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2024 International Conference on Computer Application and Information Security, ICCAIS 2024

作者： Ren, Yan Wang, Yunjiang Department of Information and Control Engineering Shenyang Institute of Science and Technology Liaoning Shenyang110167 China School of Mechatronics Engineering Shenyang Aerospace University Liaoning Shenyang110136 China

ISBN: (纸本)9781510689312

As science and technology progress, the traditional pressure regulation system is being phased out, and researchers today are focusing on the study of higher precision regulation systems as a crucial task. However, there are still problems with pressure regulation in low pressure areas. In this regard, a high-precision regulation model for low-pressure zone pressure based on neural networks is proposed, which applies the neural system to pressure regulation in low-pressure zones to achieve the purpose of high-precision regulation. Neural network is a computing model that imitates the structure and function of the human brain. It can achieve complex nonlinear mapping and intelligent processing by learning large amounts of data. Applying the nervous system to the field of pressure regulation can adaptively learn the load characteristics of the pressure system, thereby improving the accuracy and stability of load prediction. Real-time monitoring and fault diagnosis can also be performed on the operating status of the pressure system, thereby improving the reliability and safety of the system. And optimize and adjust the control strategy of the pressure system, so as to improve the efficiency and energy saving of the system. Based on this, this paper proposes to combine BP algorithm and particle swarm optimization algorithm to obtain PSOB model. stability. And it can adaptively adjust network parameters and control strategies, adapt to different working conditions and environmental disturbances, and improve control flexibility and intelligence. Historical data and real-time data can also be used for learning and updating to improve control accuracy and prediction capabilities. © The Authors.

关键词： Particle swarm optimization (PSO)

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Effect of Room Temperature Ultrasonic Vibration Compression on the Microstructure Evolution and Mechanical Properties of AZ91 Alloy

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Acta Metallurgica Sinica(English Letters) 2024年第7期37卷 1135-1146页

作者： Ziyue Xu Huan Liu Luyao Li Chao Sun Xi Tan Baishan Chen Qiangsheng Dong Yuna Wu Jinghua Jiang Jiang Ma College of Materials Science and Engineering Hohai UniversityNanjing210000China Suzhou Research Institute of Hohai University Suzhou215000China Shenzhen Key Laboratory of High Performance Nontraditional Manufacturing College of Mechatronics and Control EngineeringShenzhen UniversityShenzhen518060China Institute of Medical Devices(Suzhou) Southeast UniversitySuzhou215163China Institute for Advanced Study Central South UniversityChangsha410083China Jiangsu Key Laboratory of Advanced Structural Materials and Application Technology Nanjing Institute of TechnologyNanjing211167China

To investigate the potential of direct ultrasonic vibration on improving the performance of magnesium alloys,this study first employed the ultrasonic vibration compression(UVC)on the solid solution treated AZ91 alloy,and explored its microstructure evolution and mechanical properties under *** only two seconds,the UVC alloys showed large deformation strains of 34.8–54.4%,and sudden increase of sample temperature to 243℃.Microstructure characterizations proved that UVC promoted the formation of abundant shear bands,fine grains,and the bimodal distribution of Mg17Al12 precipitates consisting of submicron particles located within the shear bands and nano-sized ones within the *** to the unique microstructure,the micro-hardness(and nano-hardness)value of UVC alloy was increased by 37.7%(35%)when compared with the solution-treated ***,the nano-modulus of the developed AZ91 alloy was also significantly increased to 62 GPa by statistical nanoindentation tests,which could be ascribed to increased Mg_(17)Al_(12) precipitates and decreased c/a value to some *** general,this work provides a new insight into the design and preparation of high-performance magnesium alloys by UVC at room temperature.

关键词： AZ91 alloys Ultrasonic vibration compression Precipitation Shear bands Mechanical properties

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A Switching Transient Prediction Method for Wide Band Gap Devices Considering Crosstalk and Temperature Effect

A Switching Transient Prediction Method for Wide Band Gap De...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Huang, Yijie Zhu, Shuangxi Chen, Cai Kang, Yong Yang, Lei Chen, Haiyan Jin, Zhaosheng Huazhong University of Science and Technology School of Electrical and Electronic Engineering Wuhan China Beijing Institute of Precision Mechatronics and Controls BeiJing China Aecc Aero Engine Control System Institute China

ISBN: (纸本)9798350316445

This paper proposes a switching transient prediction method based on the analytical model of switching characteristics, which is suitable for various wide band gap devices, including e-mode GaN, cascode GaN and SiC devices. The proposed model accounts for the effects of crosstalk and temperature. Double pulse test experiments are conducted to test the switching characteristics of wide band gap devices at 25 and 100 , and the accuracy of the analytical model is validated by comparing waveforms. The results demonstrate the ability of the proposed method to predict switching transients of different devices at different temperatures accurately, even in the presence of crosstalk. © 2023 IEEE.

