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检索条件"任意字段=25th International Conference on Methods and Models in Automation and Robotics"

共 1231 条记录，以下是511-520 订阅

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Comparison of Different Flux-Weakening Strategies of AC-Excited Hybrid Excitation Synchronous Motor

Comparison of Different Flux-Weakening Strategies of AC-Exci...

引用

international conference on Electrical Machines and Systems (ICEMS)

作者： Y. W. Deng K. Wang J. Li T. Wang College of Automation Nanjing University of Aeronautics and Astronautics China

ISBN: (数字)9781665493024

ISBN: (纸本)9781665493031

Compared with permanent magnet synchronous motor (PMSM), hybrid excitation synchronous motor (HESM) adds a set of electric excitation windings, so the controllable excitation current is introduced, which increases the control freedom of the system, and the magnetic field adjustment is convenient and reliable. It is suitable for aerospace, electric vehicles and other occasions. In this paper, a new type of AC-excited hybrid excitation synchronous motor (AC-EHESM) is studied. Firstly, according to the characteristics of the motor, the mathematical model of the motor is built, and the operation limits of the motor are analyzed. On this basis, three different flux-weakening control methods are compared and studied. these three control strategies can widen the operating area of the motor to a certain extent, and do not depend on the motor parameters, and can be applied to other HESM.

关键词： Simulation Windings Air gaps Synchronous motors Permanent magnet motors Mathematical models Hybrid power systems

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Influence of Mutual Inductance on High-Frequency Impedance Characteristics of Six-Phase PMSM under Inter-Turn Short-Circuit Fault

Influence of Mutual Inductance on High-Frequency Impedance C...

引用

international conference on Electrical Machines and Systems (ICEMS)

作者： Zihang Yuan Minghao Wang Jingang Bai Jiaxuan Huang Ping Zheng School of Electrical Engineering & Automation Harbin Institute of Technology Harbin China

ISBN: (数字)9781665493024

ISBN: (纸本)9781665493031

To improve the ability to identify the inter-turn short-circuit (ITSC) fault, which is one of the most frequent fault types, of six-phase permanent-magnet synchronous machines (PMSMs), the high-frequency impedance of six-phase PMSM under ITSC fault is analyzed with consideration of the mutual inductance characteristics. the model of coupled magnetic circuit between the fault turns and other phases is established, interpreting the characteristic of mutual inductances with different fault turns locations. the high-frequency impedances of both the ITSC fault phase and healthy phases are analyzed, and the impedance decreases of healthy phase caused by mutual inductance are evaluated. Fault diagnosis indicator utilizing the high-frequency current response is designed and the indicator reliabilities of different voltage injection methods are compared.

关键词： Fault diagnosis Inductance Voltage Reliability engineering Mathematical models Circuit faults Impedance

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Design Method of Variable-Flux Machines for Improving Torque Density

Design Method of Variable-Flux Machines for Improving Torque...

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international conference on Electrical Machines and Systems (ICEMS)

作者： Faliang Liu Mingqiao Wang Yong Liu Zaiping Zheng Ping Zheng Jie Fu School of Electrical Engineering & Automation Harbin Institute of Technology Harbin China Beijing Institute of Precision Mechatronics and Controls Beijing China

ISBN: (数字)9781665493024

ISBN: (纸本)9781665493031

In order to improving the torque density of the variable-flux machine, design methods for both series and parallel configurations are proposed based on the theoretical analysis. After the traditional rare-earth permanent-magnet (PM) synchronous machines (PMSM) is converted into the VFM, two typical configurations of the VFMs are given. To determine what kinds of low-coercive-force (LCF) magnets possessing torque improving capability, the simplified equivalent magnetic circuits for both configurations are established. the torque improving method for the series-configuration VFM is deduced based on the magnetic circuit. the output capability of series-configuration VFM with different LCF magnets are analyzed, which validate the accuracy of the deduced method. then, by assuming the magnetic reluctance of the teeth and yoke is much smaller than other reluctances, the contour maps of air-gap flux density for the parallel-configuration VFMs are investigated. Based on the proposed methods, the torque density of the VFMs with series-, parallel- and hybrid-configuration can be improved.

关键词： Magnetic flux Torque Design methodology Simulation Air gaps Mathematical models Synchronous machines

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Solution for Agri Disaster Using Climate Changes Adaptation by Ml

Solution for Agri Disaster Using Climate Changes Adaptation ...

