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2022 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2022

作者： Wei, Xiaocheng Yan, Liang Zhang, Lu Jin, Zijian Wang, Jin Su, Hang Quan, Xiao Ningbo Institute of Technology Beihang University Ningbo China School of Automation Science and Electrical Engineering Beihang University Beijing China Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China

ISBN: (数字)9781839537769

ISBN: (纸本)9781839537769

The dual three-phase motor can ensure the continuous operation of the motor under the condition of single-phase open circuit. This paper will mainly focus on exploring the fault handling and operation methods of dual three-phase motor under the condition of single-phase open circuit. Based on the analysis of motor fault operation, this paper proposes an average current detection method based on threshold judgment. Through this method, the single-phase open circuit fault can be detected and processed within 2 cycles, which allow system to handle the fault rapidly and reduce the impact of the fault, thus the reliability and operation stability of the motor drive system can be improved. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Fault detection

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ANALYSIS AND SIMULATION OF TYPICAL FAULTS OF ELECTRO-HYDRAULIC PROPORTIONAL SERVO VALVE

ANALYSIS AND SIMULATION OF TYPICAL FAULTS OF ELECTRO-HYDRAUL...

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2022 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2022

作者： Zhang, Runzhi Wang, Xingjian Zhang, Yuwei Li, Jiatong Wang, Jun School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Ningbo Institute of Technology Beihang University Ningbo315800 China Beijing Institute of Automatic Control Equipment Beijing100074 China

ISBN: (数字)9781839537769

ISBN: (纸本)9781839537769

In this paper, the simulation of three typical faults of electro-hydraulic proportional servo valve is presented, and the physical model of servo valve and its faults is constructed by AMESIM software. Electro-hydraulic proportional servo valve has high steady-state accuracy, excellent dynamic performance, stability and reliability, and has been gradually applied in the control field. Therefore, higher requirements are put forward for real-time state monitoring and typical fault research of electro-hydraulic proportional servo valve. In this paper, aiming at the requirement of real-time monitoring of the servo valve, the mathematical model of three typical faults, such as stuck, spool wear and zero deviation, is sought, and the feasibility of the model is verified through simulation. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Computer software

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Robust PD-type iterative learning control design for uncertain batch processes subject to nonrepetitive disturbances 41

Robust PD-type iterative learning control design for uncerta...

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第41届中国控制会议

作者： Robert Maniarski Wojciech Paszke Shoulin Hao Hongfeng Tao Institute of Automation Electronic and Electrical EngineeringUniversity of Zielona Góra Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper develops PD-type iterative learning control schemes for a class of uncertain batch processes subject to nonrepetitive *** means of two-dimensional/repetitive setting,the sufficient conditions for batch-to-batch error convergence and H disturbance attenuation are formulated and ***,the procedure for computing the desired control law matrices is formulated in terms of solvability of linear matrix *** proposed control law is able to fulfil the imposed design specifications,i.e.,they are suitable for the batch processes with time-varying uncertainties as well as non-repetitive *** illustrative example is used to validate the proposed control scheme and demonstrates a possible applicability of the developed results.

关键词： iterative learning control repetitive processes batch processes robust control nonrepetitive disturbances

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Health assessment method for core components of switching quantity interface circuit based on active excitation test 14

Health assessment method for core components of switching qu...

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14th International Conference on Reliability, Maintainability and Safety, ICRMS 2023

作者： Xu, Peiyang Jia, Long Ma, Jian Chen, Chang Chen, Wei Lan, Chunyun Zou, Xinyu Li, Tianhao Science & Technology on Reliability & Environmental Engineering Laboratory School of Reliability and Systems Engineering Beihang University Beijing China School of Automation Science and Electrical Engineering Beijing Aerospace Institute of Automatic Control Beihang University Beijing China Science & Technology on Reliability & Environmental Engineering Laboratory School of Reliability and Systems Engineering Institute of Reliability Engineering Beihang University Beijing China Beijing Aerospace Institute of Automatic Control Beijing China

ISBN: (纸本)9798350329988

As power electronics technology continues to advance, the prevalence of switching quantity interface circuits has grown in diverse domains, encompassing industrial production and everyday civilian applications. An analysis of operational data from these circuits, along with an assessment of their overall health, proves instrumental in the timely detection and resolution of operational anomalies. This holds paramount significance in upholding the reliability of these interface circuits. Nevertheless, tracking the degradation trajectory of the core components during their operational lifespan poses a challenge. Typically, only two states, normal and abnormal, are readily discernible, making direct health assessment elusive. To address this issue, this study introduces a health assessment methodology for the fundamental components of switch quantity interface circuits based on active excitation testing. Through the application of active excitation, the performance decay profile of the optical coupler is ascertained, solving the problem of capturing the degradation process within these circuits. This approach facilitates the stable and precise characterization of the health status of switching quantity interface circuits. The health assessment method presented in this paper is characterized by modest computational resource demands and a reduced reliance on expert knowledge. It is adept at quantitatively delineating the health status of switch-quantity interface circuits with precision, thereby offering guidance for the maintenance and replacement of pivotal electronic components within these circuits. In doing so, it contributes to the assurance of operational dependability and an extension of the service life of switch quantity interface circuits. © 2023 IEEE.

