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9th International Conference on Fluid Power and Mechatronics, FPM 2023

作者： Zhang, Xinyuan Wang, Shaoping Niu, Yu Wu, Xiao Wang, Xingjian Gavrilov, Alex I. School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Tianmushan Laboratory Hangzhou310023 China Ningbo Institute of Technology Beihang University Ningbo315800 China Research Institute of Aero-Engine Beihang University Beijing100191 China Bauman Moscow State Technical University Department of Automatic Control Systems Moscow105005 Russia

ISBN: (纸本)9798350304947

The increased demand for active control of engines has made the study of high-frequency response actuators increasingly important, and actuators based on magnetostrictive materials are promising for a wide range of applications. In this paper, the magnetic field distribution and various thermal losses including Joule heat loss, eddy current loss and hysteresis loss inside the giant magnetostrictive actuator (GMA) are analyzed, and the mathematical model of the current-driven GMA operation is derived, where the new J-A model considering the temperature effect is used to describe the hysteresis nonlinearity of the material. This paper simulates the actuator model under the action of multiple physical fields in COMSOL, focusing on the variation of the output displacement of the actuator when the thermal field and thermal expansion are integrated, and provides the theoretical basis for the design of the GMA control algorithm in the future. © 2023 IEEE.

关键词： Temperature

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design and Analysis of Individually Demagnetized Power Converter for Switched Reluctance Motors

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IEEE Transactions on Transportation Electrification 2025年第3期11卷 8439-8449页

作者： Liu, Hemiao Chen, Hao Wang, Xing Gorbounov, Yassen Wheeler, Patrick Anuchin, Alecksey Demidova, Galina Korovkin, Nikolay Liudmila, Sakhno Shenzhen Research Institute China University of Mining and Technology Shenzhen515100 China School of Electrical Engineering China University of Mining and Technology Xuzhou221116 China Xinjiang Institute of Engineering Xinjiang Urumqi830000 China International Joint Research Center of Central and Eastern European Countries on New Energy Electric Vehicle Technology and Equipment Xuzhou221008 China International Cooperation Joint Laboratory of New Energy Power Generation and Electric Vehicles of Jiangsu Province Colleges and Universities Xuzhou221008 China Xuzhou Key Laboratory of New Energy Electric Vehicle Technology and Equipment Xuzhou221008 China Department of Automation Mining Production University of Mining and Geology St. Ivan Rilski Sofia1700 Bulgaria School of Electrical Engineering University of Nottingham University Park Campus Nottingham United Kingdom Moscow111250 Russia Faculty of Control Systems and Robotics Engineer Saint-Petersburg National Research University of Information Technologies Mechanics and Optics Saint Petersburg197101 Russia Institute of Energy Peter the Great Saint-Petersburg Polytechnic University Saint Petersburg195251 Russia

Switched reluctance motors (SRMs) are capable of operating at high speeds and high loads. However, the large back-EMF results in the excitation winding current being demagnetized more slowly, which in turn reduces the efficiency and output of the motor system. This study proposes a novel individually demagnetization power converter (IDPC) specifically designed for SRMs to effectively utilize the demagnetization energy through an independent demagnetization circuit. Compared with traditional converters, the IDPC can accept direct current (DC) and high-frequency alternating current (AC) inputs while achieving fast demagnetization and energy recovery. The topology and working principle of the IDPC are analyzed in detail in this paper using a three-phase 12/8 SRM as the research object. In addition, the influence of the winding demagnetization voltage on the negative torque during the demagnetization phase was studied, as well as the functional implementation and logic control strategy of the IDPC. Simulation and experimental results confirm the validity of the proposed topology and high-frequency AC drive characteristics, as well as their advantages in terms of efficiency, output capacity and dynamic performance. © 2015 IEEE.

关键词： Reluctance motors

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Power Control of Cascaded Doubly Fed Induction Generator Integrated Into Wind Power Generation System Using Sliding Mode Control

Power Control of Cascaded Doubly Fed Induction Generator Int...

