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2022 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2022

作者： Zhang, Yifan Guo, Chujia Huang, Jingjing Shannxi University of Science&Technology School of Electrical and Control Engineering Xi'an China Xi'An Jiaotong University School of Automation Science and Engineering Xi'an China

ISBN: (数字)9781665492065

ISBN: (纸本)9781665492065

When a three-phase voltage source converter works as an active power filter, it is difficult to ensure the steady-state accuracy and the dynamic response performance of current tracking at the same time by traditional hysteresis modulation or space vector pulse-width modulation independently. To address this issue, a hybrid PWM method based on equivalent model is proposed for the three-phase voltage source converter. The relation between switching frequency, loop width and total harmonics distortion of current is deduced by analyzing working principles of hysteresis modulation and SVPWM modulation. Furthermore, the segment switching hybrid control method and the switching standard of two modulation modes could be proposed. This hybrid modulation method simplifies the design of switched ripple filter, ensures dynamic response speed, high steady-state accuracy and the ability of eliminating high frequency harmonics. Experimental results are carried out to verify the effectiveness and superiority of the proposed hybrid PWM method. © 2022 IEEE.

关键词： Hysteresis

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Conversion control for Remote Sensing Stable Platforms for Transient and Continuous Disturbances 3

Conversion Control for Remote Sensing Stable Platforms for T...

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2023 3rd International Conference on Computer, Remote Sensing and Aerospace, CRSA 2023

作者： Zhou, Jiaxing Qixuan, Huang Chen, Xiang Yao, Youxin School of Electrical Engineering and Automation Xiamen University of Technology Xiamen361000 China Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Xiamen361000 China Shanghai Satellite Engineering Institute Shanghai201109 China

An airborne electro-optical stabilized platform is a device situated between the aircraft and the imaging components, which serves to isolate external disturbances and maintain imaging axis stability for the imaging components. In light of the impact of transient and continuous attitude changes of the aircraft on the axis-stabilized imaging in visible light unmanned aerial vehicle (UAV) remote sensing missions, a control method combining a proportional-integral (PI) controller and a backpropagation neural network (BPNN) PID conversion control was devised. The specific procedure involved the following steps: firstly, the transfer mechanism of external disturbances between platforms was derived using the state transition matrix through mechanistic modelling. Secondly, the multi-rigid body dynamics equations of the airborne electro-optical platform were established based on Newton's laws of motion and Euler's laws. Subsequently, the relationship between the stable platform rotation angle and external disturbances was obtained using Laplace transformation, and an analysis was conducted on the effects of different disturbances on the stable platform. Lastly, conversion control was incorporated into the system model for simulation analysis. The simulation results demonstrated that transient disturbances could be effectively and rapidly isolated by the PI controller, while continuous disturbances exhibited improved performance when handled by the neural network PID controller, thus validating the efficacy of the designed conversion control method. © Published under licence by IOP Publishing Ltd.

关键词： Three term control systems

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Atten-DilatedNet: Fault diagnosis method of bearing for mine drilling rig

Atten-DilatedNet: Fault diagnosis method of bearing for mine...

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2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2023

作者： Sun, Guoqing Zou, Xiaoyu Pan, Jie Wang, Zhongbin Ji, Hongquan Xin, Dezhong China University of Mining and Technology School of Mechanical and Electrical Engineering Xuzhou China China University of Mining and Technology School of Information and Control Engineering Xuzhou China Shandong University of Science and Technology School of Electrical Engineering and Automation Qingdao China Coal Science and Industry Group Chongqing Research Institute of China Chongqing China

ISBN: (纸本)9798350337754

Currently, bearing fault signal diagnosis of mine drilling rig suffers from strong time dependency and serious signal noises, which leads to low diagnostic accuracy. Aiming at solving the problem of inadequate extraction of key features hidden in strong noise, a temporal attention embedding dilated convolutional neural network (Atten-DilatedNet) is designed for fault diagnosis of mine drilling rig bearing. The method takes the original vibration signals of different faulty bearings of drilling rigs as the input of the model. It adopts a one-dimensional dilated convolutional neural network to automatically extract features from the vibration signals, with larger receptive field and longer time range than traditional convolutional operator. A temporal attention mechanism is further embedded to the network, which adaptively assigns different weights to above feature sequences and model their time dependency. Thus, Atten-DilatedNet can enhance attention to critical-to-fault feature, and restrain interference of noise. Case studies on public data sets and experimental drilling rig demonstrate the validaty and superiority of the proposed Atten-DilatedNet based fault diagnosis method. It shows higher accuracy, better generalization performance, and stronger robustness than some traditional machine learning methods. © 2023 IEEE.

关键词： Failure analysis

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The track inspection vehicle data is utilized for fault feature extraction of jointless track circuit compensation capacitor using CEEMDAN

The track inspection vehicle data is utilized for fault feat...

