期刊：
UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science,2024年:1-17 ISSN：2286-3540
通讯作者：
Wen, J
作者机构：
[Wen, Juan; Xiao, Qiankang; Qu, Xing; Lin, Siyu] Univ South China, Sch Elect Engn, Hengyang 421001, Peoples R China.;[Liu, Jie] Univ South China, Sch Comp Software, Hengyang 421001, Peoples R China.
通讯机构：
[Wen, J ] U;Univ South China, Sch Elect Engn, Hengyang 421001, Peoples R China.
关键词：
Active distribution network;Fault location;Dynamic quantum genetic algorithm;Evaluation objective function
摘要：
The fault location of an active distribution network is a vital analysis to prevent major outages in the power system. Considering the influence of renewable distributed generations on fault characteristics, this paper proposes a novel location method based on a dynamic quantum genetic algorithm to solve for fault locations in active distribution networks. In the method, the fault current code is measured based on feeder terminal units. A universal switching function is presented to convert the feeder switch status into an uploaded fault current code. The fault location model is defined as an optimization problem that presents the evaluation objective function with an anti-false-positive factor. The dynamic quantum genetic algorithm is developed to locate the fault feeder according to the uploaded fault current code of the feeder terminal unit. The algorithm adopts dynamic rotating gate strategy and adaptive quantum crossover strategy to satisfy the requirements of quickness and accuracy for fault location. Moreover, the method avoids easily falling into a local optimum by integrating the discrete quantum mutation. The proposed fault location technique is tested and compared to other existing techniques on a 33-bus active distribution network. The simulation results show that the proposed fault location method can locate fault feeders accurately with fast computational times under conditions of single or multiple faults and with an information distortion of the feeder terminal unit.
摘要：
The electrocatalytic nitrogen reduction reaction (eNRR) under ambient conditions is deemed a promising alternative for NH(3) synthesis. In this paper, an FeP-Fe(3)O(4) nanocomposite electrocatalyst was prepared by phosphating annealing using Fe(2)O(3) as a precursor, and the resulting FeP-Fe(3)O(4) exhibited excellent N(2)-to-NH(3)-producing activity over a wide potential window. The highest faradaic efficiency of FeP-Fe(3)O(4) is 11.02% at -0.1 V vs. reversible hydrogen electrode (RHE), and the maximum NH(3) yield reaches 12.73 μg h(-1) mg(cat)(-1), comparable to or exceeding the reported values in this field. Furthermore, the FeP-Fe(3)O(4) nanocomposite electrocatalyst presents high electrochemical stability, selectivity, and durability.
作者机构：
[Liu, Fuchun; Liu, Zeyong; Chen, Xujian; Liu, FC] South China Univ Technol, Sch Automat Sci & Engn, Guangzhou, Peoples R China.;[Huang, Zewen] Univ South China, Sch Elect Engn, Hengyang, Peoples R China.
会议名称：
35th Chinese Control and Decision Conference (CCDC)
会议时间：
MAY 20-22, 2023
会议地点：
Yichang, PEOPLES R CHINA
会议主办单位：
[Liu, Fuchun;Chen, Xujian;Liu, Zeyong] South China Univ Technol, Sch Automat Sci & Engn, Guangzhou, Peoples R China.^[Huang, Zewen] Univ South China, Sch Elect Engn, Hengyang, Peoples R China.
会议论文集名称：
Chinese Control and Decision Conference
关键词：
LiDAR point cloud;Multi-scale contextual feature;Semantic segmentation
摘要：
Semantic segmentation of point clouds scanned by LiDAR is one of the means for robots to perceive the environment autonomously. Aiming at the sparse and unstructured characteristics of LiDAR point clouds, we use the spherical projection formula to project LiDAR point clouds to a dense range image. A 2D convolutional neural network based on the encoder-decoder structure is used to perform semantic segmentation on the range image. After segmentation on the range image, we re-project the semantic result of the range image to the LiDAR point clouds using a kNN method. To extract the context features of the range image, we design a multi-scale contextual feature extraction module based on the feature pyramid network, so the encoder-decoder network can better obtain the semantic features of the range image. The experimental results show that the mIoU of the proposed model is 55.2% and 45.0% in SemanticKITTI and SemanticPOSS, which is 3.0% and 16.1% higher than that of the RangeNet++ network, respectively.