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Renewable Solutions for Ecosystems: Towards a Sustainable Energy Transition (ICRSEtoSET), International Conference on

作者： Ali Mazari Kouider Laroussi Amar Maafa Hamou Ait Abbas Abdelah Kouzou Billel Naceri Laboratory of The Applied and Automation and Industrial Diagnostic University Of Djelfa Djelfa Algeria Department of Electrical Engineering University Of Bouira Bouira Algeria Laboratory of Electrical and Automatic Systems Engineering (LGSEA) University of Bouira Bouira Algeria Laboratory of Identification Commande Control and Communication (LI3CUB) University of Biskra Biskra Algeria

ISBN: (数字)9798350346336

ISBN: (纸本)9798350346343

This paper aims to study the performance of combining two doubly fed induction generators (DFIG) without changing their design, therefore the benefit of eliminating the brushes. The sliding mode control (SMC) is used for controlling the active and reactive powers for the cascaded doubly fed induction generator (CDFIG) integrated into wind power generation system (WPGS). Additionally, the system incorporates a maximum power point tracking strategy (MPPT) to optimize energy generation and a pitch control mechanism for the wind turbine's blades to adjust to changing wind conditions.

关键词： Maximum power point trackers Wind energy generation Brushes Uncertainty Wind speed Power control Doubly fed induction generators

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Determination of the Characteristics of Gears of Robot-Like systems by Analytical Description of their Structure

Determination of the Characteristics of Gears of Robot-Like ...

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IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)

作者： Stefan Landler Raúl Molina Blanco Michael Otto Birgit Vogel-Heuser Markus Zimmermann Karsten Stahl Technical University of Munich Germany TUM School of Engineering and Design Department of Mechanical Engineering Munich Institute of Robotics and Machine Intelligence (MIRMI) Institute of Machine Elements Gear Research Center (FZG) Institute of Automation and Information Systems (AIS) Laboratory for Product Development and Lightweight Design (LPL)

The axes of robots and robot-like systems (RLS) usually include e-motor-gearbox-arrangements for optimal connection of the elements. The characteristics of the drive system and thus also of the robot depend strongly on the gears. Different gearbox designs are available which differ in stiffness, efficiency and further properties. For an application-optimal design of RLS a uniform documentation and a comparability of gearbox concepts is a decisive factor. The application-optimal design is supported by an interdisciplinary approach between mechanical engineering and software design, guided by adequate product development methodology. The quite heterogeneous characterization of gearboxes for RLS which is currently the state of the art is a relevant obstacle in the flexible and optimal design of RLS. The paper shows the analysis of the gear structure with unified symbols for specific machine elements and contact types. The introduced method gives insight into the mechanical structure of the gearboxes. Similarities between gear types can thus be revealed. This also enables the classification of new developments in the state of the art. Moreover, the developed method for analyzing the gear structure can be used to determine the characteristics of gears. Examples for these characteristics are backlash, efficiency or stiffness. Specifically, the stiffness of gears can be synthesized by the force action of individual contacts and the individual phenomena that occur with them. The representation by individual phenomena also makes it possible to extend the calculation to include influencing parameters such as temperature that have not been sufficiently taken into account so far.

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UW-DNeRF: Deformable Soft Tissue Reconstruction with Uncertainty-Guided Depth Supervision and Local Information Integration

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IEEE Transactions on Medical Imaging 2025年 PP卷 PP页

作者： Shan, Jiwei Zhang, Zixin Li, Hao Hsieh, Cheng-Tai Li, Yirui Wu, Wenhua Wang, Hesheng School of Electronic Information and Electrical Engineering of Shanghai Jiao Tong University Shanghai200240 China Shanghai Jiao Tong University School of Mechanical Engineering Shanghai200240 China Shanghai Jiao Tong University State Key Laboratory of Avionics Integration and Aviation System-of-Systems Synthesis Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai200240 China

Reconstructing deformable soft tissues from endoscopic videos is a critical yet challenging task. Leveraging depth priors, deformable implicit neural representations have seen significant advancements in this field. However, depth priors from pre-Trained depth estimation models are often coarse, and inaccurate depth supervision can severely impair the performance of these neural networks. Moreover, existing methods overlook local similarities in input sequences, which restricts their effectiveness in capturing local details and tissue deformations. In this paper, we introduce UW-DNeRF, a novel approach utilizing neural radiance fields for high-quality reconstruction of deformable tissues. We propose an uncertainty-guided depth supervision strategy to mitigate the impact of inaccurate depth information. This strategy relaxes hard depth constraints and unlocks the potential of implicit neural representations. In addition, we design a local window-based information sharing scheme. This scheme employs local window and keyframe deformation networks to construct deformations with local awareness and enhances the model's ability to capture fine details. We demonstrate the superiority of our method over state-of-The-Art approaches on synthetic and in-vivo endoscopic datasets. Code is available at: https://***/IRMVLab/UW-DNeRF. © 2025 IEEE.

