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The development of high performance in hybrid sic power integrated module (Pim)

The development of high performance in hybrid sic power inte...

International Exhibition and Conference for Power Electronics, intelligent Motion, renewable Energy and Energy Management, PCIM Europe 2020

作者： Chang, J.Y. Fun, S.Y. Wu, S.T. Leu, F.J. Lo, Y.Y. Chiu, P.K. Yu, T.J. Wu, H.L. Han, W.K. Tzeng, C.M. Hsu, S.F. Kao, K.S. Lin, H.H. Chang, T.C. Yamauchi, S. Anai, K. Jo, J.L. Sakaue, T. Intelligent Power Module & System Department Electronics and Optoelectronics system Research Laboratories Industrial Technology Research Institute Taiwan Engineered Materials Sector R&D Center Mitsui Mining & Smelting Co. Ltd Japan

ISBN: (纸本)9783800752454

due to wide bandgap electronic with high-speed exchange rate can efficiently improve the dynamic characteristics of the machine tool system. The high thermal conductivity of SiC can be applied to more than 10 kW of high power systems, which made it highly efficient, high temperature resistant and reliability. In this study, 1200V/100A hybrid SiC power integrated module (PIM) was designed and manufactured in ITrI. Through the thermal, electrical and stress simulation, the power module was designed to meet the function improvement and reliability. This study accomplished the different height of multi-chip simultaneous Cu sintering. © VdE VErLAG GMBH · Berlin · Offenbach.

关键词： Silicon carbide

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Interaction design between Train Master control Unit and ETBN and SdTv2 Application

Interaction Design between Train Master Control Unit and ETB...

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IEEE International Conference on intelligent Transportation Engineering (ICITE)

作者： Zhaoling Gao Wei Wang Haoshang Zhou demin Wang School of Intelligence and Electronic Engineering Dalian Neusoft University of Information DaLian China State Key Laboratory for Traction and Control System of EMU and Locomotive CRRC Dalian Electric Traction R&D Center Co. Ltd. DaLian China

At present, the train level network control communication mostly adopts the twisted Wire Train Bus (WTB) cable transmission. But its speed is slow and the amount of transmitted data is small, so it is difficult to meet the current requirements. Therefore, the high-speed and large amount of industrial Ethernet communication will become the mainstream of the future train level network control communication. It will research the train level network control communication based on the Train real-time data Protocol (TrdP) in combination with the requirements of the research project-200 km/h power centralized Electric Multiple Unit (EMU), and compare the international standards and the national standards of China in this paper. It will adopt the method of combining process data and message data to realize the data interaction requirements between the central control unit and the Ethernet Train Backbone Node (ETBN), acquire relevant data of Ethernet Train Backbone (ETB) nodes and vehicle formation information of the whole vehicle, and further acquire control data of the multiple connected vehicles. At the same time, transmit the control data and message data of the own vehicle to the multiple connected vehicles, so as to realize interconnection and mutual control between multiple connected vehicles. In order to improve the correctness and real-time of data transmission, it introduced the Secure data Transmission protocol version2(SdTv2) for communication between the central control unit and other equipment in this project, and completed the interconnection test with the Ethernet card of Swiss duagon company to ensure the safety and reliability of important data.

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Hard Sample Matters a Lot in Zero-Shot Quantization

arXiv

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arXiv 2023年

作者： Li, Huantong Wu, Xiangmiao Lv, Fanbing Liao, daihai Li, Thomas H. Zhang, Yonggang Han, Bo Tan, Mingkui South China University of Technology China Changsha Hisense Intelligent System Research Institute Co. Ltd China Hong Kong Baptist University Hong Kong Key Laboratory of Big Data and Intelligent Robot Ministry of Education China PengCheng Laboratory China Information Technology R&D Innovation Center of Peking University China School of Electronic and Computer Engineering Peking University Shenzhen Graduate School Shenzhen China

Zero-shot quantization (ZSQ) is promising for compressing and accelerating deep neural networks when the data for training full-precision models are inaccessible. In ZSQ, network quantization is performed using synthetic samples, thus, the performance of quantized models depends heavily on the quality of synthetic samples. Nonetheless, we find that the synthetic samples constructed in existing ZSQ methods can be easily fitted by models. Accordingly, quantized models obtained by these methods suffer from significant performance degradation on hard samples. To address this issue, we propose HArd sample Synthesizing and Training (HAST). Specifically, HAST pays more attention to hard samples when synthesizing samples and makes synthetic samples hard to fit when training quantized models. HAST aligns features extracted by full-precision and quantized models to ensure the similarity between features extracted by these two models. Extensive experiments show that HAST significantly outperforms existing ZSQ methods, achieving performance comparable to models that are quantized with real data. Copyright © 2023, The Authors. All rights reserved.

关键词： deep neural networks

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Mechanism and Influencing Factor Analysis of High Frequency Oscillation in PMSG-Based Wind Farm With Grid-Connected system

Mechanism and Influencing Factor Analysis of High Frequency ...