关键词： crosstalk switching model wide band gap device

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Versatile Robotic Workstation for Electronic Skin - Problems and Solutions 10th

Versatile Robotic Workstation for Electronic Skin - Problem...

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Proceedings of the 10th Machine Intelligence and Digital Interaction Conference, MIDI 2022

作者： Klimaszewski, Jan Department of Mechatronics Institute of Automatic Control and Robotics Warsaw University of Technology ul. Sw. A. Boboli 8 Warsaw02-525 Poland

ISBN: (纸本)9783031376481

In the face of the Fourth Industrial Revolution (Industry 4.0), collaborative robots have become one of the key pillars of development. Thanks to their sensors, they allow increased flexibility and safety while working in a shared space with humans. One such sensor is the electronic skin (e-skin), which enhances human-robot collaboration through physical contact. This paper presents the developed versatile robotic workstation that allows, among other things, the calibration of e-skin touch measurements. In particular, the problems encountered with the use of a standard industrial robot are presented and ways to solve them are discussed. The presented approach allows the automatic acquisition of calibration measurements of e-skin sensors within the reach of the robot. © 2023, The Author(s).

关键词： Robot Operating System

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Collaborative Robotics. Safety and Ethical Considerations 10th

Collaborative Robotics. Safety and Ethical Considerations

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Proceedings of the 10th Machine Intelligence and Digital Interaction Conference, MIDI 2022

作者： Różańska-Walczuk, Monika Department of Mechatronics Institute of Automatic Control and Robotics Warsaw University of Technology ul. Św. A. Boboli 8 Warsaw02-525 Poland

ISBN: (纸本)9783031376481

Every year, collaborative robots get closer to humans and cooperation with them takes place not only in industrial spaces, where specialized employees work with them, but also people who do not have knowledge in the field of engineering and robotics. Therefore, great attention is paid to safety in the cooperation of robots and humans. In addition, the aspect of ethics and their ethical behavior towards a human co-worker, companion or petitioner is more and more often taken into account. Knowledge of potential safety hazards is important to secure safety early in robots’ design and development process. Therefore security is one of main issues raised in the article. The most important safety standards from the point of view of collaborative robotics are presented. In the article described example of cobots acting increasingly role as members of our society. Access to them is becoming more and more common - they are household members, waiters or airport staff. Presented in the paper issue of ethics in reference to robots and AI are becoming increasingly significant impact on human. It deals with topics of physical and ethical safety in cooperation between humans and robots. Reference has been made to the safety standards. Due to proximity of technology in humans lives, access to them, and even dependence on them, that issue was particularly emphasized by the author. The paper is source of references to considerations of human safety in robotized environments and ethics in robotics applications. © 2023, The Author(s).

关键词： Collaborative robots

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Proximity Estimation for Electronic Skin Placed on Collaborative Robot Conductive Case 10th

Proximity Estimation for Electronic Skin Placed on Collabo...

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Proceedings of the 10th Machine Intelligence and Digital Interaction Conference, MIDI 2022

作者： Klimaszewski, Jan Bialorucki, Przemyslaw Department of Mechatronics Institute of Automatic Control and Robotics Warsaw Univeristy of Technology ul. Sw. A. Boboli 8 Warsaw02-525 Poland

ISBN: (纸本)9783031376481

One of the key issues in human-machine collaboration is human safety. Safe human-robot interaction can be implemented using an electronic skin (e-skin) that detects the human’s proximity to the collaborative robot (cobot) casing even before the collision with the machine. The detection delay of such a situation should be as small as possible to be able to stop the machine safely. This paper presents an analysis of the results of estimating the proximity of a human to a robot with an electronic skin placed on its surface. The proximity estimation system works by measuring the capacitance of an open capacitor, and the placement of the capacitor on the conductive robot case significantly affects system performance. This paper outlines which parameters have the most important influence on this performance. © 2023, The Author(s).

关键词： Collaborative robots

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NARX Recurrent Neural Network Model of the Graphene-Based Electronic Skin Sensors with Hysteretic Behaviour 10th

NARX Recurrent Neural Network Model of the Graphene-Based ...

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Proceedings of the 10th Machine Intelligence and Digital Interaction Conference, MIDI 2022

作者： Możaryn, Jakub Department of Mechatronics Institute of Automatic Control and Robotics Warsaw Univeristy of Technology ul. Sw. A. Boboli 8 Warsaw02-525 Poland

ISBN: (纸本)9783031376481

The electronic skin described in the article comprises screen-printed graphene-based sensors, intended to be used for robotic applications. The precise mathematical model allowing the touch pressure estimation is required during its calibration. The article describes the recurrent neural network model for graphene-based electronic skin calibration, in which parameters are not homogeneous, and the touch force characteristics have visible hysteretic behaviour. The presented method provides a simple alternative to the models known in the literature. © 2023, The Author(s).

