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第35届中国控制与决策会议

作者： Lixiang Ma Susu Yu Bingyou Liu Anhui Institute of Information Technology College of Electrical Engineering Anhui Polytechnic University Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment Ministry of Education College of Electrical Engineering Anhui Polytechnic University Key Laboratory of Advanced Perception and Intelligent Control of High-End EquipmentMinistry of Education

In order to solve the problems of strong coupling,variable parameters and nonlinearity of permanent magnet synchronous motor(PMSM),an expanded state observer based on error is proposed in this paper to achieve fast response,accurate tracking and strong anti-disturbance control performance of the rotor position and angle of ***,a new nonlinear function is designed to replace the nonlinear function of the extended state observer(ESO) in the traditional active disturbance rejection controller(ADRC).Secondly,based on the improved nonlinear function,the structure of ESO is improved according to the error ***,the position and Angle control system based on PMSM is *** results show that the ADRC based on error ESO has better response speed,tracking accuracy and anti-disturbance performance than the traditional ADRC.

关键词： error extended state observer improved nonlinear function active disturbance rejection control permanent magnet synchronous motor

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Construction and Application of the Teaching Cloud Platform for engineering Drawing Course 12

Construction and Application of the Teaching Cloud Platform ...

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12th IEEE International Conference on Educational and Information Technology, ICEIT 2023

作者： Xue, Yahong Mu, Haozhi Xue, Lijun Tianjin University of Technology Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin300384 China

ISBN: (纸本)9781665475518

A cloud platform for engineering drawing course teaching was proposed based on cloud station. The cloud station can solve the common problems existed in engineering drawing course, such as the difficulty of teaching, the heavy work of tutorship, the poor teaching effect, the weak spatial imagination of students, as well as the current difficulty to develop the virtual model resource base and the interaction is not strong. The platform uses Solidworks software to build 3D model library, and combines with CADbro's powerful cloud service and 3D file viewing function to realize the interaction and sharing with cloud model by using web browser. At the same time, we choose bilibili, a popular cultural site for teenagers, to release the explanation videos of exercises, and make use of the convenient way to build the cloud station to integrate, release and manage the resources. The platform realizes self-study and self-test at anytime and anywhere on both PC and mobile devices, and fast jumps the corresponding explanation video and cloud virtual model according to the demand. The virtual model in the cloud can be rotated, cut, distance measured, exploded, parts hidden, moved, 2D viewed and so on by touch. The platform is innovative, extensible, interesting and practical, which can greatly enhance the students' enthusiasm for independent learning, and it can be used reference to the development of engineering drawing teaching resources. © 2023 IEEE.

关键词： 3D modeling

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An Active Gate Drive Circuit with Variable Gate-off Resistance

An Active Gate Drive Circuit with Variable Gate-off Resistan...

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electrical, Electronic Information and Communication engineering (EEICE), International Conference on

作者： Jintao Yang Qigong Chen Xinchun Wan Yifei Cao Xiaoxin Zhang College of Electrical Engineering Anhui Polytechnic University Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Ministry of Education College of Electrical Engineering Anhui Polytechnic University Wuhu China School of Internet of Things Engineering Jiangnan University Wuxi China

ISBN: (数字)9798331532598

ISBN: (纸本)9798331532604

Compared with silicon-based power devices, silicon carbide (SiC) MOSFETs have the advantages of fast switching speed and low on-state loss, and are widely used in high-efficiency and high-power density fields. To address the problem of voltage overshoot caused by the large induced electromotive force generated on the loop parasitic inductance due to the high di/dt during the turn-off process and the superposition with the bus voltage, an active gate drive circuit with a variable gate turn-off resistance is proposed. By detecting the drain-source voltage of the SiC MOSFET and comparing it with the set voltage protection threshold in the drain-source voltage detection circuit, the resistance value of the gate turn-off resistance is adaptively adjusted to suppress the turn-off overvoltage of the SiC MOSFET under different power loop parasitic inductances. Experimental results show that compared with the traditional drive method, the active gate drive circuit with a variable gate turn-off resistance can adaptively adjust the gate turn-off resistance, thereby suppressing the turn-off overvoltage.

关键词： Resistance MOSFET Inductance Silicon carbide Switching loss Switches Logic gates Threshold voltage Voltage control Switching circuits

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UWB Non-Line-of-Sight Recognition and Suppression Methodology 15

UWB Non-Line-of-Sight Recognition and Suppression Methodolog...