作者机构：
[Liu, Yong] Univ South China, Coll Elect Engn, Hengyang 421001, Peoples R China.;[Hu, Ji-wen; Xie, Ya-qian; Liu, Yong] Univ South China, Coll Math & Phys, Hengyang 421001, Peoples R China.
会议名称：
Conference on Biophysical-Society-of-GuangDong-Province-Academic-Forum - Precise Photons and Life Health (PPLH)
会议时间：
DEC 09-11, 2022
会议地点：
Guangzhou, PEOPLES R CHINA
会议主办单位：
[Liu, Yong] Univ South China, Coll Elect Engn, Hengyang 421001, Peoples R China.^[Liu, Yong;Hu, Ji-wen;Xie, Ya-qian] Univ South China, Coll Math & Phys, Hengyang 421001, Peoples R China.
会议论文集名称：
Proceedings of SPIE
关键词：
Atherosclerosis;Electromagnetic wave;Ablation of heat;Finite element method
摘要：
The purpose of this study is to explore the thermal damage of microwave to atherosclerotic plaques in order to achieve the purpose of treating atherosclerosis. In this paper, a fluid-solid-heat coupling model of thermal ablation of atherosclerotic plaque is established (The coupling model of blood-plaque-electromagnetic wave is studied in this paper, in which the thermal ablation of atherosclerotic plaque means that the electromagnetic wave is used to generate heat, and the temperature of atherosclerotic plaque tissue rises. If the cells in it reach the threshold of death temperature, they will be killed, so as to achieve the purpose of thermal ablation.). The electromagnetic field and bio-thermal equation are solved and analyzed by finite element method. By calculating the temperature and thermal damage distribution of microwave on atherosclerotic plaque, the effect of microwave on thermal ablation of atherosclerotic plaque was evaluated. The results show that the thermal damage degree of atherosclerotic plaque is positively correlated with electromagnetic wave frequency, electromagnetic wave power and heating time. The model shows that electromagnetic wave hyperthermia may provide a new therapeutic mode for thermal ablation of atherosclerotic plaques.
会议名称：
9th International Forum on Electrical Engineering and Automation (IFEEA)
会议时间：
NOV 04-06, 2022
会议地点：
ELECTR NETWORK
会议主办单位：
[Wang, Shoutao;Chen, Wenguang;Liu, Zhijian;Wei, Caiyi;Peng, Yuanyuan] Univ South China, Sch Elect Engn, Hengyang, Peoples R China.
关键词：
Printed circuit board;Bidirectional pulse power supply;Forward and reverse pulse duty cycle ratio;Current density;Frequency
摘要：
Printed circuit boards are the most important basic electronic components in the electronics industry, and copper plating technology is widely used in the field of printed circuit board manufacturing. Pulse plating is more efficient and environmentally friendly than DC plating, and the plating layer of pulse plating is more uniform and detailed. The effect of bidirectional pulse power supply parameters on the copper plating effect of printed circuit board surface was investigated by using a self-developed bidirectional pulse power supply. The experimental results show that the frequency, forward and reverse pulse duty cycle and current density of the bidirectional pulse power supply have certain effects on the copper plating effect.
作者机构：
[Zhang, XZ; Zhang, Xiaozhi; Zhou, Liu] Univ South China, Sch Elect Engn, Hengyang 421001, Peoples R China.;[Zhu, Minjie; Ouyang, Lijun; Ouyang, Yan; Xiong, Dongping; Ouyang, LJ] Univ South China, Sch Comp Software, Hengyang 421001, Peoples R China.
会议名称：
14th International Conference on Graphics and Image Processing (ICGIP)
会议时间：
OCT 21-23, 2022
会议地点：
ELECTR NETWORK
会议主办单位：
[Zhou, Liu;Zhang, Xiaozhi] Univ South China, Sch Elect Engn, Hengyang 421001, Peoples R China.^[Zhu, Minjie;Xiong, Dongping;Ouyang, Lijun;Ouyang, Yan] Univ South China, Sch Comp Software, Hengyang 421001, Peoples R China.
