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International Youth Conference on Radio Electronics, Electrical and power engineering (REEPE)

作者： Ali Ismail Edik K. Arakelyan Baydaa Bo-Dakkah Automated Control Systems for Thermal Processes Department National Research University “MPEI” Moscow Russian Federation Mechanical Power Engineering Department Tishreen University Latakia Syria Industrial Heat Power Engineering Systems Department National Research University “MPEI” Moscow Russian Federation Mechanical Engineering Department Damascus University Damascus Syria

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

This article discusses the limitations and increasing costs of petroleum and fossil fuels for internal combustion engines, and highlights the urgent need for alternative fuel sources. It emphasizes the environmental and health issues caused by diesel fuel emissions and discusses biodiesel as a promising alternative. Biodiesel, derived from plant seeds or biomass through esterification, is a renewable, oil-free fuel that can be blended with diesel. The share of biofuels in the automotive industry has been growing rapidly due to environmental, social and economic concerns. Various approaches to using vegetable oils as biofuels in internal combustion engines have been explored, including pyrolysis, micro emulsification, and esterification. The study investigates the ignition characteristics of conventional diesel and biodiesel blends, with experimental results showing promise for reducing environmental impact and conserving resources.

关键词： Industries Vegetable oils Temperature distribution power engineering Ignition Fossil fuels Delays Biofuels Petroleum Automotive engineering

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Disturbance-Rejection Guaranteed Mpc design for Mimo systems with Application to a 2-Dof Helicopter

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SSRN 2024年

作者： Zhao, Jingyu Liu, Shaojie Xue, Wenchao Ding, Yanjun Li, Donghai State Key Laboratory of Power Systems Department of Energy and Power Engineering Tsinghua University Beijing100084 China Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China

This paper presents a hierarchical control strategy for a broad class of multi-input multi-output (MIMO) uncertain systems without a nominal identified model. The core idea is to utilize Active Disturbance Rejection control (ADRC) to construct an equivalent desired dynamic model, which avoids the complex model identification for MIMO systems and improves the uncertainty rejection capability of the predictive controller. At the foundational layer, the extended state observer is constructed to timely estimate the uncertainties in the coupling of subsystems, enforcing these into an equivalent desired plant through dynamic compensation linearization. The modified input-output pair models depend solely on compensation law parameter and can directly serve as the prediction model for multi-step prediction and centralized receding optimization, ensuring optimal control of the MIMO system. The strategy is validated on typical MIMO systems of various sizes (2×2, 3×3, 8×8), including minimum phase, unstable, higher-order, and time-delay subsystems. Monte Carlo simulations quantitatively assess the enhanced robustness. Additionally, a 2-DOF helicopter experiment system, characterized by nonlinear time-varying coupling between attitude angles is used to evaluate the servo-regulatory performance of the proposed strategy. Results demonstrate the effectiveness of our controller in both nominal and mismatch model scenarios. © 2024, The Authors. All rights reserved.

关键词： Disturbance rejection

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State Estimation for Integrated Energy systems: Motivations, Advances, and Future Work

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IEEE Transactions on power systems 2024年第4期40卷 3057-3073页

作者： Zhao, Junbo Srivastava, Ankur Guo, Ye Cetenovic, Dragan Lin, Yuzhang Levi, Victor Yin, Guanxiong Huang, Manyun Zhang, Tingting Li, Zhigang Chen, Yanbo Exposito, Antonio G. Zhang, Wen Zheng, Weiye Chakrabarti, Saikat Li, Yang Sharma, Ankush Kamwa, Innocent Guo, Qinglai Terzija, Vladimir Mili, Lamine University of Connecticut Department of Electrical and Computer Engineering StorrsCT06269 United States Tsinghua University Tsinghua-Berkeley Shenzhen Institute Shenzhen518055 China The University of Manchester Department of Eee ManchesterM13 9PL United Kingdom University of Kragujevac Faculty of Technical Sciences Čačak Čačak32000 Serbia New York University Department of Electrical and Computer Engineering NY11201 United States Tsinghua University Department of Electrical Engineering Beijing100084 China Hohai University College of Energy and Electrical Engineering Nanjing210098 China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan250061 China The Chinese University of Hong Kong-Shenzhen School of Science and Engineering Shenzhen518172 China North China Electric Power University School of Electrical and Electronic Engineering Beijing102206 China University of Sevilla Spain Sevilla41092 Spain South China University of Technology School of Electrical Power Engineering Guangzhou510641 China Indian Institute of Technology Kanpur Department of Electrical Engineering Kanpur208016 India Northeast Electric Power University School of Electrical Engineering Jilin132012 China Laval University Department of Electrical and Computer Engineering QuebecQCG1V 0A6 Canada Tsinghua University State Key Laboratory of Power Systems Department of Electrical Engineering Beijing100084 China Newcastle University School of Engineering Newcastle upon TyneNE1 7RU United Kingdom Virginia Polytechnic Institute and State University Bradley Department of Electrical and Computer Engineering Falls ChurchVA22043 United States