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IEEE International Conference on Energy Internet (ICEI)

作者： Chao Luo Yihua Zhu Libin Huang Jiawei Yu State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China

Under the background of vigorously developing wind power, permanent magnet synchronous generator (PMSG)-based wind turbines have been widely used in offshore wind farms. However, the high frequency oscillations (HFOs) of PMSG-based wind farms with grid-connected system have occurred frequently in recent years, which have a bad impact on the safe and stable operation of the power system. And current researches only preliminarily reveal the mechanism, which are lacking in discussion on the key factors involved in HFOs. This paper establishes the high frequency impedance model of PMSG-based wind farm with grid-connected system. To identify the key factors involved in HFO, the impedance sensitivity method is used to obtain the quantitative relationship of the influence of each parameter on HFO. It can be concluded that the control delay, LCL filter parameters, collector lines parameters have the greatest influence on the HFO of the wind farm, but the characteristic of negative resistance caused by control delay is the root cause of HFO. Finally, this paper establishes the model of PMSG-based wind farm with grid-connected system on the PSCAd/EMTdC and verifies the correctness of the theoretical analysis. The conclusions of this paper can provide a reference basis for the mitigation strategies of HFOs.

关键词： Wind energy generation Analytical models Sensitivity Wind farms Hafnium oxide Synchronous generators delays

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Visual Module r&d of the intelligent Grabbing system of WIFI Module

Visual Module R&D of the Intelligent Grabbing System of WIFI...

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International Conference on Application of intelligent systems in Multi-modal Information Analytics, MMIA 2020

作者： Ma, Shufang Wu, Jiang Jiao, Shuangben Xue, Bin Engineering and Technology R&D Center of Mechanical and Electrical in Colleges of Shandong Qingdao Binhai University QingdaoShandong266555 China School of Mechanical and Electrical Engineering Qingdao Binhai University QingdaoShandong266555 China Qingdao Zhongzhuang Vision Automation System Control Co. Ltd. QingdaoShandong266555 China

ISBN: (纸本)9783030514303

WiFi module intelligent grabbing system based on visual guidance is established by taking MV-CH120-10GM industrial camera and Siemens S7-200smartPLC as the hardware basis designated to realize identification and positioning grabbing of WiFi module. Hardware selection and imaging processing is studied based on visual module, and visual identity and positioning algorithm is developed by taking VisionPro9.0 as the platform. Meanwhile, logical judgment on imaging processing result is carried out by using the software Vision Studio C#. Besides, visual windows is used for inspecting image and data display. Through experimental verification, it is ultimately indicated that the visual algorithm features higher identification and positioning accuracy and satisfies the requirements of the grabbing system. © 2021, Springer Nature Switzerland AG.

关键词： Computer vision

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Automatic visual inspection system for injection molding parts of automobile center console

Automatic visual inspection system for injection molding par...

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International Conference on Application of intelligent systems in Multi-modal Information Analytics, MMIA 2020

作者： Chi, Wenqing Xue, Bin Li, Xiaofei Zhang, Yuhang Jiao, Shuangben Engineering and Technology R&D Center of Mechanical and Electrical in Colleges of Shandong Qingdao Binhai University QingdaoShandong266555 China School of Mechanical and Electrical Engineering Qingdao Binhai University QingdaoShandong266555 China Qingdao Zhongzhuang Vision Automation System Control Co. Ltd. QingdaoShandong266555 China

ISBN: (纸本)9783030515553

For the pattern position deviation and installation error detection of injection molding parts in the automobile center console, the traditional method is to use the secondary dimensional detection equipment, which has low detection efficiency and can only realize sampling detection. In order to solve this problem, a detection method based on machine vision is proposed, which uses 4 K linear array camera with linear light source to collect the image, and the collected image is transmitted to the computer for processing. The image processing is carried out on the VisionPro 9.0 software platform. Firstly, the image of the injection molding part is corrected and the coordinate is located by the method of extracting the feature points from the image mask. Then, the script programming is used to judge. Finally, the detection of the pattern position deviation and installation error prevention on the injection molding part is realized, and the result information is displayed on the computer. Through the operation test, the accuracy of the system reaches 0.05 mm, the detection cycle is 6–10 s, the detection rate is 99.9%, the efficiency is increased by 50 times, the quality is improved by 80%, and the problems existing in the detection of the secondary detection equipment are effectively solved. © Springer Nature Switzerland AG 2021.