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international conference on Contemporary Computing and Informatics (IC3I)

作者： L. Ganesh R. Prasanna Venkatesh Kaushal Kumar Khushboo Kumari Sangeeta Borkakoty A. Raju Robotics and Automation Dept. Rajalakshmi Engineering College Chennai Tamilnadu India Department of Mechanical Engineering SACS MAVMM Engineering College Madurai Tamilnadu India Department of Botany School of Life Sciences Mahatma Gandhi Central University Bihar India Department of Computer Science & Electronic University of Science & Technology Meghalaya Department of Commerce KLEF Vaddeswaram Green Field Vijayawada

this paper proposes using good sized getting to know fashions to recognize lesions of cotton leaves in the context of pictures of the reaping within the subject. Cotton is among the maximum economically essential plant harvests, as it's far grown all over the international. Its spread in tropical areas has made it the goal of a wide variety of farming irritations and illnesses, necessitating succesful plans. moreover, the consequences of commonplace disturbances and disorders are difficult to isolate inside the early stages, and the author may additionally battle to locate the suitable visible verification of a scientific difficulty. To help in resolving the difficulty, it contemporary inquiry proposes a solution that takes into consideration substantial training within the filtering of cotton leaves, making it possible to reveal the cotton yield's health and make higher judgments approximately its management. the studying models GoogleNet like Resnet50, which use convolutional cerebrum associations, performed an accuracy of 86.6 percentage and 89.2 percentage, respectively. assist vector machines, Closest k-pals, faux creativeness associations, and neuro-tender are some of the extraordinary as well as everyday tactics again for treatment of photographs. the convolutional cerebellum networks ended up being 25% extra unique, implying that this method can upload to a more strong and short investigation of the flora looking to fill inside the field.

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A Method of Prediction for Transformer Malfunction Based on Oil Chromatography 5

A Method of Prediction for Transformer Malfunction Based on ...

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5th international conference on automation, Control and robotics Engineering, CACRE 2020

作者： Wu, Hao Zhou, Yang Yang, Chuanqi Zhu, Hongmei Hao, Dongxin Ren, Shuangzan State Grid Shaanxi Electric Power Research Institute Xi'an China Institute of Electrical and Automation Engineering Wuhan University Hubei Wuhan China

ISBN: (纸本)9781728198880

Electric power transformer is one of the most necessary part in power system, and hence, it's significant to diagnose the transformer malfunction in advance;A methods of prediction for transformer malfunction based on oil chromatography is described;4 models for time series prediction are illustrated, and the specific methods for model identification and ordering are explained;the time series model was applied to predict transformer malfunction in the oil chromatography analysis example, and accurate results were obtained, which shows that the method described in this paper can effectively predict the concentration of dissolved gas in transformer oil in future, and diagnose the types of malfunctions so that meet the actual need of projects. © 2020 IEEE.

关键词： Forecasting

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Analysis of time series data for anomaly detection

Analysis of time series data for anomaly detection

引用

international Symposium on Computational Intelligence and Informatics

作者： Katalin Ferencz József Domokos Levente Kovács Doctoral School of Applied Informatics and Applied Mathematics Óbuda University Budapest Hungary Faculty of Technical and Human Sciences Târgu Mure. Romania Sapientia Hungarian University of Transylvania Faculty of Technical and Human Sciences Târgu Mure Sapientia Hungarian University of Transylvania Târgu Mure. Romania John Von Neumann Faculty of Informatics Óbuda University Budapest Hungary

ISBN: (纸本)9798350398830

the integration of sensors in our everyday lives and in industry presents a serious challenge to data analysis professionals. Since the use of smart devices has exponentially increased the amount of data collected in all areas, we must not only store these data, but also extract valuable information from those using some data analysis method. In many cases, the increased amount of data also causes problems for data analysis algorithms, so we need to be continuously updated and specialized for fundamental purposes. In the article, we will present some data analysis techniques, starting from the simplest statistical methods to more complex techniques using machine learning and presenting one of their possible applications. In our study, we will use the KMeans clustering algorithm and examine its effectiveness in time series sensor data analysis.

关键词： Support vector machines Analytical models Data analysis Machine learning algorithms Computational modeling Time series analysis Clustering algorithms

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Research on Key Technologies of Carrier-Based Aircraft Landing

Research on Key Technologies of Carrier-Based Aircraft Landi...