关键词： Reliability analysis

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GRU-Net: Gaussian Attention Aided Dense Skip Connection Based MultiResUNet for Breast Histopathology Image Segmentation 28th

GRU-Net: Gaussian Attention Aided Dense Skip Connection Base...

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28th Annual Conference on Medical Image Understanding and Analysis, MIUA 2024

作者： Roy, Ayush Pramanik, Payel Ghosal, Sohom Valenkova, Daria Kaplun, Dmitrii Sarkar, Ram Department of Electrical Engineering Jadavpur University Kolkata700032 India Department of Computer Science and Engineering Jadavpur University Kolkata700032 India Department of Electronics and Communication Engineering International Institute of Information Technology Chhattisgarh India Department of Automation and Control Processes Saint Petersburg Electrotechnical University LETI Saint Petersburg Russia Artificial Intelligence Research Institute China University of Mining and Technology Xuzhou China

ISBN: (纸本)9783031669545

Breast cancer is a major global health concern. Pathologists face challenges in analyzing complex features from pathological images, which is a time-consuming and labor-intensive task. Therefore, efficient computer-based diagnostic tools are needed for early detection and treatment planning. This paper presents a modified version of MultiResU-Net for histopathology image segmentation, which is selected as the backbone for its ability to analyze and segment complex features at multiple scales and ensure effective feature flow via skip connections. The modified version also utilizes the Gaussian distribution-based Attention Module (GdAM) to incorporate histopathology-relevant text information in a Gaussian distribution. The sampled features from the Gaussian text feature-guided distribution highlight specific spatial regions based on prior knowledge. Finally, using the controlled Dense Residual Block (CDRB) on skip connections of MultiResU-Net, the information is transferred from the encoder layers to the decoder layers in a controlled manner using a scaling parameter derived from the extracted spatial features. We validate our approach on two diverse breast cancer histopathology image datasets: TNBC and MonuSeg, demonstrating superior segmentation performance compared to state-of-the-art methods. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Gaussian distribution

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Multi-ellipse Fitting Based on Kalman Filter

Multi-ellipse Fitting Based on Kalman Filter

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第42届中国控制会议

作者： Chenrong Long Yangzhi Zeng Zhenchao Ouyang Pengyu Guo Qinglei Hu School of Automation Science and Electrical Engineering Beihang University Beijing Institute of Control and Electronic Technology Beihang Hangzhou Innovation Institute Yuhang

This paper proposes a Kalman-filter-based algorithm for fitting multiple ***,the curve in Cartesian coordinates is first transformed into an extended curve in polar coordinates to obtain ordered ***,the Kalman filter is used for clustering to select points belonging to the same candidate ***,the parameters of each ellipse are solved using the least squares method to achieve ellipse ***,the proposed algorithm effectively fits multiple ellipses while avoiding a large number of ineffective samples and maintaining a low computational ***,the numerical simulation results demonstrate that the proposed method has good robustness against outliers.

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A Consequent Pole Flux Reversal Machine with Asymmetric V-PM Structure for High Torque Performance Applications

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IEEE Transactions on Transportation Electrification 2025年

作者： Zheng, Yuting Xiang, Wei Zhang, Liu Jin, Yong Tan, Ping Ma, Jien Zhejiang University of Science and Technology School of Automation and Electrical Engineering Hangzhou310023 China Beihang University Zhejiang Engineering Research Center of Precision Electromagnetic Control Technology and Equipment Ningbo Institute of Technology Ningbo315800 China Zhejiang University College of Electrical Engineering Hangzhou310027 China

Conventional flux reversal machines (FRMs) are limited in torque density due to large pole flux leakage, while the inherently doubly-salient structure results in large torque ripple. In order to enhance the torque performance, a consequent pole FRM with asymmetric V-shaped permanent magnet structure (AV-CPFRM) is proposed in this paper. The pole flux leakage of the AV-CPFRM is reduced by utilizing the flux focus effect of the V-shaped magnets in conjunction with the consequent pole structure, while the torque ripple is reduced by adopting the asymmetric pole structure. Subsequently, the AV-CPFRM is optimized and analyzed, the influence of the torque performance on the asymmetric pole structure parameters is investigated. In addition, the electromagnetic performance of the optimized AV-CPFRM is compared with CP-FRM and consequent pole FRM with V-shaped magnets (V-CPFRM) based on finite element analysis. The results suggest that the AV-CPFRM reduces torque ripple by 86.6% with the average torque increase of 11% compared to the conventional CP-FRM. Finally, the AV-CPFRM prototype is constructed and experimented. © 2015 IEEE.

