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17th Annual Conference of China Electrotechnical Society, CES 2022

作者： Yao, Ran Li, Hui Lai, Wei Li, Hanrui Duan, Zeyu Chen, Siyu Chen, ZhongYuan Li, Yaosheng State Key Laboratory of Advanced Power Transmission Technology Beijing Institute of Smart Energy Beijing102209 China State Key Laboratory of Power Transmission Equipment and System Security and New Technology Shapingba District Chongqing400044 China

ISBN: (纸本)9789819904075

Solder layer failure is one of the main failure modes of SiC MOSFET devices within To packaging. In this paper, the solder layer failure simulation and influencing factor analysis of SiC MOSFET devices are carried out based on the multi-physical field finite element modeling method. Firstly, the SiC MOSFET device multi-physical field simulation model is established based on the packaging structure of To-247–3, and the Computed Tomography test obtains the hole distribution of the SiC MOSFET device solder layer. Secondly, The stress distribution of the solder layer during the aging process of SiC MOSFET devices is analyzed, and the failure mechanism of the solder layer of the SiC MOSFET device is studied. Finally, the effect of different solder layer hole sizes on device performance is simulated, and the impact of different ambient temperatures and current levels on the failure performance of the solder layer failure of the SiC MOSFET device is analyzed. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Failure (mechanical)

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Preliminary Development of a Simulation Capability for Zircaloy Clad Ballooning in LOCA

Preliminary Development of a Simulation Capability for Zirca...

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International Conference on Water Reactor Fuel Performance Meeting, WRFPM 2023

作者： Li, A. Wei Wu, B. Xiaoli State Key Laboratory for Strength and Vibration of Mechanical Structures Xi’an Jiaotong University Xi’an710049 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China

ISBN: (纸本)9789819971565

Zircaloy clad is widely known to be vulnerable to ballooning and burst in a loss-of-coolant accident (LOCA) typical of high-temperature steam environment, due to internal and external pressure difference and degraded strength. Ballooning can be detrimental in light of nuclear reactor safety. Due to the large deformation and complex constitute models in the ballooning process, detailed numerical simulation of Zircaloy clad ballooning has long been a challenge. This paper presented a preliminary Finite-Element-Method (FEM) implementation for analyzing Zircaloy clad ballooning. The developed capability can be used to predict progressive clad ballooning up to failure determined by empirical burst limit. Included physic models are currently phase transformation and high-temperature creep. Especially, anisotropic creep was considered for the α phase Zircaloy. The stress update algorithm is implicit in time integration, which ensures relatively large time increment during the simulation. The PUZRY separate effect tests were used to validate the FEM capability. The predicted time to failure (burst) is acceptable when compared with the experimental data. Besides, it was found that the effect of anisotropic coefficients is significant on the prediction of ballooning. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Loss of coolant accidents

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Bi-objective Layout Optimization for Multiple Wind Farms Considering Sequential Fluctuation of Wind Power Using Uniform Design

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CSEE Journal of Power and Energy systems 2022年第6期8卷 1623-1635页

作者： Yinghao Ma Kaigui Xie Yanan Zhao Hejun Yang Dabo Zhang Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving Hefei University of TechnologyHefei 230009China State Key Laboratory of Power Transmission Equipment&System Security and New Technology Chongqing UniversityChongqing 400044China School of Computer Science and Technology at University of Science and Technology of China Hefei 230027China

The fluctuation of wind power brings great challenges to the secure,stable,and cost-efficient operation of the power *** of the time-correlation of wind speed and the wake effect of wind turbines,the layout of wind farm has a significant impact on the wind power sequential *** order to reduce the fluctuation of wind power and improve the operation security with lower operating cost,a bi-objective layout optimization model for multiple wind farms considering the sequential fluctuation of wind power is proposed in this *** goal is to determine the optimal installed capacity of wind farms and the location of wind *** proposed model maximizes the energy production and minimizes the fluctuation of wind power *** improve the accuracy of wind speed estimation and hence the power calculation,the timeshifting of wind speed between the wind tower and turbines’locations is also considered.A uniform design based two-stage genetic algorithm is developed for the solution of the proposed *** studies demonstrate the effectiveness of this proposed model.

关键词： Wind farm layout optimization(WFLO) wind power fluctuation bi-objective optimization uniform design

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Fault Diagnosis Algorithm Based on Lightweight Convolutional Neural Network

Fault Diagnosis Algorithm Based on Lightweight Convolutional...

