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2nd Asia Power and electrical Technology Conference, APET 2023

作者： Han, Zijiao Han, Shenghua Na, Guangyu Zhang, Xinran Dou, Wenlei Tong, Yongji State Grid Liaoning Electric Power Co. Ltd Dispatching & Control Center Shenyang China School of Automation Science and Electrical Engineering Beihang University Beijing China Tsinghua University Department of Electrical Engineering Beijing China

ISBN: (纸本)9798350359428

With the development of electrical technology, the load in the electric power system has changed a lot, especially in the dynamic load. As a result, the load shows brand new dynamic characteristics which means that the traditional load model is incapable of the Simulation and calculation of the electric power system. In this paper, a simplified composited load model-based ambient signal identification is proposed. Firstly, in order to carry out the convex optimization of the load parameters, a quasi-convexity load model is introduced. Then, the power characteristics of several kinds of dynamic load such as electronic load, single phase motor, static load, and so on, under ambient signal is discussed, after which the load is divided into two parts - equivalent static load and motor load. Afterwards, the time-varying load makes it necessary to model the load under large disturbance. The composite load model will be more suitable for the study of the dynamic load. © 2023 IEEE.

关键词： Dynamic loads

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Sensitivity Analysis of the Flexible Spiral Magnetic Field Energy Harvester 10

Sensitivity Analysis of the Flexible Spiral Magnetic Field E...

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10th International Conference on Power and Energy Systems engineering, CPESE 2023

作者： Wang, Wei Xu, Chenjin Wang, He Su, Wenbo Ji, Zhenya Hu, Minqiang Nanjing Normal University State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nari School of Electrical and Automation Engineering Nanjing China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China Nanjing Normal University Nari School of Electrical and Automation Engineering Nanjing China

ISBN: (纸本)9798350327625

The magnetic field energy harvesting has become a more suitable method for powering the monitoring sensors due to its simple energy harvesting structure, high power density, and stable energy source. However, existing magnetic field energy harvester have limitations such as restricted installation size, single application scenario, and difficulty in installation or disassembly. Motivated by the above problems, this paper proposes a flexible spiral magnetic field energy harvesting (SMFH) method, which is verified by the establishment of energy harvesting models, theoretical derivation, and simulation analysis. On this basis, a comprehensive performance analysis is performed on the number of windings, load characteristics, flexibility, weight, and non-ideal resonant state. Also, the sensitivity of the flexible SMFEH to various parameter changes is deeply analyzed. Finally, the experiments have verified the feasibility of the flexible SMFEH. © 2023 IEEE.

关键词： Energy harvesting

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An Enhanced Model-Free Predictive Current control for PMSMs Incorporating Discrete Space Vector Modulation 19th

An Enhanced Model-Free Predictive Current Control for PMSMs ...

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19th Annual Conference of China Electrotechnical Society, ACCES 2024

作者： Yang, Yuhui Qin, Qing Qin, Yingmei Che, Yanqiu School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin300222 China Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin University of Technology and Education Tianjin300222 China

ISBN: (纸本)9789819613823

Model-free predictive current control (MFPCC) has excellent parameter robustness owing to unused parameters of the controller. However, the method has the current gradient update stagnation problem due to the limited availability of only 7 voltage vectors, which results in a high current/torque ripple. To address this shortcoming, an enhanced MFPCC for permanent magnet synchronous machines (PMSMs) incorporating discrete space vector modulation (DSVM) is proposed in this paper. First, the basic voltage vectors are expanded from 7 to 37 by DSVM. Then, a novel current gradient updating method is developed to effectively reduce the current/torque ripple caused by current gradient updating stagnation. Finally, a candidate vector preselection method is designed to simplify the calculation process of current gradient updating. The effectiveness of the proposed method is verified on a 2 kW PMSM driving experimental platform. The experimental results show that the THD is reduced from 25.5% to 7.8% while the dq-axes current ripple is respectively reduced from 5.1 A and 5.8 A to 2.2A and 1.5 A. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Permanent magnets

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Accurate Nonlinear Capacitance Measurement Based on Frequency Response Compensation

Accurate Nonlinear Capacitance Measurement Based on Frequenc...