关键词： Computer vision

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Physics-Guided Hierarchical reward Mechanism for Learning-Based robotic Grasping

arXiv

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arXiv 2022年

作者： Jung, Yunsik Tao, Lingfeng Bowman, Michael Zhang, Jiucai Zhang, Xiaoli Colorado School of Mines Intelligent Robotics and System Lab GoldenCO80401 United States Cancer Biology Department of University of Pennsylvania the Bowman Lab PhiladelphiaPA19104 United States GAC R&D Center Silicon Valley SunnyvaleCA94085 United States

Learning-based grasping can afford real-time grasp motion planning of multi-fingered robotics hands thanks to its high computational efficiency. However, learning-based methods are required to explore large search spaces during the learning process. The search space causes low learning efficiency, which has been the main barrier to its practical adoption. In addition, the trained policy lacks a generalizable outcome unless objects are identical to the trained objects. In this work, we develop a novel Physics-Guided deep reinforcement Learning with a Hierarchical reward Mechanism to improve learning efficiency and generalizability for learning-based autonomous grasping. Unlike conventional observation-based grasp learning, physics-informed metrics are utilized to convey correlations between features associated with hand structures and objects to improve learning efficiency and outcomes. Further, the hierarchical reward mechanism enables the robot to learn prioritized components of the grasping tasks. Our method is validated in robotic grasping tasks with a 3-finger MICO robot arm. The results show that our method outperformed the standard deep reinforcement Learning methods in various robotic grasping tasks. © 2022, CC BY-NC-Nd.

关键词： reinforcement learning

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research on Obstacle Avoidance Technology for Unmanned Aerial Vehicles Based on Panoramic Visual Perception

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Journal of Computers (Taiwan) 2024年第3期35卷 345-361页

作者： Jiang, Xiao-Yan Han, Mei Zhang, Jun-Kai Wu, Xiao-Fei Zhang, Xiao-Yang Hebei Institute of Mechanical and Electrical Technology Hebei Province Xingtai City054000 China Hebei Province Mechanical and Electrical Equipment Intelligent Sensing and Advanced Control R&D Center Hebei Province Xingtai City054000 China

With the continuous increase of market demand, the application of low altitude rotary wing unmanned aerial vehicles is becoming increasingly widespread, and the requirements for active obstacle avoidance ability and endurance time are also increasing. This article focuses on the active obstacle avoidance technology of drones. The panoramic camera is installed on the drone. For the collected multi camera images, the first step is to perform stitching processing. The improved SUrF algorithm is used to process the overlapping defects after image stitching. Then, the image is weighted and fused using the arc function weighted fusion image stitching algorithm to remove the stitching gaps. The fused image is used as input, and the improved YOLOv8 model is used as the target recognition model. After analyzing the basic performance of the model, in order to improve the algorithm’s lightweight level, the LAd calculation rule is integrated into the algorithm. Then, the EMA attention mechanism is added to improve the model’s recognition ability for specific obstacles, and depth separable convolution is added to enhance the algorithm’s ability to extract target features. Finally, an experimental environment was established, and through simulation experiments, the method proposed in this article improved the average recognition accuracy of obstacles by 2.3% while ensuring the endurance of the drone. © 2024 Codon Publications. All rights reserved.

关键词： drones

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Optimized functional design and simulation study of the fault line selection devices for non-solidly earthed network based on rTdS 9

Optimized functional design and simulation study of the faul...

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9th China International Conference on Electricity distribution, CICEd 2021

作者： Haiqing, Cai Qi, Guo Zhida, Huang Shiping, Liu Wencong, Wu Jiang, Yu Libin, Huang Zebing, Shi Shuyong, Li Electric Power Research Institute China Southern Power Grid State Key Laboratory of HVDC China National Energy Power Grid Technology R&D Centre Guangzhou510663 China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou510663 China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou510663 China Electric Power Research Institute of State Grid Jiangxi Electric Power Company Nanchang330096 China CSG Power Dispatch Control Center Guangzhou510663 China

ISBN: (纸本)9781728192291

The action accuracy of the fault line selection device is of great significance for ensuring the safe operation of the power system and personal safety. In view of the current imperfect function and the low accuracy of the small current grounding line selection device, the function of line selection of the device is further optimally designed and studied, and the post-acceleration and wheel-cutting functions are put forward and realized. The rTdS simulation model of non-solidly earthed network is established and connected with the actual grounding line selection device to form a closed-loop real-time simulation testing system. By setting up various test items, different types of ground fault test of non-solidly earthed net-work are carried out. The results of simulation show the accuracy of the line selection function, which provides important technical guidance for the implementation of the fault line selection device. © 2021 IEEE.

关键词： Electric grounding

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Closed-loop Simulation Method of Stability control system Based on Virtual Component Technology

Closed-loop Simulation Method of Stability Control System Ba...

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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Qinfeng Ma Yihua Zhu Mingshun Liu dongxu Chang Qingxin Pu Chengxiang Li Power Dispatching Control Center of Guizhou Power Grid Co. Ltd Guizhou China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China

The stability control system is an important means to ensure the safe and stable operation of the power system. In view of the shortcomings of the existing offline/real-time simulation test methods, a closed-loop simulation scheme based on virtual component technology is proposed. The virtual component technology of the stability control device is researched, and the virtualization method of the external hardware interface of the device is designed. On this basis, a closed-loop simulation framework of the stability control system under the offline/real-time simulation test environment is proposed. The functional logic of each component under the framework are analyzed. The calculation and feedback process of the entire closed-loop simulation system are analyzed in depth, which effectively solves the difficulty of simulation analysis and test verification of large-scale stability control system, providing a new method for the research and verification of stability control system strategy.

关键词： Analytical models Process control system integration Power system stability control systems Stability analysis Hardware

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