contribute to solarize the analyzed productive processes have been designed and the corresponding techno-economic assessment have been undertaken. Main findings advance the profitability that can be achieved with this technology, reaching, after an optimized integration of the solar plant in the industrial process, a solar fraction between 66-82 % and payback periods of the investment between 6-12 years. © 2021, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.

关键词： Solar energy

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Design of An Intelligent control System for Underground Directional Drilling Trajectory in Coal Mines 41

Design of An Intelligent Control System for Underground Dire...

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第41届中国控制会议

作者： Wangnian Li Min Wu Ke Yao Quanxin Li Chengda Lu Sheng Du School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Xi'an Research Institute Co.Ltd. China Coal Technology and Engineering Group

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Directional drilling trajectory control technology is one of the key technologies to realize automation and intelligence of underground tunnel drilling in coal *** construction of directional drilling in underground coal mines mainly relies on manual observation of measurement-while-drilling parameters to control the drilling trajectory,which is highly dependent on manual *** paper designs an intelligent control system of underground directional drilling trajectory for coal *** the idea of hierarchical design and modular design,this system collects and displays geometric parameters,geological parameters,and engineering parameters of the directional drilling ***,an intelligent decision-making platform for directional drilling trajectory prediction and control is developed,laying a foundation for the research of directional drilling trajectory prediction and intelligent control for coal mines.

关键词： Trajectory prediction trajectory control geometric parameters geological parameters engineering parameters

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Design of an Intelligent Monitoring System for Operating States in a Coal Mine Drilling Process 41

Design of an Intelligent Monitoring System for Operating Sta...

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第41届中国控制会议

作者： Xiao Yang Luefeng Chen Sheng Du Chengda Lu Wangnian Li Min Wu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Xi'an Research Institute Co.Ltd. China Coal Technology and Engineering Group

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

With the development trend of intelligent drilling in coal mines,an intelligent monitoring system for operating states in a drilling process is developed to solve the problems of incomplete display of drilling parameters and ineffective *** system realizes the remote monitoring of drilling *** mainly adopts the Fuzzy C-Means clustering algorithm to cluster the drilling *** it combines expert empirical knowledge to classify coal seams into soft,hard and alternating soft and hard coal *** boundary values are calculated according to the boundary ***,three drilling operating states,rated,conservative and over-excited,are judged to provide guidance for the drilling process control.

关键词： Drilling process Intelligent monitoring Fuzzy C-Means clustering Operating states

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Lithology Classification Based on Set-Valued Identification Method

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Journal of systems Science & Complexity 2022年第5期35卷 1637-1652页

作者： LI Jing WU Lifang LU Wenjun WANG Ting KANG Yu FENG Deyong ZHOU Hansheng Department of Automation University of Science and Technology of ChinaHefei 230027China Key Laboratory of Systems and Control Institute of Systems ScienceAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100190China Institute of Artificial Intelligence University of Science and Technology BeijingBeijing 100083China Shengli Geophysical Research Institute SINOPEC GroupDongying 257022China Institute of Artificial Intelligence Hefei Comprehensive National Science CenterHefei 230088China

Lithology classification using well logs plays a key role in reservoir *** paper studies the problem of lithology identification based on the set-valued method(SV),which uses the SV model to establish the relation between logging data and lithologic types at a certain depth *** particular,the system model is built on the assumption that the noise between logging data and lithologic types is normally distributed,and then the system parameters are estimated by SV method based on the existing identification *** logging data of Shengli Oilfield in Jiyang Depression are used to verify the effectiveness of SV *** results indicate that the SV model classifies lithology more accurately than the Logistic Regression model(LR)and more stably than uninterpretable models on imbalanced ***,the Macro-F1 of the SV models(i.e.,SV(3),SV(5),and SV(7))are higher than 85%,where the sandstone samples account for only 22%.In addition,the SV(7)lithology identification system achieves the best stability,which is of great practical significance to reservoir exploration.