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international conference on robotics and automation Engineering (ICRAE)

作者： Yin Haitao Li Yan Xi'an Aerospace Propulsion Testing Technology Research Institute Xi'an Shaanxi

ISBN: (纸本)9781665406987

the key technologies of carrier-based aircraft in the landing process include deck motion prediction and compensation, radar noise suppression, disturbance suppression of aft flow and wave-off decision. In this paper, the key technologies in the process of landing is summarized and generalized, including the methods of deck motion compensation and prediction, the current mainstream ideas of disturbance suppression of aft flow, the influence of radar noise on landing control, the comparison of existing suppression methods, and the wave-off decision technology in view of the situation that carrier-aircraft cannot land safely. the study provides a theoretical reference for the control of carrier-based aircraft landing.

关键词： Analytical models Atmospheric modeling Airborne radar Noise reduction Process control Predictive models Motion compensation

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A Field-Weakening Scheme with Predictive Current Error for PMSM Modulated Model Predictive Control

A Field-Weakening Scheme with Predictive Current Error for P...

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international conference on Electrical Machines and Systems (ICEMS)

作者： Qinghua Dong Yong Yu Bo Wang Minghe Tian Dianguo Xu School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China

ISBN: (数字)9781665493024

ISBN: (纸本)9781665493031

In this paper, a field-weakening scheme on modulated model predictive control (M2PC) using predictive current error (PCE) margin is proposed for permanent magnet synchronous motor (PMSM). Compared with traditional finite-control-set MPC, M2PC has small steady-state current harmonics benefitting from the synthesis of multiple vectors. However, due to the limit of inverter output capacity and the discreteness of M2PC, the operation range is difficult to extend the field-weakening region and ensure dynamic performance. To address this problem, a predictive current error (PCE) margin with a weight factor is designed to improve the dynamic performance in field-weakening operation, in which the PCE margin is derived from the voltage mapping. the experimental results are eventually conducted for validating the proposed methods.

关键词： Predictive models Permanent magnet motors Harmonic analysis Permanent magnets Inverters Trajectory Steady-state

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Interactive Context-Comparative Model for Text Matching

Interactive Context-Comparative Model for Text Matching

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Frontiers Technology of Information and Computer (ICFTIC), IEEE international conference on

作者： Zhuozhang Zou Wei Yang Longlong Pang Chen Liang Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China

Most of the existing text matching models are based on the interactive network and use cross-attention mechanism to capture the semantic links between two texts, and have made outstanding achievements. However, the current methods generally do not pay enough attention to the context information of the text and ignore the importance of comparing these features. To solve this problem, this paper proposes an interactive context-comparative model for text matching (ICCM). First, the Bi-directional Long Short-Term Memory network is used to encode the word vector. then the key information of related words between different texts is aligned through the cross-attention mechanism, and the key information in their contexts is focused through the context-attention mechanism. the two kinds of information are compared using comparison functions, and the convolutional neural network is used to aggregate the features after splicing. Finally, the results of text matching are predicted. Testing on LCQMC dataset shows that the accuracy rate is 85.5%. the experimental result and analysis prove that the proposed model is superior to the existing main text matching methods and has certain effectiveness.

关键词： Measurement Computational modeling Splicing Semantics Predictive models Encoding Convolutional neural networks

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Adaptive Remote Sensing Image Attribute Learning for Active Object Detection

Adaptive Remote Sensing Image Attribute Learning for Active ...

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international conference on Pattern Recognition

作者： Nuo Xu Chunlei Huo Jiacheng Guo Yiwei Liu Jian Wang Chunhong Pan NLPR Institute of Automation Chinese Academy of Sciences School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Beijing Information Science and Technology University Beijing China Beijing University of Civil Engineering and Architecture Beijing China College of Robotics Beijing Union University Beijing China

In recent years, deep learning methods bring incredible progress to the field of object detection. However, in the field of remote sensing image processing, existing methods neglect the relationship between imaging configuration and detection performance, and do not take into account the importance of detection performance feedback for improving image quality. therefore, detection performance is limited by the passive nature of the conventional object detection framework. In order to solve the above limitations, this paper takes adaptive brightness adjustment and scale adjustment as examples, and proposes an active object detection method based on deep reinforcement learning. the goal of adaptive image attribute learning is to maximize the detection performance. With the help of active object detection and image attribute adjustment strategies, low-quality images can be converted into high-quality images, and the overall performance is improved without retraining the detector.

关键词： Image quality Image processing Brightness Imaging Object detection Reinforcement learning Detectors

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