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2024 Asia Conference on Electronic Technology, ACET 2024

作者： Long, Xiao Kai, Chen Chen, Dongdong Jun, Luo School of Electronic and Electrical Engineering Minnan University of Science and Technology Quanzhou362700 China College of Electrical Engineering and Automation Fuzhou University Fuzhou350108 China Key Laboratory of Industrial Automation Control Technology Application of Fujian Higher Education Quanzhou362700 China Huang Gang Power Supply Company State Grid Corporation of China Huanggang China

ISBN: (纸本)9781510681361

In the measurement of nonlinear power capacitor, large DC (direct current) voltage and small AC (alternate current) sinusoidal voltage connected in series are applied to the nonlinear capacitor. In this situation, measurement precision of the capacitor AC sinusoidal voltage and current are critical to the accurate calculation of nonlinear capacitance parameter. Owing to the voltage level diversity, voltage regulation circuit is needed between the measurement terminals and measurement instrument. Though deliberately designed, measurement circuit introduced amplitude and phase error is inevitable. In this paper, an accurate AC sinusoidal small signal measurement method is proposed to promote the measurement precision. The small signal model of the voltage regulation circuit is deduced first. The amplitude and phase angle of the measured sinusoidal small signal is calculated by software phase lock loop (SPLL) method, after which the amplitude and phase angle error is compensated based on the deduced small signal model of the voltage regulation and filter measuring circuit and frequency response method. The correctness and effectiveness of the proposed accurate AC sinusoidal small signal measurement method has been verified by simulation experiment. © 2024 SPIE.

关键词： Frequency response

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Research on IGBT Lifetime Prediction Based on Residual BP Neural Network 10th

Research on IGBT Lifetime Prediction Based on Residual BP Ne...

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10th Frontier Academic Forum of electrical engineering, FAFEE 2022

作者： Sui, Yi Na, Kun Liu, Wei Yuan, Zihang Zhu, Mingjun Zheng, Ping School of Electrical Engineering and Automation Harbin Institute of Technology Harbin150001 China Xi’an Flight Automatic Control Research Institute Xi’an710076 China

ISBN: (纸本)9789819934034

Insulated Gate Bipolar Transistor (IGBT) are widely used in electric vehi-cles, aerospace and other fields with high reliability requirements. This paper first analyzes its failure mechanism according to the internal structure of the IGBT, and selects the collector-emitter turn-off peak voltage value VCE-p as the characteristic parameter for life prediction;Using the IGBT accelerated thermal aging data set published by NASAPCoE laboratory to extract data to explore the relationship between characteristic parameter VCE-p and junction temperature;The IGBT life prediction model is built on the basis of BP neural network and the analysis results show that the gradient disappears when the model reaches a certain depth and the prediction accuracy is low under small sample data;This paper further proposes an IGBT life prediction model based on residual BP neural network. Multiple residual network modules are superimposed to increase the depth of the BP neural network. Comparing and analyzing the two models with the performance evaluation index, it can be seen from the results that the prediction result of residual BP neural network has a higher accuracy, and also has a better effect when the sample data is small. © Beijing Paike Culture Commu. Co., Ltd. 2023.

关键词： Junction temperature

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Impact Time Cooperative Guidance for Multi-Missile System Based on Incremental Learning 42

Impact Time Cooperative Guidance for Multi-Missile System Ba...

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42nd Chinese control Conference, CCC 2023

作者： Li, Xuheng Yu, Jianglong Dong, Xiwang Ren, Zhang Feng, Zhuo Liang, Biao School of Automation Science and Electrical Engineering Beihang University Science and Technology on Aircraft Control Laboratory Beijing100190 China Beijing Institute of Control and Electronic Technology Beijing100038 China

ISBN: (纸本)9789887581543

An impact time cooperative guidance method based on incremental learning is proposed for multi-missile cooperative guidance problem in the attack scenario. Firstly, a guidance model is established to represent the relationship of the missiles and the target. Secondly, an impact time coordinated guidance law based on the consensus method is designed. Then, time-to-go of the missile is predicted using an incremental learning algorithm, so that the accuracy of time-to-go can be better than the results calculated by traditional methods. Finally, the trained neural network is used to predict time-to-go. The results show that the algorithm can be used in the cooperative guidance law to complete the coordination in time, which is superior to the traditional guidance rate in coordination and has advantage in the scene of large maneuvering target. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Learning algorithms

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Composite-mask GAN based on refined optical flow and disparity map for SLAM visual odometry

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Optoelectronics Letters 2025年

作者： JI Yuehui JIANG Jingwei LIU Junjie SONG Yu GAO Qiang School of Electrical Engineering and Automation， Tianjin University of Technology Tianjin Key Laboratory of Control Theory and Application for Complex Systems

Although deep learning methods have been widely applied in slam visual odometry over the past decade with impressive improvements， the accuracy remains limited in complex dynamic environments. In this paper， a composite mask-based generative adversarial network is introduced to predict camera motion and binocular depth maps. Specifically， a perceptual generator is constructed to obtain the corresponding parallax map and optical flow from between two neighboring frames. Then， an iterative pose improvement strategy is proposed to improve the accuracy of pose estimation. Finally， a composite mask is embedded in the discriminator to sense structural deformation in the synthesized virtual image， thereby increasing the overall structural constraints of the network model， improving the accuracy of camera pose estimation， and reducing drift issues in the Visual Odometer. Detailed quantitative and qualitative evaluations on the KITTI dataset show that the proposed framework outperforms existing conventional， supervised learning and unsupervised depth VO methods， providing better results in both pose estimation and depth estimation.

