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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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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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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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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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Intelligent Flight control for Cruise Vehicle Based on Backstepping Design and Reinforcement Learning

Intelligent Flight Control for Cruise Vehicle Based on Backs...

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2023 China automation Congress, CAC 2023

作者： Liu, Xiaodong Jia, Chenhui Yang, Qingjun Wu, Tiancai Zhang, Yu Beijing Aerospace Automatic Control Institute National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing China Beijing Aerospace Automatic Control Institute Beijing China School of Automation Science and Electrical Engineering Beihang University Beijing China

ISBN: (纸本)9798350303759

Aiming at velocity/height tracking control and attitude stabilization for the longitudinal flight of cruise vehicle, the research of intelligent flight control method is carried out by combining the backstepping control theory and the deep reinforcement learning method. Firstly, the longitudinal flight control system of the vehicle is decomposed into velocity and height subsystems, and the control law is designed based on backstepping control theory. Then, aiming at the problems that the selection of the multiple control gains will directly affect the control performance of the closed-loop system and the adjustment process of control gains is cumbersome, the twin delayed deep deterministic policy gradient algorithm (TD3) will be adopted to train the cruise vehicle, so that it can determine the control gains online according to the current flight states. The numerical simulation results show that, the proposed intelligent flight control method can guarantee the high-precision tracking with respect to height and velocity commands, and also realize the attitude stability of cruise vehicle. © 2023 IEEE.

关键词： Reinforcement learning

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Monolithic Integration of GaN-based Optocoupler

Monolithic Integration of GaN-based Optocoupler

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2022 IEEE International Meeting for Future of Electron Devices, Kansai, IMFEDK 2022

作者： Liou, Chengshiun Tsou, Chingfu Feng Chia University Program of Electrical and Communications Engineering Taichung Taiwan Feng Chia University Department of Automatic Control Engineering Taichung Taiwan

ISBN: (数字)9781665474535

ISBN: (纸本)9781665474535

This paper proposed a GaN-based optocoupler chip with monolithic integration. It differs from commercial photodiode optocouplers consisting of at least two coupled chips. This study monolithically integrated a photodiode and a light emitting diode on a sapphire substrate as a single chip. This approach makes the optical transmission of signal in a thin sapphire substrate with a micro-meter scale transmission path reducing light loss. In the experiment, the measurement results showed that the proposed chip has a great current transfer ratio. It meets commercial specifications and provides a more efficient optocoupler manufacturing solution. © 2022 IEEE.

关键词： Integration

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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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Effective distributed algorithm for solving linear matrix equations

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Science China(Information Sciences) 2023年第8期66卷 265-266页

作者： Songsong CHENG Jinlong LEI Xianlin ZENG Yuan FAN Yiguang HONG Anhui Engineering Laboratory of Human-Robot Integration System and Intelligent Equipment School of Electrical Engineering and Automation Anhui University Department of Control Science and Engineering Tongji University Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

Dear editor,Solving linear matrix equations is a basic and important problem in many fields such as the computation of generalized inverses of matrices and(generalized) Sylvester equations. Also, the linear algebraic ...

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