关键词： DT lithology classification LR RF set-valued model SVM

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State Derivative Normalization for Continuous-Time Deep Neural Networks

arXiv

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arXiv 2024年

作者： Weigand, Jonas Beintema, Gerben I. Ulmen, Jonas Görges, Daniel Tóth, Roland Schoukens, Maarten Ruskowski, Martin Chair of Machine Tools and Control Systems RPTU Kaiserslautern The German Research Center for Artificial Intelligence Kaiserslautern Germany Group The Department of Electrical Engineering Eindhoven University of Technology Netherlands The Systems and Control Laboratory The Institute for Computer Science and Control Budapest Hungary Institute for Electromobility RPTU Kaiserslautern Germany

The importance of proper data normalization for deep neural networks is well known. However, in continuous-time state-space model estimation, it has been observed that improper normalization of either the hidden state or hidden state derivative of the model estimate, or even of the time interval can lead to numerical and optimization challenges with deep learning based methods. This results in a reduced model quality. In this contribution, we show that these three normalization tasks are inherently coupled. Due to the existence of this coupling, we propose a solution to all three normalization challenges by introducing a normalization constant at the state derivative level. We show that the appropriate choice of the normalization constant is related to the dynamics of the to-be-identified system and we derive multiple methods of obtaining an effective normalization constant. We compare and discuss all the normalization strategies on a benchmark problem based on experimental data from a cascaded tanks system and compare our results with other methods of the identification literature. © 2024, CC BY-SA.

关键词： Ordinary differential equations

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Online Knowledge Integration for 3d Semantic Mapping: A Survey

SSRN

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SSRN 2025年

作者： Igelbrink, Felix Renz, Marian Günther, Martin Powell, Piper Niecksch, Lennart Lima, Oscar Atzmueller, Martin Hertzberg, Joachim German Research Center for Artificial Intelligence Research Department Plan-based Robot Control Osnabrück Germany Osnabrück University Institute of Computer Science Knowledge-Based Systems Group Osnabrück Germany Osnabrück University Institute of Computer Science Semantic Information Systems Group Osnabrück Germany

Semantic mapping is a key component of robots operating in and interacting with objects in structured environments. Traditionally, geometric and knowledge representations within a semantic map have only been loosely integrated. However, recent advances in deep learning now allow full integration of prior knowledge, represented as knowledge graphs or language concepts, into sensor data processing and semantic mapping pipelines. Semantic scene graphs and language models enable modern semantic mapping approaches to incorporate graph-based prior knowledge or to leverage the rich information in human language both during and after the mapping process. This has sparked substantial advances in semantic mapping, leading to previously impossible novel applications. This survey reviews these recent developments comprehensively, with a focus on online integration of knowledge into semantic mapping. We specifically focus on methods using semantic scene graphs for integrating symbolic prior knowledge and language models for respective capture of implicit common-sense knowledge and natural language concepts. © 2025, The Authors. All rights reserved.

关键词： Knowledge graph

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Estimation of Metro Passenger Capacity Based on Passenger-Train Matching Model 3rd

Estimation of Metro Passenger Capacity Based on Passenger-Tr...

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3rd International Conference on Information control, Electrical Engineering, and Rail Transit, ICEERT 2023

作者： Mei, Zhenkun Chen, Beijia Liu, Jiajun Shao, Jiayu Zhang, Ning Suzhou Rail Transit Group Co. Ltd. Jiangsu Suzhou215004 China School of Automation Southeast University Jiangsu Nanjing210096 China Key Laboratory of Measurement and Control of Complex Engineering Systems Ministry of Education Southeast University Jiangsu Nanjing210096 China ITS Engineering Research Center Ministry of Education Southeast University Jiangsu Nanjing211189 China

ISBN: (纸本)9789819788903

In the present scenario of the ‘one-tapin-one-tapout’ operation mode in urban rail transportation, determining passenger travel trajectories is challenging, thereby decreasing the effective counting of passengers on trains. In order to address this issue, a method for calculating passenger capacity on trains was developed by analyzing passenger travel information extracted from AFC data and train timetables. First, this research estimated the components of journey time to infer and reconstruct the passenger's specific spatiotemporal travel trajectory. The passenger-train matching model was then used to assign passengers to specific trains and calculate the passenger load of different trains at each station. At last, it took Suzhou Metro Line 3 as an example and analyzed the spatiotemporal distribution of urban rail transit passenger flow on a single line based on the proposed passenger-train model. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Urban transportation

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