This paper summarizes the technical activities of a three-year-long IEEE Task Force (TF) on State Estimation (SE) for Integrated Energy systems (IES). It presents the formal definition and characteristics of IES, along with the comprehensive discussion on Electric power systems (EPS) model, and static and dynamic models associated with heating and natural gas systems. The paper also identifies the barriers of SE for IES, such as estimation modeling, observability analysis, and measurement requirements, together with addressing multi-scale dynamics. An extensive comparative analysis between Integrated Energy systems-State Estimation (IES-SE) and more established Electric power System-State Estimation (EPS-SE) is presented. The paper also provides future research needs and directions related to IES-SE. © 1969-2012 IEEE.

关键词： power system analysis

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Functional meniscus reconstruction with biological and biomechanical heterogeneities through topological self-induction of stem cells

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Bioactive Materials 2024年第6期36卷 358-375页

作者： Mingze Du Kangze Liu Huinan Lai Jin Qian Liya Ai Jiying Zhang Jun Yin Dong Jiang Department of Sports Medicine Peking University Third HospitalInstitute of Sports Medicine of Peking UniversityBeijing Key Laboratory of Sports InjuriesEngineering Research Center of Sports Trauma Treatment Technology and DevicesMinistry of EducationBeijingChina The State Key Laboratory of Fluid Power Transmission and Control Systems Key Laboratory of 3D Printing Process and Equipment of Zhejiang ProvinceSchool of Mechanical EngineeringZhejiang UniversityZhejiang310058China Department of Engineering Mechanics Key Laboratory of Soft Machines and Smart Devices of Zhejiang ProvinceZhejiang UniversityZhejiang310058China School of Chemistry Chemical Engineering and BiotechnologyNanyang Technological University639798Singapore

Meniscus injury is one of the most common sports injuries within the knee joint,which is also a crucial pathogenic factor for osteoarthritis(OA).The current meniscus substitution products are far from able to restore meniscal biofunctions due to the inability to reconstruct the gradient heterogeneity of natural meniscus from biological and biomechanical ***,inspired by the topology self-induced effect and native meniscus microstructure,we present an innovative tissue-engineered meniscus(TEM)with a unique gradient-sized diamond-pored microstructure(GSDP-TEM)through dual-stage temperature control 3D-printing system based on the mechanical/biocompatibility compatible high M_(w) poly(ε-caprolactone)(PCL).Biologically,the unique gradient microtopology allows the seeded mesenchymal stem cells with spatially heterogeneous differentiation,triggering gradient transition of the extracellular matrix(ECM)from the inside ***,GSDP-TEM presents excellent circumferential tensile modulus and load transmission ability similar to the natural *** implantation in rabbit knee,GSDP-TEM induces the regeneration of biomimetic heterogeneous neomeniscus and efficiently alleviates joint *** study provides an innovative strategy for functional meniscus *** self-induced cell differentiation and biomechanical property also provides a simple and effective solution for other complex heterogeneous structure reconstructions in the human body and possesses high clinical translational potential.

关键词： Tissue-engineered meniscus Functional reconstruction Mesenchymal stem cells Heterogeneity Topology structure

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Robust Frequency Regulation for Dual-Area Interconnected Grids Using Hybrid controller: A Comparative Study 3

Robust Frequency Regulation for Dual-Area Interconnected Gri...

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3rd IEEE International Conference on Smart Technologies for power, Energy and control, STPEC 2023

作者： Wazir, Awadh Ba Alhussainy, Abdullah A. Alobaidi, Abdulraheem H. Altaf, Aatif Kumar, Anil Kumar, Mahendra Alghamdi, Sultan King Abdulaziz University Faculty of Engineering Department of Electrical and Computer Engineering Jeddah Saudi Arabia King Abdulaziz University Center of Research Excellence in Renewable Energy and Power Systems Jeddah Saudi Arabia Dr. B R Ambedkar National Institute of Technology Jalandhar Instrumentation and Control Engineering Department Punjab Jalandhar India

ISBN: (纸本)9798350304732

This paper introduces a robust controller designed for load frequency control in a dual-area integrated power grid. Here, the suggested controller is a blend of a fuzzy logic controller with an integral controller. The parameters of the integral controller and frequency bias settings are optimized to enhance the dynamic response of the proposed controller. To attain this, three distinct optimization algorithms are employed, i.e., genetic algorithm, simulated annealing, and pattern search. A new objective function using settling time, settling-max, and settling-min with a suitable weight factor is used to improve the parameters estimation process. A comparative analysis is performed using the proposed approach and classical-I controller under two cases considering several load disturbance scenarios. Furthermore, the suggested hybrid controller is evaluated and compared with similar models in the literature. As expected, the proposed controller exhibits superior performance. © 2023 IEEE.