会议论文集名称：
Proceedings of SPIE
关键词：
Magnetic resonance imaging (MRI);fast MRI;deep learning;Non-Local;remote dependencies
摘要：
As an advanced medical imaging technology, magnetic resonance imaging (MRI) has great advantages and application potentials in medical clinical diagnosis. However, since the long scanning time and the artifacts caused by patient movements, the imaging results are always not satisfactory. Therefore, accelerating MRI and improving the imaging quality are the key problems. In this work, we propose a novel deep network that combines the U-net architecture with non-local attention blocks for MRI reconstruction. We employ the U-net to construct the basic network. The non-local attention is exploited to capture the remote dependencies in MRI images which calculates the weighted average of the remaining multiple location features as the value of the response location. The U-net has limitations in capturing long-term dependencies, however, the non-local attention can solve this problem well. Furthermore, we develop the residual module to better retain the detail information. The proposed model is compared with some recent leading MRI reconstruction methods, including the state-of-the-art deep learning-based methods. Compared with these methods, the proposed residual non-local attention network provides superior MRI reconstruction results and retains better perceptual image details.
作者机构：
[Xie, Fuqiang; Guo, Lei; Yang, Bin] Univ South China, Sch Elect Engn, Hengyang, Peoples R China.
会议名称：
8th International Conference on Hydraulic and Civil Engineering - Deep Space Intelligent Development and Utilization Forum (ICHCE)
会议时间：
NOV 25-27, 2022
会议地点：
Xian, PEOPLES R CHINA
会议主办单位：
[Guo, Lei;Xie, Fuqiang;Yang, Bin] Univ South China, Sch Elect Engn, Hengyang, Peoples R China.
关键词：
component;Deep learning;Lane detection;non-local attention;frame-similarity loss
摘要：
Lane detection plays an important role in autonomous driving. For video instance lane detection, both global spatial and temporal information is significantly important. However, the global spatial features and the temporal features are not been well exploited in recent studies. In this work, we address the video instance lane detection task by capturing global context based on non-local attention network. Specifically, we designed a twin non-local attention network to extract long-range dependencies along the spatial and temporal dimensions, respectively. Meanwhile, the global spatial and temporal features can be adaptively fused by gating mechanisms for better results. In addition, the frame-similarity loss is proposed to further exploit the information of adjacent frames. The experimental results on the video instance lane detection (VIL-100) dataset verify that our method achieves better results compared with other comparison methods. Ablation experiments further demonstrate the effectiveness of each sub-module.
作者机构：
[Li, Longjin; Jia, Lei] Univ South China, Dept Elect Engn, Hengyang, Peoples R China.
会议名称：
25th International Conference on Electrical Machines and Systems (ICEMS)
会议时间：
NOV 29-DEC 02, 2022
会议地点：
Rajamangala Univ Technol Lanna, Chiang Mai, THAILAND
会议主办单位：
Rajamangala Univ Technol Lanna
会议论文集名称：
International Conference on Electrical Machines and Systems ICEMS
关键词：
Brushless doubly-fed generator;Pole-changing;Finite element
摘要：
In this paper, a nested-loop rotor brushless doubly-fed generator (BDFG) with improved stator single winding pole-changing design scheme is presented. The BDFG is simulated at 400 rpm and 600 rpm through finite element (FE) method. It is found that the improved stator single winding pole-changing design scheme is effective in reducing the machine harmonic contents and improving the PW generated voltage, CW current waveforms quality.
摘要：
Nowadays, falling is a growing threat to the elderly. This paper combines millimeter wave radar technology, machine learning algorithm, wireless communication technique and cloud platform to realize a fall detection system. In this project, the millimeter wave radar is used to sample the human posture point cloud data, and we create a data set that consist of point of clouds of two different human poses. Random forest and BP neural network are used to train the fall detection model. The system will send the human posture point data to the trained model and realize the fall detection. Besides, the system will use 4G communication technology to transform the data to the web cloud platform. This web page serves as an warning function, which can report the acceleration, speed and other information. According to our experiments, the millimeter wave radar system that we built in this paper can effectively detect human point cloud, and can send human point cloud data packets to the recognition model to detect human falls. In machine learning part, both Random forest and BP neural network models show very strong robustness after repeated adjusting parameters. Random forest has the advantages of light weight and interpretability, which can reach 93% recognition accuracy. The recognition accuracy of BP neural network is even up to 95%, which is higher than other detection models in previous works. Besides, BP neural network model also has higher recall rate in the categories of human falls, which fully meets the requirements of this project.