关键词： Permanent magnets

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Iterative assist-as-needed control with interaction factor for rehabilitation robots

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Science China(Technological Sciences) 2021年第4期64卷 836-846页

作者： CAO Ran CHENG Long YANG ChenGuang DONG Zhe School of Artificial Intelligence University'of Chinese Academy of SciencesBeijing 100049China State Key Laboratory for Management and Control of Complex Systems Institute of Automation.Chinese Academy of SciencesBeijing 100190China School of Automation Science and Engineering South China University of TechnologyGuangzhou 510641China School of Electrical and Control Engineering North China Universityof TechnologyBeijing 100144China

Rehabilitation robots for stroke patients have drawn considerable attention because they can reduce the economic and labor costs brought by traditional rehabilitation. control methods for rehabilitation robots have been developed to stimulate the active motion of patients and to improve the effectiveness of rehabilitation care. However, current control methods can only roughly adjust the system’s stiffness and may fail in achieving satisfactory performance. To this end, this paper introduces a novel cost function consisting of the tracking error term and the stiffness term. The cost function contains an interaction factor that represents the patient’s motion intention to balance the weight of these two terms. When the patients try to actively do training tasks, the weight of stiffness term increases, which leads to the larger allowable tracking error and lower stiffness eventually. An iterative updating law of the stiffness matrix is given to reduce the proposed cost function. Theoretical analysis based on the Lyapunov theory is given to ensure the feasibility of the proposed algorithm. Furthermore, a force estimation is used to improve interaction control performance. Finally, simulation experiments are provided to show the effectiveness of the proposed algorithm.

关键词： human-robot interaction impedance stiffness control rehabilitation

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Aggregation of Magnetic Particles in a Triangular Oscillating Magnetic Field

Aggregation of Magnetic Particles in a Triangular Oscillatin...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Zhao, Peiran Yan, Liang Gao, Xiaoshan Bu, Suwan Gerada, Chris School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China Ningbo Institute of Technology Beihang University Ningbo315800 China Power Electronics Machines and Control Group University of Nottingham NottinghamNG7 2RD United Kingdom

ISBN: (纸本)9789811966125

The existing vascular microrobots are mainly individual robots because of the limitations of size. Aiming at the existing problems of vascular swarm robot, this paper focuses on the aggregation of magnetic particles. Through theoretical analysis, the formula of magnetic interaction force between particles is derived. Then the mechanism is verified and a ribbon-like swarm is generated by the numerical simulation. The simulation results show that the main factors affect the aggregation are the amplitude ratio γ, the frequency f and the constant component B0. γ and f are positively and negatively correlated with the aspect ratio of swarm respectively. The constant component affects the direction of swarm. In conclusion, the magnetic interaction force is the fundamental reason for the aggregation of magnetic particles and the particles can aggregate into swarm in a triangular oscillating field. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Agglomeration

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Time-Constrained Cooperative Guidance Based on Deep Neural Network

Time-Constrained Cooperative Guidance Based on Deep Neural N...

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第42届中国控制会议

作者： Changhai Wang Jianglong Yu Xiwang Dong Qingdong Li Zhang Ren Feifei Wang Xijing Hu School of Automation Science and Electrical Engineering Beihang University Institute of Artificial Intelligence Beihang University Beijing Institute of Control and Electronic Technology

Time-constrained cooperative guidance based on deep neural network(DNN) is developed to address the problem of cooperative guidance of multiple missiles against maneuvering ***,deep neural network is applied to estimate timeto-go.A simplified dataset is created to improve the estimation effect and the performance of training results is ***,time-constrained cooperative guidance law is ***-constrained guidance(TCG) law based on variable navigation ratio is proposed and an optimal method of cooperative time is ***,simulation in 3-D space and equivalent experiment in 2-D space are carried out to verify the performance of guidance *** equivalent experiment platform based on multiple unmanned ground vehicles(Multi-UGVs) is erected and the experiment to achieve cooperative guidance is carried out.

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