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IEEE Conference on Power Electronics and Renewable Energy (CPERE)

作者： Karam Khairullah Mohammed Saad Mekhilef Muhyaddin Rawa Control and Mechatronics Engineering Department School of Electrical Engineering Universiti Teknologi Malaysia Johor Bahru Malaysia School of Software and Electrical Engineering Faculty of Science Engineering and Technology Swinburne University of Technology Hawthorn VIC Australia Smart Grids Research Group Center of Research Excellence in Renewable Energy and power Systems King Abdulaziz University Jeddah Saudi Arabia Department Of Electrical and computer Engineering Faculty of engineering K. A Care Energy Research and Innovation Center King Abdulaziz University Jeddah Saudi Arabia

Photovoltaic systems (PV) are exposed to various weather conditions during the day and getting the maximum power of a PV system is one of its major challenges. While the conventional methods take time to track the maximum power accompanying the fluctuation around the maximum power. Consequently, several metaheuristic algorithms have been presented to overcome the fluctuating around the maximum power. On the other hand optimization methods will search into entire the PV curve to extract the maximum power. This leads to unnecessary search points during the uniform shading conditions which decrease the convergence speed towards the maximum power. In overcoming the tracking time issues as well as the capacity to distinguish between uniform and partial shading conditions, a quick and efficient tracking technique connected to the grid system was presented in this paper. The proposed system, has been tested using MATLAB/SIMULINK, which includes a boost converter to track the maximum power with a sampling time of 0.05 seconds, While a voltage source converter (VSC) is used to transfer the power generated by solar panels to the grid. The simulation results demonstrated that the proposed method was successfully implemented, with an average tracking time of 0.412 s for different weather conditions. Moreover, the comparison with the conventional method of perturb and observe (P& O) has been presented to evaluate the proposed method’s efficiency.

关键词： Maximum power point trackers Renewable energy sources Fluctuations Simulation Optimization methods Power electronics Solar panels

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Development of Virtual Learning Factory Toolkit for Production engineering Education 13

Development of Virtual Learning Factory Toolkit for Producti...

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13th International DAAAM Baltic Conference and 29th International Baltic Conference, BALTMATTRIB 2021

作者： Mahmood, Kashif Otto, Tauno Kuts, Vladimir Terkaj, Walter Urgo, Marcello Haidegger, Geza Department of Mechanical and Industrial Engineering Tallinn University of Technology Tallinn Estonia STIIMA-CNR Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing National Research Council Milan Italy Manufacturing and Production Systems Division Department of Mechanical Engineering Politecnico di Milano Milan Italy SZTAKI – Institute for Computer Science and Control Budapest Hungary

The advent of industry 4.0 and the continuous digitalization of production ask for the enhancement of human skills and competences in the field of information and communication technology (ICT). Therefore, higher education has to keep pace with the global market needs for the necessary ICT skills and the overall understanding of the complexity of industries in 21st century. This paper focuses on the development and integration of Virtual Learning Factory (VLF) tools that can be used in production management and engineering education. The digital tools integrated in VLF toolkit can help students to exploit enabling technologies like simulation and virtual reality in their manufacturing studies and practical projects with industrial companies. © 2021 DAAAM International. All rights reserved.

关键词： engineering education

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Designing LQR controllers for an active anti-roll bar system with a flexible frame model of a single unit heavy vehicle

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Periodica Polytechnica Transportation engineering 2021年第3期49卷 199-209页

作者： Vu, Van Tan Tran, Van Da Pham, Quoc Trung Truong, Manh Hung Sename, Oliver Gaspar, Peter Department of Automotive Mechanical Engineering Faculty of Mechanical Engineering University of Transport and Communications 3 Cau Giay Street Hanoi100000 Viet Nam Université Grenoble Alpes P. O. B. 46 Saint-Martin-d'Hères38402 France Systems and Control Laboratory Institute for Computer Science and Control Hungarian Academy of Sciences Kende u. 13-17 BudapestH-1111 Hungary