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2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2023

作者： Wang, Zhongrui Bao, Chengqi Shi, Jianqiang Chen, Guangwu Lanzhou Jiaotong University Key Laboratory of Plateau Traffic Information Engineering and Control of Gansu Province Lanzhou Jiaotong University Lanzhou China Lanzhou Jiaotong University Lanzhou Jiaotong University School of Automation and Electrical Engineering Lanzhou China

ISBN: (纸本)9798350337754

In order to keep pace with the advancement of track inspection vehicle operation and maintenance technology, this paper proposes a fault feature extraction technique for compensation capacitor based on the induced voltage data acquired by the track inspection vehicle. Firstly, a finite element model is developed to simulate the induced voltage acquisition process, utilizing the principles of high-speed track inspection vehicle and electromagnetic field theory. Next, the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) method is chosen to extract the fault features by comparing the effectiveness and orthogonalization of three signal decomposition methods, namely Empirical Mode Decomposition (EMD), Ensemble Empirical Mode Decomposition (EEMD), and CEEMDAN. The decomposed modal components are used to calculate the energy value, which is subsequently used as feature information for fault classification using a neural network. Finally, the proposed method is tested on actual railway field data, and statistical analysis shows an accuracy of 87%. © 2023 IEEE.

关键词： Empirical mode decomposition

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Suppression of Beta Oscillations in a Parkinson's Disease Model by Dynamic Delayed Feedback control 42

Suppression of Beta Oscillations in a Parkinson's Disease Mo...

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42nd Chinese control Conference, CCC 2023

作者： Ji, Shenfei Che, Yanqiu Yang, Jingyu Li, Shanshan Wang, Ruofan School of Automation and Electrical Engineering Tianjin Key Laboratory of Information Sensing & Intelligent Control Tianjin University of Technology and Education Tianjin300222 China School of Information Technology Engineering Tianjin University of Technology and Education Tianjin300222 China

ISBN: (纸本)9789887581543

Deep brain stimulation (DBS) is the main technique for the treatment of Parkinson's disease (PD) at present. In this paper, we propose a DBS scheme based on dynamic delayed feedback control for suppression of beta oscillations in a PD model. First, we simulate normal and PD states of cerebral cortex basal nucleus thalamic neural circuit using a simplified subthalamic nucleus (STN)-external globus pallidus (GPe) neural network computational model. Then, a dynamic delayed feedback control scheme is designed to optimize the DBS technique for suppression of beta oscillations in PD state. Finally, two evaluation indexes, inhibition index and control energy index, are proposed to evaluate the control performance. It is found that, in a large range of control parameter space, the dynamic delayed feedback control scheme based DBS can effectively suppress the oscillations in the beta band of Parkinson's state. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Feedback control

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Analysis of circulating current elimination Based on Three Phase Dual Frequency Grid-Connected Inverter

Analysis of circulating current elimination Based on Three P...

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2024 8th International Conference on electrical, Mechanical and Computer engineering (ICEMCE)

作者： Zhigang Chen Zhenfei Cui Liyong Yang Chaonan Tong School of Automation and Electrical Engineering University of Science and Technology Beijing China College of Electrical and Control Engineering North China University of Technology Beijing China

ISBN: (数字)9798331506230

ISBN: (纸本)9798331506247

Integrating filters into inverters to improve the power quality is essential. This study examines a three-phase dual-frequency grid-connected inverter designed to minimize switching losses by reducing the switching frequency in the energy transmission channel. The system utilizes L-filters and auxiliary units (AUs) to suppress harmonics and ensure high-quality grid-connected current, effectively addressing resonance issues associated with LCL filters. Simulations and experimental results show that this scheme could eliminate the circulating current between the two units and effectively suppress the leakage current.

关键词： Filters Switching frequency Power quality Switching loss Resonant frequency Inverters Resonance Topology Leakage currents Power harmonic filters

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A Low-Cost Segment Method to Reduce PM Eddy-Current Loss in Axial Flux PM Wheel Motor

A Low-Cost Segment Method to Reduce PM Eddy-Current Loss in ...

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2023 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2023

作者： Chen, Wang Yunpeng, Liu Huang, Jian Dong, Chen Zhuoran, Zhang Key Laboratory of Electric Drive and Control of Anhui Province Wuhu214000 China Anhui Polytechnic University School of Electrical Engineering Wuhu214000 China Nanjing University of Aeronautics and Astronautics College of Automation Engineering Nanjing211106 China

ISBN: (纸本)9798350338362

The high permanent magnet (PM) eddy-current loss will cause the risk of irreversible demagnetization. To reduce the PM eddy-current loss, the PM complete segmentation method (CSM) is a widely applied. However, the PM CSM will increase the cost and assembly process especially for axial flux PM (AFPM) motors. To address this problem, a new arc incompletion segmentation method (AISM) is proposed to reduce the PM eddy current loss and cost, including double-side AISM and single-side AISM. Then, some of the key parameters are optimized. In addition, the PM eddy current loss, cost and torque performance are compared with different segmentation methods under different conditions based on 3-D finite element method (FEM). Finally, two different 25kW prototypes are manufactured and tested to validate the proposed method and analysis. © 2023 IEEE.