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15th International Conference on Communication Software and Networks, ICCSN 2023

作者： Ni, Zhengshuai Zhou, Haibo Zhang, Guozheng Xu, Wangbei Tianjin University of Technology National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin China School of Mechanical Engineering Tianjin University Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin China

ISBN: (纸本)9798350329360

Ultra-Wide Band (UWB) positioning system has become the main research object in indoor positioning field due to its superior positioning performance. Accuracy at the scale of centimeters is achievable in an ideal positioning scenario. Nonetheless, the intricate and changeable indoor surroundings may cause UWB signals to propagate beyond the line-of-sight (LOS) and weaken in signal strength, resulting in a considerable reduction in the precision of positioning. In this paper, methods for identifying non-line-of-sight (NLOS) errors, alleviating NLOS errors, and integrating multi-sensor information are analyzed and studied to provide reference for improving the NLOS positioning accuracy of UWB. © 2023 IEEE.

关键词： alleviate identify multi-sensor NLOS UWB

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Nonlinear Dynamic Behavior and Vibration Mechanism of a Large Range Rotating Elastic Beam Under Parallel Misalignment Constraints 10

Nonlinear Dynamic Behavior and Vibration Mechanism of a Larg...

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10th International Conference on Advances in Machinery, Material Science and engineering Application, MMSE 2024

作者： Zhao, Lei Xu, Meiye Zhai, Ran Jiao, Likuan Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China School of Mechanic Engineering Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9781643685465

Large rotating flexible machines are prone to vibration at high speeds, which is a difficult engineering problem. In this study, we have deeply explored its nonlinear dynamic behavior and vibration mechanism, especially considering the effect of parallel misalignment. Through mathematical modeling and MATLAB simulations, we found that the rotational speed and the amount of misalignment are the key parameters affecting the stability of the system. The results show that the rotational speed and parallel misalignment are the sensitive parameters of the system. When the amount of misalignment is 0.002 mm, with the increase of rotational speed, the elastic beam exhibits nonlinear M-type vibration, doubly periodic and chaotic behaviors, which show high-frequency abrupt excitation;when the angular speed is 50 rad/s, with the increase of the amount of misalignment from 0.001 mm to 0.1 mm, the system exhibits the transformation of doubly periodic, chaotic and proposed periodic motions, and the characteristics of intermittent vibration are significant. These results provide an important theoretical basis for suppressing its nonlinear vibration. © 2024 The Authors.

关键词： Rotating machinery

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ITD Sample Entropy and Probabilistic Neural Network Bearing Fault Diagnosis Model

ITD Sample Entropy and Probabilistic Neural Network Bearing ...

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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： Wang, Nan Wang, Hongjun Wang, Ze Wang, Liang Zhang, Zhuangzhuang School of Mechanical and Electrical Engineering Beijing Information Science and Technology University Beijing100192 China Key Laboratory of Modern Measurement and Control Technology BISTU Beijing100192 China High-End Equipment Intelligent Perception and Control Beijing International Science and Technology Cooperation Base BISTU Beijing100192 China

ISBN: (纸本)9783031494123

A new fault diagnosis method based on ITD sample entropy and probabilistic neural network is proposed. Firstly, the vibration signal of the equipment is decomposed using intrinsic time-scale decomposition (ITD) to obtain several proper rotation components (PRC) and a trend item that spreads from high frequency to low frequency. Secondly, the components that have a high degree of correlation with the original signal are selected as the research object, and their sample entropy is used as the feature vector. Finally, the feature vector is used to train the probabilistic neural network, and fault identification is performed using the probabilistic neural network. The proposed method is verified using experimental data to accurately identify the type and extent of equipment failure. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Failure analysis

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Design of high-reflectivity dynamic switchable metasurface holography

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Optical and Quantum Electronics 2024年第10期56卷 1-13页

作者： Yang, Zehao Wang, Yunfei Zhu, Qiaofen Xi, Sixing Zhang, Lei Hu, Dan Zhang, Yan School of Mathematics and Physics Science and Engineering Hebei Computational Optical Imaging and Photoelectric Detection Technology Innovation Center Hebei International Joint Research Center for Computational Optical Imaging and Intelligent Sensing Hebei University of Engineering Handan056038 China School of Mechanical and Electrical Engineering Chuzhou University Chuzhou239000 China Department of Physics Beijing Key Laboratory of Metamaterials and Devices Key Laboratory of Terahertz Optoelectronics Beijing Advanced Innovation Center for Imaging Theory and Technology Capital Normal University Ministry of Education Beijing100048 China