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Acoustic Localization Based on the D-S Evidence Theory for Pressurized Gas Leakage Detection 5

Acoustic Localization Based on the D-S Evidence Theory for P...

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5th International Conference on Industrial Artificial Intelligence, IAI 2023

作者： Wang, Ying-Wang Li, Ji-Gong Yang, Jing Tianjin Key Laboratory of Information Sensing and Intelligent Control China Tianjin University of Technology and Education School of Automation and Electrical Engineering Tianjin300222 China

ISBN: (纸本)9798350325294

The sound source localization of ultrasonic signals generated by pressurized gas leakage was studied. The TDOA based sound source localization algorithm is always used to locate the leakage source. Since the sensors used to locate the sound source are often far from the sound source, and often only far-field models can be applied to estimate the direction of the sound source relative to the sensors. To determine the location of the sound source, it is necessary to take acoustic measurements at different positions around the sound source, such as by using a mobile robot, and fuse the measurement data. In addition, the estimated directions of the sound source usually contain uncertainties due to the noise during the measurements. To localize the sound source precisely and reliably, the D-S evidence theory was carried out in our research, in which an acoustic mass function was constructed to calculate a spatial distribution of the leakage source's location. The proposed method was verified with experiments in which the sound source was simulated with an ultrasonic transmitter, and a linearly and equidistantly distributed microphone linear array was used to estimate the direction where the ultrasonic wave came from. The experimental results show that the proposed method can be used to localize the sound source and has good accuracy and stability. © 2023 IEEE.

关键词： Uncertainty analysis

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Trajectory Learning and Demonstration of a Robot Manipulator Based-on Sensor Fusion from a Hand-held Tool

Trajectory Learning and Demonstration of a Robot Manipulator...

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2024 International Automatic control Conference, CACS 2024

作者： Song, Kai-Tai Ou, Szu-Chen National Yang Ming Chiao Yang Ming Chiao Tung University Institute of Electrical and Control Engineering College of Electrical and Computer Engineering Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Graduate Degree Program of Robotics Hsinchu300093 Taiwan

ISBN: (纸本)9798350354904

This paper presents a programming system for a robot manipulator using a hand-held demonstration tool. In this system, a user holds the self-designed tool to demonstrate a desired motion path, and the robot arm replicates the learned trajectory. The path-demonstration tool, including optical tags (OT) and an IMU, is designed to collect trajectory data from hand motion. Sensor data fusion allows the system to track accurately the demonstrated trajectory. A calibration procedure is proposed to transform the trajectory from tool's coordinate system to robot's coordinate system. A cubic spline-based trajectory planning method is proposed to ensure smooth reproduction of the learned trajectory in both time and space. Experimental results show that the robot is able to replicate squared and curved trajectories collected from the path-demonstration tool. The average position error is within 2.435 mm in XYZ directions and the average orientation error is within 0.65 degrees. © 2024 IEEE.

关键词： Demonstrations

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Heat Transport Modeling And Model-Based Temperature control Of A Residential Building, A Case Study 24

Heat Transport Modeling And Model-Based Temperature Control ...

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24th International Carpathian control Conference, ICCC 2023

作者： Gal, Krisztian Szilveszter Nimrod Kutasi, Denes Automation Engineer Thermo Control Srl. Sfantu Gheorghe Romania Sapientia Hungarian University of Transylvania Department of Electrical Engineering Tirgu Mures Romania

ISBN: (纸本)9798350310221

The paper proposes a case study on modeling, model validation, model-based temperature control of a building to demonstrate the effectiveness of a modern control technique versus a classical control used in a residential building. Energy efficiency is a key topic today, thus it is important to study the methods of temperature control in buildings to achieve the desired control with minimum energy usage. The paper presents the heat transport modeling using the R-C model technique, the model validation (parameter tuning) based on long-term measurements, classical control and model-based predictive (MPC) distributed temperature control in the rooms of the building and the comparison of the energy consumption for each case. Moreover, there are two MPC algorithms discussed, with and without external temperature forecast as disturbance variable. The simulation results and real-time measurements are presented. © 2023 IEEE.

关键词： Model predictive control

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