Rollover accidents of heavy vehicles often cause serious consequences both in terms of vehicle and environmental damage as well the loss or injury of drivers, passengers and ordinary civilians. Currently, the active anti-roll bar system is considered as the most effective solution in enhancing vehicle roll stability. In this paper, we firstly investigated the role of a flexible frame of a single unit heavy vehicle in the rollover process. This approach is an important step forward in the research of the active anti-roll bar system. Then, the LQR control method is applied in designing controllers for the active anti-roll bar control system with this frame model. The active torque of the anti-roll bar system is considered as the control signal. The simulation results in the frequency and time domains with a double lane change maneuver show that the vehicle's roll stability is improved by over 30 % compared to a vehicle using a passive anti-roll bar system. © 2021 Budapest University of Technology and Economics. All rights reserved.

关键词： Vehicles

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Improving wheelset stability of railway vehicles by using an H∞/LPV active wheelset system

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Periodica Polytechnica Transportation engineering 2021年第3期49卷 261-269页

作者： Vu, Van Tan Tran, Van Da Truong, Manh Hung Sename, Olivier Gaspar, Peter Department of Automotive Mechanical Engineering Faculty of Mechanical Engineering University of Transport and Communications 3 Cau Giay Street Hanoi10000 Viet Nam Université Grenoble Alpes P. O. B. 46 Saint-Martin-d'Hères38402 France Systems and Control Laboratory Institute for Computer Science and Control Hungarian Academy of Sciences Kende u. 13-17 BudapestH-1111 Hungary

The complexity of railway vehicle structures has been part of an evolutionary process for almost two hundred years. Challenges such as increased weight, increased maintenance, higher costs and energy consumption have become common. The vision for future railway vehicles is to reduce complexity, hence enable simpler structures and reduce maintenance and cost, and of course various research challenges arise from this. In fact, a number of papers in the railway engineering literature have presented practical ways to control steering of railway vehicles to improve performance. The model of the railway wheelset is highly nonlinear, mainly due to the nature of the wheelset structure and the related wheel-rail contact forces involved during operation. In this paper, the simplest design in terms of retrofitting, the actuated solid-axle wheelset is considered, we investigate actively controlled wheelsets from a Linear Parameter Varying (LPV) control aspect. We use the grid-based LPV approach to synthesize the H∞/LPV controller, which is self-scheduled by the forward velocity, as well as the longitudinal and lateral creep coefficients. The aim of the controller is to reduce the lateral displacement and yaw angle of the wheelset. Simulation results show that the proposed controller ensures the achievement of the above targets in the considered frequency domain up to 100 rad/s. © 2021 Budapest University of Technology and Economics. All rights reserved.

关键词： controllers

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p-CuGaO2/β-Ga2O3 interfaces: A high-throughput approach for interface prediction and generation for power device applications

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Materials Today Advances 2025年 26卷

作者： Prasad, Chowdam Venkata Park, Jang Hyeok Hoai Ta, Qui Thanh Kim, Kyong Jae Jeon, Ho Jung Mir, Muzaffar Ali Raza, Mohsin Tri, Nguyen Ngoc Kim, Honggyun Labed, Madani Rim, You Seung Department of Semiconductor Systems Engineering and Convergence Engineering for Intelligent Drone Sejong University Seoul05006 Korea Republic of Institute of Semiconductor and System IC Sejong University Seoul05006 Korea Republic of Department of Semiconductor Systems Engineering Sejong University Seoul05006 Korea Republic of Institute of Advanced Technology Vietnam Academy of Science and Technology 1A TL29 Street Thanh Loc Ward District 12 Ho Chi Minh City700000 Viet Nam Lab of Computational Chemistry and Modelling Faculty of Natural Sciences Quy Nhon University Quy Nhon City55100 Viet Nam