作者机构：
[Liu, Chong; Yang, Mei] Univ South China, Sch Elect Engn, Hengyang 421001, Peoples R China.;[Shao, CP; Shao, Cuiping; Yang, Mei; Li, Huiyun] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China.
会议名称：
21st IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom)
会议时间：
DEC 09-11, 2022
会议地点：
Wuhan, PEOPLES R CHINA
会议主办单位：
[Yang, Mei;Liu, Chong] Univ South China, Sch Elect Engn, Hengyang 421001, Peoples R China.^[Yang, Mei;Li, Huiyun;Shao, Cuiping] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China.
会议论文集名称：
IEEE International Conference on Trust Security and Privacy in Computing and Communications
关键词：
Internet of Vehicles;Security certification;SM2 Digital signature;HF(2(233));FPGA
摘要：
The rapid development of the Internet of Vehicles (IoV) provides a strong technical guarantee for intelligent transportation, greatly facilitating people's daily travel. At the same time, its security problems are becoming increasingly prominent. Fortunately, the cryptographic integrated circuits (ICs) provide a security guarantee for the IoV access authentication, traffic management, data communication, etc., which is the core and cornerstone of the IoV cryptographic technology. However, the IoV has high requirements for timeliness, and its communication resources are precious, so its necessary to ensure that the overhead of the cryptographic module is small and the delay is low. In this paper, we adopt SM2 Elliptic Curve Public Key Digital Signature Algorithm-with fast operation speed and short signature data to implement cryptographic ICs. We design and optimize its hardware design to balance overhead and efficiency. Based on the Montgomery point multiplication algorithm in Lopez-Dahab (LD) projection coordinates, we have researched the core point multiplication operation in SM2 and optimized the time-consuming operation in finite fields, which improved the computational efficiency of SM2. Finally, we completed the hardware design of SM2 on GF(2(233)) domain and verified it on a Xilinx Kintex-7 FPGA development board. The experiment results show that the design occupies a total of 77,665 Slice LUTs and merely takes 2.57 mu s to complete a signature verification. The signature verification rate is 389,105 times/s. Compared with traditional solutions, our proposed method achieves less overhead and little latency.
摘要：
Sensing intrusion is a new threat to information security of automatic driving system, which employs digital noise like adversarial sample to show sensors fake information, aiming to mislead decision making and eventually achieve the hacker's illegal intention. Unfortunately, it is difficult for most traditional information security techniques to deal with this novel risk. Even if the methods like outlier detection can pick out the abnormal sensing data, they still hardly tell the samples containing adversarial noise. In this paper, a method based on semantic similarity check is proposed to address this issue. Scene semantic centroid is introduced to represent the core semantics of a category of driving scene. Correspondingly, each component of the centroid is used to depict the standard sensing semantics for each sensor in this kind of scene. On this basis, a straightforward algorithm is proposed to simultaneously detect both abnormal driving scene and the sensors that may be hacked. Considering the raw sensing semantic space is too high dimensional and too sparse to handle efficiently, a scene semantic autoencoder is developed to extract scene semantic centroid by semantic embedding. The experiments on Nuscenes dataset show that the proposed method is not only feasible to identify the suspicious intruded sensors, but also more effective and accurate than the traditional abnormal sensing data detection.
摘要：
This work investigates a joint power allocation and transmission scheduling algorithm for underwater acoustic (UWA) networks to improve the throughput by leveraging the low sound speed in water. We consider a round-based UWA system where transmission links are active concurrently to send multiple signal blocks during each round. To mitigate the interference, a quasi-interference alignment (IA) method is proposed where the interference signals are aligned as much as possible while a low level of collisions between useful and interference signals is allowed. Specifically, the transmission starting time and transmission power are jointly optimized to maximize the total transmission capacity. Different from the conventional IA, the proposed mechanism intends to reduce the total reception time by tolerating slight collisions of useful signals while adapts the power allocation to compensate for the collisions, which could increase the transmission degrees of freedom (d.o.f.). To solve the optimization problem in a tractable way, we decompose the problem into two smaller sub-problems which optimize the transmission schedule and power allocation with a smaller feasible region. The simulation results show that, with an appropriate collision level, the proposed method could achieve decent throughput improvement, compared to the conventional IA and a benchmark method which solves the optimization problem by the genetic algorithm.