关键词： Endoscopy

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A Comparison Analysis between Two and Three Levels Inverter to Grid-Connected Used the Photovoltaic System

A Comparison Analysis between Two and Three Levels Inverter ...

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Electronics, Energy and Measurement (IC2EM), International Conference on

作者： Fayçal Hadj Mihoub Sidi Moussa Abdelkader Morsli Abdelhalim Tlemçani Hocine Belmili Hassan Nouri Electrical Engineering and Automation Research Laboratory (LREA) University of Medea Medea Algeria Renewable Energy Development Center (CDER) Bou-Ismail Solar Equipment Development Unit (UDES) Tipaza Algeria Department of Engineering Design and Mathematics Power Systems Electronics and Control Research Group Bristol U.K.

This article presents a comparative study of two topologies of three-phase photovoltaic inverters connected to the grid, between the usual two-level inverter and three-level NPC (Neutral Point Clamped) inverter. Inverter control and the boost converter MPPT controller are based on the SRF-dq method and the INC algorithm respectively. The comparison relies on evaluating the overall efficiency and harmonic distortion of the inverter. All circuits are modeled and simulated using Matlab-Simulink. The results obtained indicate satisfaction with the quality, of the current and voltage injected into the electrical grid, and reflect that both inverters are efficient and comply with IEEE-519 standard recommendations, but the three-level inverter performs better results than the two-level inverter.

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Load peak-valley shape clustering and drift analysis for improving temporal pattern representation

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Sustainable Energy, Grids and Networks 2025年 43卷

作者： Ma, Yiwei Shen, Yimeng Tang, Xianlun Yan, Dong School of Automation Chongqing University of Posts and Telecommunications Chongqing400065 China Department of Electrical Engineering School of Automation and Industrial Internet Chongqing University of Posts and Telecommunications Chongqing400065 China Chongqing Key Laboratory of Complex Systems and Bionic Control Chongqing University of Posts and Telecommunications Chongqing400065 China

Load shape pattern clustering is an important foundation for developing appropriate tariff design and load management to achieve more economical and reliable benefits. However, the existing load shape pattern clustering methods mainly focus on the whole load shape and various clustering algorithms, which do not consider the peak-valley shape features and distribution drift issue of the load shapes. Therefore, peak-valley shape pattern clustering and drift measurement of daily load shapes are proposed to solve this problem. To accurately reveal the peak-valley electricity consumption behaviors, load peak-valley shape models and a hybrid distance measurement are proposed to obtain more representative temporal patterns that have more compact peak-valley shape distributions. Moreover, two measurement models for power drift and time drift are proposed to analyze the significant drift problem between daily load peak-valley shape patterns. The results showed that the proposed method outperformed other methods, as it not only achieved the best clustering effectiveness scores, such as DBI, WAS, CHI, SC, and DI scores of 0.5537, 0.2633, 502.3634, 0.8872, and 1.4730, respectively, but also accurately obtained the time drift values between different modes, such as the maximum backward shift of the two peak times by 90 and 150 minutes, and the maximum backward shift of the valley time by 45 and 60 minutes, respectively. © 2025 Elsevier Ltd

关键词： Clustering algorithms

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Optimizing Generative AI Networking: A Dual Perspective with Multi-Agent systems and Mixture of Experts

arXiv

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arXiv 2024年

作者： Zhang, Ruichen Du, Hongyang Niyato, Dusit Kang, Jiawen Xiong, Zehui Zhang, Ping Kim, Dong In The College of Computing and Data Science Nanyang Technological University Singapore The School of Automation Guangdong University of Technology China The Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore The State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications China The Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of