关键词： Permanent magnets

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RepColor: deep coloring algorithm combining semantic categories

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Optoelectronics Letters 2025年

作者： Lei Sun Dongjie Ju School of Electrical Engineering and Automation， Tianjin University of Technology Tianjin Key Laboratory for Control Theory and Complicated Industry Systems， Tianjin University of Technology

Image coloring is an inherently uncertain and multimodal problem. By inputting a grayscale image into a coloring network， visually plausible colored photos can be generated. Conventional methods primarily rely on semantic information for image colorization. Although effective in coloring images with clear semantic information， these methods still suffer from color contamination and semantic confusion. This is largely due to the limited capacity of convolutional neural networks to effectively learn deep semantic information inherent in *** this paper， we propose a network structure that addresses these limitations by leveraging multi-level semantic information classification and fusion. Additionally， we introduce a global semantic fusion network to combat the issues of color contamination. The proposed coloring encoder accurately extracts object-level semantic information from *** further enhance visual plausibility， we employ a self-supervised adversarial training method. We train the network structure on various datasets with varying amounts of data and evaluate its performance using the ImageNet validation set and COCO validation set. Experimental results demonstrate that our proposed RepColor can generate more realistic images compared to previous approaches， showcasing its high generalization ability.

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Position Errors and Interference Prediction-Based Trajectory Tracking for Snake Robots

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IEEE/CAA Journal of Automatica Sinica 2023年第9期10卷 1810-1821页

作者： Dongfang Li Yilong Zhang Ping Li Rob Law Zhengrong Xiang Xin Xu Limin Zhu Edmond Q.Wu IEEE School of Electrical Engineering and Automation Fuzhou UniversityFuzhou 350108 the Sino-US Global Logistics Institute Shanghai Jiao Tong UniversityShanghai 200240 the Key Laboratory for Agricultural Machinery Intelligent Control and Manufacturing of Fujian Education Institutions Fuzhou 350108China School of Biological Science and Medical Engineering and the Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education Beihang UniversityBeijing 100191China University of Macao Macao 999078China School of Automation Nanjing University of Science and TechnologyNanjing 210094China College of Intelligence Science and Technology National University of Defence TechnologyChangsha 410073China School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China

This work presents a trajectory tracking control method for snake *** method eliminates the influence of time-varying interferences on the body and reduces the offset error of a robot with a predetermined *** optimized line-of-sight(LOS)guidance strategy drives the robot’s steering angle to maintain its anti-sideslip ability by predicting position errors and ***,the predictions of system parameters and viscous friction coefficients can compensate for the joint torque control *** compensation is adopted to enhance the compatibility of a robot within ever-changing *** and experimental outcomes show that our work can decrease the fluctuation peak of the tracking errors,reduce adjustment time,and improve accuracy.

关键词： Anti-sideslip compensation snake robot trajectory tracking

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Design of Intelligent Drug Delivery Vehicle Based on MSP430 MCU 5

Design of Intelligent Drug Delivery Vehicle Based on MSP430 ...

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5th International Conference on Energy, electrical and Power engineering, CEEPE 2022

作者： Xinzheng, Shan Luyan, Xue Wancheng, Wu Xiaoyu, Li Tianqi, Nan Yichen, Wu China University of Mining and Technology School of Electrical Engineering Xuzhou China China University of Mining and Technology School of Information and Control Engineering Xuzhou China Nanjing Normal University School of Electrical and Automation Engineering Nanjing China

ISBN: (纸本)9781665479059

The continuous exploration and innovative application of smart medical scenarios is the general trend of the development of modern medicine. Smart pharmacy is an important aspect of it. To improve the level of hospital medical service facilities and automated service capabilities, this paper starts with the delivery of medicines in hospitals, takes MSP430F5529 main control board [1]-[3] as the control core, combined with TB6612FNG DC motor drive module, Hall incremental encoder motor, OLED display module, power module, BT18 Bluetooth communication module, five-way grayscale sensor [4]-[7] module and other functional modules, an intelligent drug delivery vehicle is designed. This paper expounds on the designed intelligent drug delivery vehicle from function introduction and working principle aspects. We make a simple version of the intelligent drug delivery vehicle by itself and conduct drug distribution simulation experiments and performance tests to verify the feasibility of the vehicle design. © 2022 IEEE.

关键词： Drugs Power engineering Hospitals Multichip modules Gray-scale Organic light emitting diodes Robot sensing systems

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