作者机构：
[Zhou, Rui; He, Hongyu] Univ South China, Sch Elect Engn, Hengyang 421001, Peoples R China.;[Zhou, Rui; Zhang, Kangshuai; Peng, Lei] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China.;[Shu, Hongfeng; Liu, Qi] Shenzhen SmartC Technol Dev Grp Co Ltd, Shenzhen 518038, Peoples R China.
会议名称：
IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
会议时间：
OCT 08-12, 2022
会议地点：
Macau, PEOPLES R CHINA
会议主办单位：
[Zhou, Rui;He, Hongyu] Univ South China, Sch Elect Engn, Hengyang 421001, Peoples R China.^[Zhou, Rui;Zhang, Kangshuai;Peng, Lei] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China.^[Shu, Hongfeng;Liu, Qi] Shenzhen SmartC Technol Dev Grp Co Ltd, Shenzhen 518038, Peoples R China.
会议论文集名称：
IEEE International Conference on Intelligent Transportation Systems-ITSC
关键词：
5G RSU scheduling;5G RSU energy optimization;Working efficiency per unit energy consumption
摘要：
High energy consumption of roadside unit (RSU) is a great challenge to the deployment of 5G Vehicle-to-Infrastructure(V2I) communication network in large scale. Compared with letting all RSUs work all day, scheduling RSU according to actual V2I traffic load is no doubt an intuitive and ideal energy optimization solution. In this paper, an energy optimization model is proposed to maximize the working efficiency per unit energy consumption of RSU under the premise of meeting V2I communication needs. The periodic statistical features of the travel time and the amount of V2I communication traffic when vehicles passing through RSUs are introduced as the model inputs to endow the model with the adaptability to real-time traffic flow. Afterwards,the method of deep reinforcement learning is applied to solve the approximate optimal solutions. Experiment results demonstrate that the proposed method is feasible and effective, as it can adaptively adjust the duty RSUs with the change of traffic flow to reduce the overall energy consumption compared with other simplistic energy-saving methods that are usually used in practice.
作者机构：
[Qu, Xing; Wen, Juan] Univ South China, Coll Elect Engn, Hengyang, Peoples R China.
会议名称：
5th Asia Conference on Power and Electrical Engineering (ACPEE)
会议时间：
JUN 04-07, 2020
会议地点：
Chengdu, PEOPLES R CHINA
会议主办单位：
[Wen, Juan;Qu, Xing] Univ South China, Coll Elect Engn, Hengyang, Peoples R China.
关键词：
Complex distribution network;service restoration;dynamic topology analysis;distributed generator;network optimization
摘要：
This paper presents a hierarchical electric service restoration mechanism for complex distribution networks to maximize restoration of out-of-service loads. Once a fault occurs, the dynamic topology analysis method is used to determine out-of-service areas, match restoration scheme, and update topological structure. Out-of-service loads can be restored by creating micro grid with distributed generators or network reconfiguration with main grid. And the optimal islanding strategy is determined to improve the utilization of distributed generator in the former condition. For the latter condition, the aim is to identify a reasonable service path to transfer the out-of-service loads to neighboring feeders. After then the connectivity of the main grid with distributed generators is restored. Whether the network optimization is carried out or not which depends on violations of the power flow constraints. Moreover, a new code scheme with avoiding infeasible solutions is employed to maintain the radial nature of the distribution network. Illustrative examples verify that the proposed mechanism can be obtained the reasonable restoration plans under multi-type faults.
摘要：
In order to improve the quality of peak characteristics extraction in chromatographic data, an automatic peak fitting method based on wavelet ridges and morphology (WMPF) was proposed. In handling overlapping peaks and weak peaks, WMPF gave solution to deal with the shortcomings of existing peak detection methods. The ridge line of the signal was obtained by wavelet transform of the original chromatogram signal, and the signal was divided into peak areas and non-peak areas. Then, we processed morphological operations with an adaptive window, and combined Gaussian fitting with wavelet ridge information. Finally, the peak characteristics of the signal were extracted. Through the analysis of high-density lipoprotein electrophoretogram data, it was confirmed that the proposed method was effective for baseline separation, noise elimination, peak detection and overlapping peak recognition.