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UNIfied Conference of International Workshop on Defence Applications of Multi-Agent systems, DAMAS 2023, International Conference on Maintenance Engineering, IncoME-V 2023, International conference on the Efficiency and Performance Engineering Network, TEPEN 2023

作者： Liu, Jiachen Du, Jiaxun Hao, Pengyuan Wang, Huaqing Kong, Dingjie Song, Liuyang School of Mechanical Engineering Beijing University of Chemical Technology Beijing100029 China State Key Laboratory of High-end Compressor and System Technology Beijing University of Chemical Technology Beijing100029 China

ISBN: (纸本)9783031494208

With the development of deep learning technology, many intelligent diagnosis algorithms applied to mechanical equipment operation and maintenance have emerged, but most of these models have complex structure and large amount of calculation, which limits their application prospects. This paper proposes a lightweight convolutional neural network model, which compresses network structure on the premise of ensuring the diagnostic accuracy, providing basis of construction of intelligent diagnosis system. Based on LeNet, the classical convolutional neural network, and the lightweight model Mobile Net, this network model is constructed for bearing fault diagnosis by using deep separable convolution and global average pooling methods. A fault diagnosis experiment of the constructed network was carried out to test diagnosis accuracy of this network and compare it with mainstream models. The experimental results show that the fault diagnosis network used in this paper obtains better diagnosis accuracy under the condition of greatly reducing the parameters. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Failure analysis

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Combined Wind-Storage Frequency Modulation Control Strategy Based on Fuzzy Prediction and Dynamic Control

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Energy Engineering 2024年第12期121卷 3801-3823页

作者： Weiru Wang Yulong Cao Yanxu Wang Jiale You Guangnan Zhang Yu Xiao Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology of the Ministry EducationJilin132012China State Grid Songyuan Electric Power Supply Company Songyuan138000China

To ensure frequency stability in power systems with high wind penetration,the doubly-fed induction generator(DFIG)is often used with the frequency fast response control(FFRC)to participate in frequency ***,a certain output power suppression amount(OPSA)is generated during frequency support,resulting in the frequency modulation(FM)capability of DFIG not being fully utilised,and the system’s unbalanced power will be increased during speed recovery,resulting in a second frequency drop(SFD)in the ***,the frequency response characteristics of the power system with DFIG containing FFRC are ***,based on the analysis of the generation mechanism of OPSA and SFD,a combined wind-storage FM control strategy is proposed to improve the system’s frequency response *** strategy reduces the effect of OPSA and improves the FM capability of DFIG by designing the fuzzy logic of the coefficients of FFRC according to the system frequency index in the frequency support *** the speed recovery stage,the energy storage(ES)active power reference value is calculated according to the change of DFIG rotor speed,and the ES output power is dynamically adjusted to reduce the ***,taking the IEEE 39-bus test system as an example,real-time digital simulation verification was conducted based on the RTLAB OP5707 simulation *** simulation results showthat theproposedmethodcan improve theFMcapabilityofDFIG,reduce the SFDunder thepremise of guaranteeing the rapid rotor speed recovery,and avoid the overshooting phenomenon so that the systemfrequency can be quickly restored to a stable state.

关键词： Doubly-fed induction generator frequency fast response control output power suppression amount frequency response characteristics second frequency drop combined wind-storage

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Integral Real-time Locomotion Mode Recognition Based on GA-CNN for Lower Limb Exoskeleton

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Journal of Bionic Engineering 2022年第5期19卷 1359-1373页

作者： Jiaqi Wang Dongmei Wu Yongzhuo Gao Xinrui Wang Xiaoqi Li Guoqiang Xu Wei Dong State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China Weapon Equipment Research Institute China South Industries Group CorporationBeijing 102202China

The wearable lower limb exoskeleton is a typical human-in-loop human–robot coupled system,which conducts natural and close cooperation with the human by recognizing human locomotion *** subject-specific training is the main challenge of the existing approaches,and most methods have the problem of insufficient *** paper proposes an integral subject-adaptive real-time Locomotion Mode Recognition(LMR)method based on GA-CNN for a lower limb exoskeleton *** LMR method is a combination of Convolutional Neural Networks(CNN)and Genetic Algorithm(GA)-based multi-sensor information *** improve network performance,the hyper-parameters are optimized by Bayesian *** exoskeleton prototype system with multi-type sensors and novel sensing-shoes is used to verify the proposed *** locomotion modes,which composed an integral locomotion system for the daily application of the exoskeleton,can be recognized by the proposed *** to a series of experiments,the recognizer shows strong comprehensive abilities including high accuracy,low delay,and sufficient adaption to different subjects.

关键词： Locomotion mode recognition Gait mode detection Lower limb exoskeleton Convolutional neural network Genetic algorithm Bionic design

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An Autonomous Obstacle Avoidance Path Planning Method Involving PSO for Dual-Arm Surgical Robot 5

An Autonomous Obstacle Avoidance Path Planning Method Involv...