关键词： Fuzzy logic controller integral controller load frequency control optimization technique parameter estimation

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Selection Problems of Current Transformers Characteristics at the design Stage with Requirements for Correct Operation Under Transient Modes

Selection Problems of Current Transformers Characteristics a...

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International Youth Scientific and Technical Conference on Relay Protection and Automation (RPA)

作者： A.A. Yablokov A.V. Panashchatenko V.A. Titov R.A. Maltsev Electric power systems automatic control department Electric systems department Ivanovo State Power Engineering University named after V.I. Lenin Ivanovo Russia

Modern normative technical documentation in the field of design and operation of power facilities [1] imposes new requirements on current transformers (CTs) operation. The technical characteristics of CTs and the connected relay protection devices as a whole must ensure the correct operation of the devices during short-circuits (SCs), including when an aperiodic current component occurs. This circumstance primarily applies to newly constructed and reconstructed power facilities. The process of creating design documentation for them must be carried out taking into account the new requirements, for which GOST R 58669-2019 [2] was developed and approved. According to it, in addition to the existing tests of selected CTs, it is necessary to perform calculations of the time to saturation of the magnetic core of each CT winding, high-speed relay protection devices are connected to which. The obtained time is compared with the minimum time required for the correct operation of the connected relay protection devices. Difficulties often occur in coordinating the characteristics of CTs selected at the design stage and the results of calculating the time to saturation of CT magnetic cores at the detailed design stage. Negative test results lead to the need to adjust the design characteristics of CTs and to additional labor costs for their approval. One of the solutions to the problem encountered in design practice is intentionally inflating the characteristics of CTs at the design stage in order to successfully pass the time to saturation test at the detailed design stage. It leads to unjustified financial costs and non-optimal selection of CTs. Therefore, it is relevant to develop methods for calculating CT characteristics taking into account the new requirements.

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Multi-Objective Particle Swarm Optimisation for Pareto Optimal Tuning of Super-Twisting controller in Quadcopter 4

Multi-Objective Particle Swarm Optimisation for Pareto Optim...

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4th International Conference on Innovative Research in Applied Science, engineering and Technology, IRASET 2024

作者： Vera, Octavio Gomez, Victor Rodas, Jorge Kali, Yassine Saad, Maarouf Comparatore, Leonardo Universidad Nacional De Asunción Lab. Of Power And Control Systems Facultad De Ingeniería Luque Paraguay School Of Engineering Université Du Québec En Abitibi-Témiscamingue Rouyn-Noranda Canada Grepci Laboratory École De Technologie Supérieure Department Of Electrical Engineering Montreal Canada

ISBN: (纸本)9798350309508

This work introduces the Multi-Objective Particle Swarm Optimisation (MOPSO) algorithm to optimise and speed up adjusting gains of a modified super-twisting second-order sliding-mode (MSTSOSM) attitude controller designed for a quadcopter. The tuning process is executed in MATLAB/Simulink, utilising a non-linear model that incorporates the physical characteristics of the quadcopter. The optimised parameters correspond to the MSTSOSM gains associated with each attitude state. The MSTSOSM constructs vectors using the gains of each Euler angle, employing particle coordinates computed by the MOPSO algorithm. These coordinates dynamically evolve during the algorithm's execution, exploring the parameter space for optimal positions. Consequently, the Pareto front emerges, showcasing Pareto's optimal solutions. The optimisation methodology is grounded in Pareto dominance theory, evaluating performance indicators such as rise time, root-mean-square error, and overshoot across all attitude axes in step responses. This systematic approach transcends traditional trial-and-error methods, comprehensively exploring the parameter space. Simulation and experimental results affirm the efficacy of this tuning process, demonstrating its capacity to enhance quadcopter control with precision and efficiency. © 2024 IEEE.

关键词： Sliding mode control

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Electromagnetic Parameters of the Ferrite Materials for Electromagnetic Compatibility

Electromagnetic Parameters of the Ferrite Materials for Elec...