会议名称：
3rd IEEE International Electrical and Energy Conference (CIEEC)
会议时间：
SEP 07-09, 2019
会议地点：
Beijing, PEOPLES R CHINA
会议主办单位：
[Gui, Chengdong;Chen, Wenguang;Du, Jia;Hu, Wei] Univ South China, Sch Elect Engn, Hengyang 421000, Hunan, Peoples R China.
关键词：
Cooling system;Mathematical model;Coolant Temperature;Energy consumption optimization;Fuzzy control
摘要：
From the perspective of thermodynamics, based on the structural characteristics of the vehicle engine permanent magnet synchronous motor (PMSM) driving cooling system and the principle of heat dissipation, a simplified mathematical model of the cooling system is established. Taking the optimal coolant temperature and system energy consumption optimization at the engine as the research goal, the fuzzy control algorithm is adopted to adjust the speed of the motor-driven cooling fan, and a nonlinear control strategy is introduced for a comparative study. The energy consumption of the cooling system is analyzed and optimized to ensure optimum engine outlet coolant temperature. The results show that the fuzzy control strategy has a fast response speed, which can control the coolant temperature at engine outlet within 90 +/- 0.25 degrees C, and can reduce the energy consumption of the entire cooling system.
作者机构：
[Wang, Xu; Wang, Minghua; Wang, Yan] Univ South China, Sch Elect Engn, Hunan Prov Key Lab Ultrafast Micro Nano Technol &, Hengyang, Peoples R China.;[Wang, Minghua] Univ South China, Cooperat Innovat Ctr Nucl, Fuel Cycle Technol & Equipment, Hengyang, Peoples R China.;[Yi, Lingzhi] Univ South China, Sch Civil Engn, Hengyang, Peoples R China.
会议名称：
IEEE Int Congr on Cybermat / 12th IEEE Int Conf on Cyber, Phys and Social Comp (CPSCom) / 15th IEEE Int Conf on Green Computing and Communications (GreenCom) / 12th IEEE Int Conf on Internet of Things (iThings) / 5th IEEE Int Conf on Smart Data
会议时间：
JUL 14-17, 2019
会议地点：
Atlanta, GA
会议主办单位：
[Wang, Xu;Wang, Minghua;Wang, Yan] Univ South China, Sch Elect Engn, Hunan Prov Key Lab Ultrafast Micro Nano Technol &, Hengyang, Peoples R China.^[Wang, Minghua] Univ South China, Cooperat Innovat Ctr Nucl, Fuel Cycle Technol & Equipment, Hengyang, Peoples R China.^[Yi, Lingzhi] Univ South China, Sch Civil Engn, Hengyang, Peoples R China.
关键词：
VHF Data Exchange System;Filtered Multitone Modulation;Mullipath Fading
摘要：
With the vigorous development of the navigation industry, the VDES(VHF Data Exchange System) has received extensive attention from various research institutions. In order to solve the multipath fading problem in VHF wireless channel transmission, this paper integrates FMT (Filtered Multitone Modulation) technology into VDES ground subsystem, redesigns the system time slot structure under the protocol framework, constructs the underlying communication link of VDES ground subsystem based on FMT. Simulation results show that the performance of the system using FMT technology is slightly better than that using OFDM technology, and the spectrum utilization and frequency offset resistance are improved. Research demonstrates that the introduction of FMT into VDES can effectively solve the multipath interference problem and has certain value for the practical application of VDES.