This study integrates a p-type copper gallium oxide (p-CuGaO2) interlayer to enhance the performance of β-Ga2O3-based power devices, addressing challenges in achieving reliable p-type doping. The p-CuGaO2 interlayer is expected to improve breakdown voltage (BV) and reduce leakage current, increasing device efficiency and reliability under high-temperature conditions. The heterojunction (HJ) system of β-Ga2O3 and p-CuGaO2 is investigated using density functional theory (DFT) via the Vienna Ab initio Simulation Package (VASP) and experimental methods, focusing on the β-Ga2O3 (001)/p-CuGaO2 (006) interface. Binding energy, electron localization, charge density difference, and electrostatic potential drop are analyzed, identifying Configuration-1 as the optimal configuration due to its high binding energy and favorable structural properties. Annealing temperature impacts the microstructure, stoichiometry, optical, electrical, and transport properties of p-CuGaO2/β-Ga2O3 HJs. Electrical measurements reveal reduced turn-on voltage (Von), on-resistance (Ron), and leakage currents, with the highest BV of 1.62 kV achieved at 800 °C compared to Pt/β-Ga2O3 Schottky barrier diode (SBD). The interface state density (NSS) is evaluated using the high-low frequency approach. Silvaco TCAD simulations explore breakdown mechanisms, demonstrating the potential of p-CuGaO2 for β-Ga2O3 HJ power devices. These findings support the development and manufacture of robust β-Ga2O3 HJ power devices. © 2025 The Authors

关键词： Heterojunctions

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Distributed Event-Triggered Bandit Convex Optimization with Time-Varying Constraints

arXiv

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arXiv 2024年

作者： Zhang, Kunpeng Yi, Xinlei Wen, Guanghui Cao, Ming Johansson, Karl H. Chai, Tianyou Yang, Tao The State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China The Laboratory for Information and Decision Systems Massachusetts Institute of Technology CambridgeMA02139 United States The Department of Mathematics Southeast University Nanjing210096 China The Engineering and Technology Institute Groningen Faculty of Science and Engineering University of Groningen GroningenAG 9747 Netherlands Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Sweden Digital Futures Stockholm10044 Sweden

This paper considers the distributed bandit convex optimization problem with time-varying inequality constraints over a network of agents, where the goal is to minimize network regret and cumulative constraint violation. Existing distributed online algorithms require that each agent broadcasts its decision to its neighbors at each iteration. To better utilize the limited communication resources, we propose a distributed event-triggered online primal-dual algorithm with two-point bandit feedback. Under several classes of appropriately chosen decreasing parameter sequences and non-increasing event-triggered threshold sequences, we establish dynamic network regret and network cumulative constraint violation bounds. These bounds are comparable to the results achieved by distributed event-triggered online algorithms with full-information feedback. Finally, a numerical example is provided to verify the theoretical results. Copyright © 2024, The Authors. All rights reserved.

关键词： Convex optimization

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Design and fabrication of a vigorous“cavitation-on-a-chip”device with a multiple microchannel configuration

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Microsystems & Nanoengineering 2021年第3期7卷 149-161页

作者： Farzad Rokhsar Talabazar Mohammad Jafarpour Merve Zuvin Hongjian Chen Moein Talebian Gevari Luis Guillermo Villanueva Dmitry Grishenkov Ali Koşar Morteza Ghorbani Faculty of Engineering and Natural Science Sabanci UniversityTuzlaIstanbulTurkey Sabanci University Nanotechnology Research and Application Center TuzlaIstanbulTurkey Advanced NEMS Laboratory École Polytechnique Fédérale de Lausanne(EPFL)CH-1015LausanneSwitzerland Department of Biomedical Engineering and Health Systems KTH Royal Institute of TechnologySE-14157StockholmSweden Division of Solid State Electronics Department of Electrical EngineeringTheÅngström LaboratoryUppsala UniversityUppsalaSweden Center of Excellence for Functional Surfaces and Interfaces for Nano-Diagnostics(EFSUN) Sabanci UniversityOrhanliTuzlaIstanbulTurkey

Hydrodynamic cavitation is one of the major phase change phenomena and occurs with a sudden decrease in the local static pressure within a *** the emergence of microelectromechanical systems(MEMS),high-speed microfluidic devices have attracted considerable attention and been implemented in many fields,including cavitation *** this study,a new generation of‘cavitation-on-a-chip’devices with eight parallel structured microchannels is *** new device is designed with the motivation of decreasing the upstream pressure(input energy)required for facile hydrodynamic cavitation *** and a poly(vinyl alcohol)(PVA)microbubble(MB)suspension are used as the working *** results show that the cavitation inception upstream pressure can be reduced with the proposed device in comparison with previous studies with a single flow restrictive ***,using PVA MBs further results in a reduction in the upstream pressure required for cavitation *** this new device,different cavitating flow patterns with various intensities can be observed at a constant cavitation number and fixed upstream pressure within the same ***,cavitating flows intensify faster in the proposed device for both water and the water–PVA MB suspension in comparison to previous *** to these features,this next-generation‘cavitation-on-a-chip’device has a high potential for implementation in applications involving microfluidic/organ-on-a-chip devices,such as integrated drug release and tissue engineering.