In the field of holographic imaging, high-reflectivity metasurfaces have become a crucial technology for achieving high efficiency and high-resolution image reconstruction. This study utilizes the dynamic tunability of magnesium (Mg) to numerically design an optical metasurface capable of displaying multiple holographic images in different states, achieving a reflectivity of up to 82%. In its normal state, the metasurface uses the resonance phase modulation of the metallic Mg structure to display images. Upon the introduction of hydrogen, the Mg transitions to its dielectric state, and a separate gold (Au) structure is used to modulate and display different images. The core contribution of this research lies in the application of a high-reflectivity metal layer, which enhances the imaging effects post-magnesium switching and improves the quality of image display. This work provides a new solution for dynamic optical displays and information storage technologies, thereby expanding the application scope of optical metasurfaces. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Holographic displays

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Backstepping Sliding Mode Control for Flight Attitude of Quadrotor UAVs 8

Backstepping Sliding Mode Control for Flight Attitude of Qua...

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8th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2023

作者： Lin, Lin Huang, Yiqing School of Electrical Engineering Anhui Polytechnic University Anhui Wuhu241000 China Anhui Key Laboratory of Electric Drive and Control Anhui Polytechnic University Anhui Wuhu241000 China Key Laboratory of Advanced Perception and Intellgent Control of High-end Equipment Ministry of Education Anhui Wuhu241000 China

ISBN: (纸本)9781510668331

In order to solve the problem of controlling position and attitude of quadrotor UAVs, The work is carried out from its characteristics of non-linearity, strong coupling and underactuation. The system stability problem when the system is disturbed by external interference is included in the system design and a backstepping sliding mode control strategy is proposed. On this basis, the Lyapunov function is designed to prove the stability of the system theoretically. Through simulation and comparative experiments, It shows that the controller has the characteristics of small tracking error, fast response time and anti-interference. The stability of the system is proved by experiments, which verifies the superiority and effectiveness of the backstepping sliding mode algorithm. © 2023 SPIE.

关键词： System stability

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Dynamic event-triggered mechanism-based resilient H∞ state estimation for neural networks with random parameters and time delays

Dynamic event-triggered mechanism-based resilient H∞ state ...

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Artificial Intelligence and intelligent Manufacturing (AIIM), International Symposium on

作者： Na Li Hongjian Liu Yufei Liu Ran Zhang School of Mathematics-Physics and Finance and the Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Ministry of Education Anhui Polytechnic University Wuhu China School of Electrical Engineering and the Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Ministry of Education Anhui Polytechnic University Wuhu China

The resilient H ∞ state estimation problem is investigated in this paper for a kind of neural networks with random parameters and time delays based on a dynamic event-triggered mechanism, which is employed for the purpose of reducing energy consumption. Under the action of the dynamic event-triggered mechanism, the measurement output is transmitted to the corresponding state estimator only when a certain triggering condition is met. The aim of this paper is to design a resilient state estimator for the delayed neural networks with random parameters such that the dynamics of estimation error system is asymptotically mean-square stable with the specified H ∞ performance requirement. We derive a sufficient condition by using the Lyapunov theory, which guarantees that the estimation error system is asymptotically mean-the given H∞ performance constraint. Then, the gain matrix of the designed state estimator is presented by means of solving a set of linear matrix inequalities. A numerical example is provided to demonstrate the effectiveness of the designed state estimator.

关键词：

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Using deep learning to denoise and detect gravitational waves

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Physical Review D 2024年第6期110卷 063010页

作者： CunLiang Ma ShuoQiu Li Zhoujian Cao Mingzhen Jia School of Information Engineering Jiangxi Province Key Laboratory of Multidimensional Intelligent Perception and Control Ganzhou 341000 China Institute of Applied Mathematics School of Fundamental Physics and Mathematical Sciences Hangzhou Institute for Advanced Study

We have upgraded the MSNRnet framework to MSNRnet-2 by refining the training strategy, drawing inspiration from generative adversarial networks for data generation. The astrophysical discrimination network enforces constraints on the denoising output, ensuring that the “signal+noise” case conforms to an astrophysical-origin shape, while limiting the denoised output of the “noise” case to a nonastrophysical origin shape. This improvement has led to enhanced denoising and astrophysical discrimination performance in most scenarios. For the analysis of confident events, we observed a 1.3% increase in the detection rate. Remarkably, no false triggers were generated during the analysis of the data jointly processed by the Hanford and Livingston interferometers in O3b (about five months of data). These findings suggest that the denoising-discrimination-matched filtering framework holds promising potential for gravitational wave searches in the future.

关键词： Classical black holes General relativity Gravitational waves

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