关键词： Recurrent neural networks

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On‑Ramp Merging for Highway Autonomous Driving:An Application of a New Safety Indicator in Deep Reinforcement Learning

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Automotive Innovation 2023年第3期6卷 453-465页

作者： Guofa Li Weiyan Zhou Siyan Lin Shen Li Xingda Qu College of Mechanical and Vehicle Engineering Chongqing UniversityChongqing 400044China Institute of Human Factors and Ergonomics College of Mechatronics and Control EngineeringShenzhen University3688 Nanhai AvenueShenzhen 518060Guangdong ProvinceChina School of Civil Engineering Tsinghua UniversityBeijing 100084China

This paper proposes an improved decision-making method based on deep reinforcement learning to address on-ramp merging challenges in highway autonomous driving.A novel safety indicator,time difference to merging(TDTM),is introduced,which is used in conjunction with the classic time to collision(TTC)indicator to evaluate driving safety and assist the merging vehicle in finding a suitable gap in traffic,thereby enhancing driving *** training of an autonomous driving agent is performed using the Deep Deterministic Policy Gradient(DDPG)*** action-masking mechanism is deployed to prevent unsafe actions during the policy exploration *** proposed DDPG+TDTM+TTC solution is tested in on-ramp merging scenarios with different driving speeds in SUMO and achieves a success rate of 99.96%without significantly impacting traffic efficiency on the main *** results demonstrate that DDPG+TDTM+TTC achieved a higher on-ramp merging success rate of 99.96%compared to DDPG+TTC and DDPG.

关键词： Autonomous driving On-ramp merging Deep reinforcement learning Action-masking mechanism Deep Deterministic Policy Gradient(DDPG)

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Design of a High Efficiency and High Power-Density GaN-Based Microinverter

Design of a High Efficiency and High Power-Density GaN-Based...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Xu, Wenzhe Zhu, Shuangxi Hu, Zhiyi Liu, Teng Du, Mengyao Wen, Jin Chen, Cai Kang, Yong Chen, Haiyan Jin, Zhaosheng Yang, Lei Huazhong University of Science and Technology School of Electrical and Electronic Engineering Wuhan China Aecc Aero Engine Control System Institute Wuxi China Beijing Institute of Precision Mechatronics and Controls Beijing China

ISBN: (纸本)9798350316445

Gallium-Nitride (GaN)-based microinverters play a crucial role in the next generation of highly integrated distributed photovoltaic (PV) systems. The objective of this paper is to propose an effective and practical design process for a 400W natural-cooled GaN-based microinverter with both high efficiency and high power-density. Independent optimizing parameters are proposed, and loss models of key components are established for efficiency optimization. To restrict the selection of optimized parameters, constraints are proposed. Loss calculations are performed, and the results are used to determine the optimal parameters. Accordingly, a prototype is built and experimentally verified, exhibiting a boxed power density of 106 W/in3 and a full load efficiency of 97.08%. © 2023 IEEE.

关键词： GaN High Electron Mobility Transistor (HEMT) high power-density Microinverter Power Decoupling zero voltage switching (ZVS)

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A CUSUM-based adaptive bearing fault features tracking method for RUL estimation

A CUSUM-based adaptive bearing fault features tracking metho...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Yi, Chen-Pei Lin, Yi Jen Ho, Ping-Jui Chung, Wei-Der Chou, Po-Huan Yang, Shih-Chin National Taiwan University Mechanical Engineering Taipei Taiwan Industrial Technology Research Institute Mechatronics Control Department Hsinchu Taiwan Industrial Technology Research Institute Electronic and Optoelectronic Department Hsinchu Taiwan

ISBN: (纸本)9798350316445

This research is goal to develop a non-intrusive motor bearing fault prognostic method for remaining useful life (RUL) estimation. This technique can determine the incipient system fault in the early stage to prevent fatal failure. Considering the difficulty of requiring enough historical data for traditional prognostic methods, this research proposed a novel method with the concept of cumulative summation (CUSUM). It is utilized to select suitable fault characteristics among the sensor data to fuse a health indicator (HI) for RUL prediction. And to track the degradation trend of the HI under high noise, the recursive least square (RLS) method is introduced. Finally, 3 sets of electrical data from a motor with excessively-loaded bearings are used to verify the proposed method. © 2023 IEEE.

关键词： cumulative summation health indicator PMSM Prognostic remaining useful life

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