In the continued development of next-generation networking and artificial intelligence content generation (AIGC) services, the integration of multi-agent systems (MAS) and the mixture of experts (MoE) frameworks is becoming increasingly important. Motivated by this, this article studies the contrasting and converging of MAS and MoE in AIGC-enabled networking. First, we discuss the architectural designs, operational procedures, and inherent advantages of using MAS and MoE in generative AI to explore its functionality and applications fully. Next, we review the applications of MAS and MoE frameworks in content generation and resource allocation, emphasizing their impact on networking operations. Subsequently, we propose a novel multi-agent-enabled MoE-proximal policy optimization (MoE-PPO) framework for 3D object generation and data transfer scenarios. The framework uses MAS for dynamic task coordination of each network service provider agent and MoE for expert-driven execution of respective tasks, thereby improving overall system efficiency and adaptability. The simulation results demonstrate the effectiveness of our proposed framework and significantly improve the performance indicators under different network conditions. Finally, we outline potential future research directions. © 2024, CC BY.

关键词： Multi agent systems

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Constrained Probabilistic Pareto Dominance for Expensive Constrained Multiobjective Optimization Problems

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IEEE Transactions on Evolutionary Computation 2024年 1-1页

作者： Zhang, Zhiyao Wang, Yong Sun, Guangyong Pang, Tong Tang, Ke School of Automation Central South University Changsha China State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle Hunan University Changsha China Guangdong Key Laboratory of Brain-Inspired Intelligent Computation Department of Computer Science and Engineering and the Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Shenzhen China

This paper proposes a new parameterless constraint-handling technique, named constrained probabilistic Pareto dominance (CPPD), for expensive constrained multiobjective optimization problems (CMOPs). In CPPD, when comparing two solutions, in terms of each original objective, we design a new objective for each solution, which is the negative product of two probabilities calculated based on the predicted fitness mean values and the uncertainty information provided by Kriging models: 1) the probability that this solution satisfies all constraints, denoted as PoF, and 2) the probability that this solution is better than the other on the original objective, denoted as PoB. It is evident that for each solution, PoF and PoB indicate its feasibility and its optimality on the corresponding original objective, respectively. Then, Pareto dominance based on new objectives is executed. As a result, both competitive feasible solutions and promising infeasible solutions with good diversity can be preserved by CPPD. These two kinds of solutions can help the population to exploit the located feasible parts and to explore new feasible parts, respectively. Further, based on CPPD, we develop a Pareto-based Kriging-assisted constrained multiobjective evolutionary algorithm (called PEA) to deal with expensive CMOPs with two or three objectives. Finally, PEA is generalized to solve expensive constrained many-objective optimization problems, named PEA+. The effectiveness of CPPD, PEA, and PEA+ is verified by comprehensive experiments. IEEE

关键词： Evolutionary algorithms

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design and Analysis of a Knee Exoskeleton with Self-alignment Capability

Design and Analysis of a Knee Exoskeleton with Self-alignmen...

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International Conference on Mechatronics and Machine Vision in Practice (M2VIP)

作者： Huijuan Lu Tingting Su Guotao Li Xu Liang Shengda Liu Wendong Xiao Shoulie Xie Jie Zhang Guangping He Department of Mechanical and Electrical Engineering North China University of Technology Beijing China Faculty of Information Technology Beijing University of Technology Beijing China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Automation and Intelligence Beijing Jiaotong University Beijing China School of Automation and Electrical Engineering University of Science and Technology Beijing China Institute for Infocomm Research A*Star Singapore

ISBN: (数字)9798350391916

ISBN: (纸本)9798350391923

The knee exoskeleton can assist patients for knee rehabilitation exercises. In this paper, a novel knee exoskeleton with self-alignment capability is proposed. First, the structure of the knee exoskeleton is designed, which has one active and four passive joints. The four passive joints are used to realize the self-alignment function of the knee exoskeleton. Second, the kinematic model is established and analysed. Third, simulations are conducted to validate the rotation ranges of human knee and hip joints. The simulation results demonstrate that the knee exoskeleton can meet the rehabilitation needs of the patients.

关键词： Training Mechatronics Simulation Pulleys Machine vision Exoskeletons Kinematics Hip

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