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2023 Radiation and Scattering of Electromagnetic Waves, RSEMW 2023

作者： Serebryannikov, Sergey V. Serebryannikov, Sergey S. Kovalchuk, Valeriya G. Belevtsev, Andrey M. Epaneshnikova, Irina K. Boldyreff, Anton S. National Research University Moscow Power Engineering Institute Department of Physics and Technologies of Electrical Materials and Components Moscow Russia Moscow Aviation Institute National Research University Department 317 Innovation Management Moscow Russia Institute of Radio Engineering Systems and Control Southern Federal University Taganrog Russia

ISBN: (纸本)9798350322378

Composite materials and coatings in the form of bulk samples based on the ferrite compositions (BaCoZn)Fe203 were researched. The connection between dielectric and magnetic magnetic permeability makes it possible to control their magnetic properties [1] by doping the initial composition, as well as by finishing the compositions. The materials are stable system demonstrating a good absorption degree and electromagnetic radiation reflection of the microwave range. The basis of material selection for manufacturing electromagnetic radiation absorber and brief description of the technology for producing ferrite-based composite materials (BaCoZn)Fe203 are presented in the paper. Research results of the frequency characteristics of the powder material in the frequency range of 1 MHz - 12.5 GHz are received. Recommendations about suggested composite material use as the electromagnetic radiation absorber are defined. It is shown that the composite material has great prospects for screening and absorption of EMR purposes, while the effectiveness of screening depends primarily on the type of ceramic material. © 2023 IEEE.

关键词： Electromagnetic wave emission

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Enhancing Traffic Flow Forecasting with Spatio-Temporal Information: A Case Study on Highway Networks in Belgium 8

Enhancing Traffic Flow Forecasting with Spatio-Temporal Info...

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8th International Conference on Instrumentation, control, and Automation, ICA 2023

作者： Fathurrahman, Muhammad Farhan Catteeuw, Arne Gautama, Sidharta Aguirre, Angel L. Joelianto, Endra Sutarto, Herman Y. Ghent University Engineering and Product Design Department of Industrial Systems Ghent Belgium Department of Intelligent System Bandung Indonesia FlandersMake@UGent-Corelab ISyE Lommel Belgium Institut Teknologi Bandung Instrumentation and Control Research Group Faculty of Industrial Technology Bandung Indonesia

ISBN: (纸本)9798350301274

As the number of vehicles continues to increase every year, it is crucial to monitor traffic conditions effectively. Traffic forecasting serves as a valuable method in traffic management to support decision making. This study investigates the impact of utilizing spatio-Temporal data for traffic flow forecasting, as opposed to forecasting each location individually. We compare spatio-Temporal Long Short-Term Memory (LSTM), a machine-learning technique that utilizes spatially correlated sensor data in a network, and compare this to conventional LSTM and Seasonal ARIMA (SARIMA). Experiments have been conducted on counting loop data of a highway network in Belgium. We have investigated the performances of the forecasting model for different prediction horizons. The results show that spatial information improves the performance of the forecasting model and reduces the training time required. Further analysis show that the spatio-Temporal LSTM improves majorities of detectors while the minorities detectors are degraded which imply the importances of network selection. The computational load of the spatio-Temporal LSTM model is minimally impacted by the number of sensors in the network thus making it scalable. The results show that longer prediction horizons degrade the forecasting performance but the impact up to a 12 hour-horizon is not significant. © 2023 IEEE.

关键词： Long short-term memory

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Model predictive control for heat flexibility activation of the Thermally Activated Building System 18

Model predictive control for heat flexibility activation of ...

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18th IBPSA Conference on Building Simulation, BS 2023

作者： Liu, Dingzhou Yang, Xiaochen Guan, Wenze Tian, Zhe Zong, Yi Tang, Rui School of Environmental Science and Engineering Tianjin University Tianjin China Tianjin Key Laboratory of Built Environment and Energy Application Tianjin University Tianjin300072 China Division for Power and Energy Systems Department of Wind and Energy Systems Technical University of Denmark Denmark Institute for Environmental Design and Engineering The Bartlett University College London London United Kingdom

The Thermally Activated Building System (TABS) can provide high thermal comfort level and utilize the low temperature energy resources efficiently. And it has great energy flexibility which offers the possibility of load shifting. However, the large building thermal mass of the TABS systems also provides many challenges for indoor temperature control. In order to minimize the costs and maximize the utilization of energy flexibility, an economic model predictive control (EMPC) strategy is developed by the authors and applied to the TABS system of a near-zero energy building in Tianjin. And compared with the RBC control *** results show that EMPC has a lower energy price cost. © 2023 *** rights reserved.

关键词： Model predictive control

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