摘要：
The power system is an important part of the spacecraft. The Superbuck converter is a high-order topology with continuous current and high efficiency. However, when the main circuit parameters are improperly selected, the right half-plane (RHP) zero-point exists in the small-signal model of the converter, which increases the difficulty of the control system design. In this paper, methods such as increasing the damping loop and optimizing the control loop are used to improve the stability of the converter. The main circuit parameters were analyzed and calculated. The PSIM software was used to analyze the time domain transient, frequency domain characteristics, ripple and parameter scanning of the circuit model with parasitic parameters. The voltage control method was selected and the modules of the control loop were designed. The Bode plot shows that the system is robust enough and stable. In addition, using the CST software to simulate the electromagnetic field distribution of the devices. The simulation results can lay a good foundation for the actual production in the next step. Due to its unique advantages, Superbuck circuit will have broad application prospects in the space power controller unit(PCU).
期刊：
2018 9th International Conference on Computer Aided Design for Thin-Film Transistor Technologies, CAD-TFT 2018,2019年:18-19
通讯作者：
He, Hongyu
作者机构：
[He, Hongyu] Univ South China, Sch Elect Engn, Hengyang 421001, Peoples R China.;[He, Hongyu; Zhang, Shengdong; Lin, Xinnan] Peking Univ, Sch Elect & Comp Engn, Shenzhen Grad Sch, Shenzhen 518005, Peoples R China.;[Liu, Yuan; Zheng, Xueren] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Guangdong, Peoples R China.;[Yan, Binghui] South China Agr Univ, Coll Elect Engn, Guangzhou 510642, Guangdong, Peoples R China.
通讯机构：
[He, Hongyu] U;[He, Hongyu] P;Univ South China, Sch Elect Engn, Hengyang 421001, Peoples R China.;Peking Univ, Sch Elect & Comp Engn, Shenzhen Grad Sch, Shenzhen 518005, Peoples R China.
会议名称：
9th Inthernational Conference on Computer Aided Design for Thin-Film Transistors (CAD-TFT)
会议时间：
NOV 16-18, 2018
会议地点：
Shenzhen, PEOPLES R CHINA
会议主办单位：
[He, Hongyu] Univ South China, Sch Elect Engn, Hengyang 421001, Peoples R China.^[He, Hongyu;Lin, Xinnan;Zhang, Shengdong] Peking Univ, Sch Elect & Comp Engn, Shenzhen Grad Sch, Shenzhen 518005, Peoples R China.^[Liu, Yuan;Zheng, Xueren] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Guangdong, Peoples R China.^[Yan, Binghui] South China Agr Univ, Coll Elect Engn, Guangzhou 510642, Guangdong, Peoples R China.
关键词：
Amorphous silicon;analytical model;polycrystalline silicon;thin-film transistor;trap states
摘要：
Our previous drain current model for the organic and amorphous InGaZnO thin-film transistors is applied to the amorphous and polycrystalline silicon thin-film transistors. In the drain current model, it is assumed that the trapped carrier concentration is much higher than the free carrier concentration considering both deep trap states and tail trap states in the energy gap of the thin film. The model is valid in both subthreshold and above-threshold regime, and is verified by the available experimental data at different temperatures.
作者：
Yu, T.;Cao, P.*;Ji, X. Y.;Xie, L. K.;Huang, X. R.;...
期刊：
IEEE TRANSACTIONS ON NUCLEAR SCIENCE,2019年66(7):1095-1099 ISSN：0018-9499
通讯作者：
Cao, P.
作者机构：
[An, Q.; Feng, C. Q.; Liu, S. B.; Yu, T.; Huang, X. R.; Yu, L.; Cao, P.] Univ Sci & Technol China, Dept Modern Phys, Hefei 230026, Peoples R China.;[An, Q.; Feng, C. Q.; Liu, S. B.; Yu, T.; Huang, X. R.; Yu, L.; Cao, P.] Key Lab Particle Detect & Elect, Hefei 230026, Peoples R China.;[Xie, L. K.; Ji, X. Y.] Univ Sci & Technol China, Dept Engn & Appl Phys, Hefei 230026, Peoples R China.;[Zhang, L. Y.; Sun, Z. J.; Xie, L. K.; Fan, R. R.; Ji, X. Y.] State Key Lab Particle Detect & Elect, Hefei 230026, Peoples R China.;[Cui, Z. Q.; Bai, H. Y.; Jiang, H. Y.; Zhang, G. H.] Peking Univ, Sch Phys, State Key Lab Nucl Phys & Technol, Inst Heavy Ion Phys, Beijing 100871, Peoples R China.