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5th International Conference on Mechatronics, robotics and Automation, ICMRA 2022

作者： Chen, Qiao Liu, Yiwei Chen, Zhuo Zhou, Yangjunjian Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China

ISBN: (纸本)9781665472654

Currently, motion planning and reasonable obstacle avoidance of surgical robots are essential research directions. Most surgical robots adopt a simple master-slave control strategy and cannot avoid obstacles autonomously. To this end, we propose an autonomous obstacle avoidance method for the dual-arm surgical robot. Firstly, the obstacle avoidance path planning is based on the artificial potential field method. We propose the splicing algorithm to make the manipulator jump out of the local minimum and improve the planning efficiency. And using the adaptive step to stable motion. Secondly, for collision detection, we use the Gilbert-Johnson-Keerthi (GJK) algorithm to calculate the distance between the obstacle and the equivalent convex body of the manipulator. A warning appears when there is a collision. Because the artificial potential field method lacks time planning, we use the time-optimized 3-5-3 polynomial interpolation based on the Particle Swarm optimization (PSO) to the obtained path. And make manipulators perform the surgery without collision for a suitable period. Finally, we carry out the system simulation, physical experiments, and dual-arm obstacle avoidance experiments based on the above autonomous obstacle avoidance algorithm. Experiments show that this study can make the dual-arm surgical robot move quickly and smoothly on the premise of avoiding obstacles, which provides a reference for the automation of surgical robots. © 2022 IEEE.

关键词： Motion planning

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Speed Fluctuation Suppression of Current Scaling Errors Based on Improved Iterative Learning Control Method 26

Speed Fluctuation Suppression of Current Scaling Errors Base...

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26th International Conference on Electrical Machines and systems, ICEMS 2023

作者： Mu, Haoyi Yu, Guodong Li, Shaobin Zhu, Pengcheng Xu, Yongxiang School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China State Key Laboratory of Robotics and System Harbin China

ISBN: (纸本)9798350317589

In recent years, there has been a growing demand for high-precision speed control of permanent magnet synchronous motor (PMSM), drawing significant attention to the issue of inherent current measurement errors in drive control. This paper presents a novel approach to mitigate periodic speed fluctuations using an expert system-based iterative learning control (ILC) method. The proposed method employs an expert system to dynamically adjust the weight values of the memory factor during online updates. This ensures the calculated relaxation factor optimally suppresses speed fluctuations across all operating conditions. Furthermore, the stability and parameter tuning aspects are analyzed from the perspective of transfer functions, and the feasibility of the proposed method is demonstrated through simulation. © 2023 IEEE.

关键词： Errors

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Artificial intelligence techniques for stability analysis in modern power systems

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iEnergy 2024年第4期3卷 194-215页

作者： Jiashu Fang Chongru Liu School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengdu 610054China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China

Effective stability analysis is essential for the secure operation of modern power *** smart grids evolve with increased interconnection,renewable energy integration,and electrification,the large-scale deployment of ultra-high voltage AC/DC networks introduces various operational modes and potential fault points,posing significant challenges to maintaining *** analysis and control methods fall short under these *** contrast,emerging artificial intelligence(AI)techniques,combined with real-time data collection,provide powerful tools for enhancing stability analysis in smart *** paper comprehensively explores AI techniques in stability analysis,discussing the necessity and rationale for integrating AI into stability analysis through the lenses of knowledge fusion,discovery,and *** provides a thorough review of current studies on AI applications in stability analysis,addresses key challenges,and outlines future prospects for AI integration,highlighting its potential to improve analytical capabilities in complex power systems.

关键词： Smart grids artificial intelligence deep learning stability analysis.

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Kinematic Parameter Calibration Method of Light Weight Robots Based on Sequence Quadratic Programming Algorithm 12

Kinematic Parameter Calibration Method of Light Weight Robot...

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12th International Conference on CYBER technology in Automation, Control, and Intelligent systems, CYBER 2022

作者： Min, Kang Ni, Fenglei Shu, Xin Ji, Zhu Liu, Hong Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

Kinematic parameter calibration can improve the absolute positioning accuracy of the robot tool center point (TCP). However, the current least-squares (LS) iterative method for calibration is sensitive to noise and ineffective when the Jacobian matrix is close to singular. In addition, the robot kinematic parameter errors cannot be directly compensated because its structure needs to satisfy Pieper's criterion. Thus, a kinematic parameter calibration based on sequence quadratic programming (SQP) algorithm is proposed to solve the above two issues. Firstly, the kinematics and its error model of TCP positions are established. Then, the kinematic parameter errors are identified by SQP algorithm. Finally, the identified kinematic parameter errors are converted into joint angle errors for error compensation. The simulations and experiments are carried out on the self-developed light weight robot. Simulation results show that the proposed calibration method is insensitive to noise. Experimental results reveal that mean positioning accuracy has increased 88.17% and 63.58% than that of the before calibration in sampling and verification regions, respectively. © 2022 IEEE.

关键词： Calibration

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