关键词： cavitation bubble faster

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Parallel Theaters in CPSS: From Shadows of ISDOS to Intelligence of Decision Theaters

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IEEE/CAA Journal of Automatica Sinica 2025年第6期12卷 1059-1062页

作者： Qinghua Ni Buday Viktória Fei Lin Jun Huang Levente Kovács Nan Zheng Fei-Yue Wang Department of Engineering Science Faculty of Innovation Engineering Macau University of Science and Technology Macau China Innovation Management Doctoral School Obuda University Budapest Hungary John von Neumann Faculty of Informatics Obuda University Budapest Hungary State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China DeSci Center of Parallel Intelligence and the University Research and Innovation Center at Obuda University State Key Laboratory for Management and Control of Complex Systems Chinese Academy of Sciences Beijing China

As Artificial Intelligence (AI) is moving fast from Large Language Models (LLMs) to AI Agents and Agentic Intelligence, the need to incorporate new AI into Decision Intelligence (DI) is becoming more and more urgent for both practical and theoretic reasons: both decision and process complexities would be significantly increased due to the use of advanced AI tools and agents, and both traditional and recent thinking must be rethought and reconstructed accordingly. Our perspective would like to address this important issue based on some historical milestone developments in Computer-Aided Software engineering (CASE) and recent efforts in digital theatrical technology [1].

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Parameter Design of Model Predictive control for the Displacement control of an Axial Piston Pump

Parameter Design of Model Predictive Control for the Displac...

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International Conference on Fluid Power and Mechatronics (FPM)

作者： Tsuyoshi Yamada Kazuhisa Ito Ryo Inada Shibaura Institute of Technology Graduate School of Engineering and Science Saitama Japan Department of Machinery and Control Systems Shibaura Institute of Technology Saitama Japan Hitachi Construction Machinery Co. Ltd. Advanced Development Center Tsuchiura Japan

ISBN: (数字)9798350304947

ISBN: (纸本)9798350304954

The tilt angle control of variable displacement hydraulic pumps is susceptible to changes in dynamic characteristics that depend on operating points and load pressure, and hence high control performance is hard to achieve. In this study, a variable displacement pump without a mechanical feedback mechanism is focused on and its displacement control system is designed using a model predictive control (MPC) method that can consider various design constraints. In particular, the adaptive MPC is introduced for accepting dynamic characteristics change and load pressure. The results clarified that the difference due to the variations in the model order was negligible for the steady-state deviation and settling time; however, the overshoot variation and the average of absolute tracking error could be attenuated using a higher order model for load pressure changes. Furthermore, the settling time and tracking error were considerably reduced by increasing the prediction and control horizons properly.

关键词： Pistons Adaptation models Target tracking Displacement control Pumps Hydraulic systems Trajectory

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Anti-disturbance filter design for a class of stochastic systems with fading channels

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science China(Information sciences) 2020年第11期63卷 327-329页

作者： Yang LIU Zidong WANG Hongli DONG Hongjian LIU College of Electrical Engineering and Automation Shandong University of Science and Technology Department of Computer Science Brunel University London Institute of Complex Systems and Advanced Control Northeast Petroleum University School of Mathematics and Physics Anhui Polytechnic University

Dear editor,As a significant topic in control and signal processing communities, the filtering problem has been attracting persistent research attention in the past few decades [1]. In practical engineering, the parameter perturbations are unavoidable due mainly to exogenous disturbances, environmental changes and some other phenomena.

关键词： Stochastic systems fault detection model uncertainty anti-disturbance fading channel

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