通讯机构：
[Cao, P.] U;Univ Sci & Technol China, Dept Modern Phys, Hefei 230026, Peoples R China.
会议名称：
21st IEEE-Nuclear-and-Plasma-Sciences-Society (NPSS) Real Time (RT) Conference
会议时间：
JUN 09-15, 2018
会议地点：
Williamsburg, VA
会议主办单位：
[Yu, T.;Cao, P.;Huang, X. R.;An, Q.;Feng, C. Q.;Liu, S. B.;Yu, L.] Univ Sci & Technol China, Dept Modern Phys, Hefei 230026, Peoples R China.^[Yu, T.;Cao, P.;Huang, X. R.;An, Q.;Feng, C. Q.;Liu, S. B.;Yu, L.] Key Lab Particle Detect & Elect, Hefei 230026, Peoples R China.^[Ji, X. Y.;Xie, L. K.] Univ Sci & Technol China, Dept Engn & Appl Phys, Hefei 230026, Peoples R China.^[Ji, X. Y.;Xie, L. K.;Fan, R. R.;Sun, Z. J.;Zhang, L. Y.] State Key Lab Particle Detect & Elect, Hefei 230026, Peoples R China.^[Bai, H. Y.;Cui, Z. Q.;Jiang, H. Y.;Zhang, G. H.] Peking Univ, Sch Phys, State Key Lab Nucl Phys & Technol, Inst Heavy Ion Phys, Beijing 100871, Peoples R China.^[Bao, J.;He, G. Z.;Huang, H. X.;Luan, G. Y.;Ren, J.;Ruan, X. C.;Tang, H. Q.;Wang, Q.;Wang, Z. H.;Wu, X. G.;Zhang, Q. W.;Zhong, Q. P.;Zhou, Z. Y.] China Inst Atom Energy, Beijing 102413, Peoples R China.^[Chen, Y. H.;Fan, R. R.;Gu, M. H.;He, Y. C.;Huang, W. L.;Ji, X. L.;Jiang, W.;Jing, H. T.;Kang, L.;Li, B.;Li, L.;Li, Q.;Li, X.;Ma, Y. L.;Ning, C. J.;Sun, H.;Sun, X. Y.;Sun, Z. J.;Tan, Z. X.;Tang, J. Y.;Wang, P. C.;Wang, Y. F.;Wang, Z.;Wu, Q. B.;Wu, X.;Yi, H.;Yu, Y. J.;Zhang, L. Y.;Zhang, J.;Zhou, L.;Zhu, K. J.] Chinese Acad Sci, Inst High Energy Phys, Beijing 100049, Peoples R China.^[Chen, Y. H.;Fan, R. R.;Gu, M. H.;He, Y. C.;Huang, W. L.;Ji, X. L.;Jiang, W.;Jing, H. T.;Kang, L.;Li, B.;Li, L.;Li, Q.;Li, X.;Ma, Y. L.;Ning, C. J.;Sun, H.;Sun, X. Y.;Sun, Z. J.;Tan, Z. X.;Tang, J. Y.;Wang, P. C.;Wang, Y. F.;Wang, Z.;Wu, Q. B.;Wu, X.;Yi, H.;Yu, Y. J.;Zhang, L. Y.;Zhang, J.;Zhou, L.;Zhu, K. J.] Dongguan Neutron Sci Ctr, Dongguan 523803, Peoples R China.^[Cheng, P. J.] Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Peoples R China.^[Han, Z. J.;Liu, R.;Liu, X. Y.;Wen, J.;Wen, Z. W.;Yang, Y. W.] CAEP, Inst Nucl Phys & Chem, Mianyang 621900, Sichuan, Peoples R China.^[He, Y. F.] Univ South China, Sch Elect Engn, Hengyang 421001, Peoples R China.^[Song, Z. H.;Zhang, X. P.] Northwest Inst Nucl Technol, Xian 710000, Shaanxi, Peoples R China.^[Wang, T. F.] Beihang Univ, Sch Phys & Nucl Energy Engn, Beijing 100083, Peoples R China.^[Zhang, Q. M.;Zhao, Y. T.] Xi An Jiao Tong Univ, Dept Nucl Sci & Technol, Sch Energy & Power Engn, Xian 710049, Peoples R China.
