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| 1 | A survey of web resources and tools for the study of TCM network pharmacology显示文摘Background: Traditional Chinese medicine (TCM) treats diseases in a holistic manner, while TCM formulae are multi-component, multi-target agents at the molecular level. Thus there are many parallels between the key ideas of TCM pharmacology and network pharmacology. These years, TCM network pharmacology has developed as an interdisciplinary of TCM science and network pharmacology, which studies the mechanism of TCM at the molecular level and in the context of biological networks. It provides a new research paradigm that can use modern biomedical science to interpret the mechanism of TCM, which is promising to accelerate the modernization and internationalization of TCM? Results: In this paper we introduce state-of-the-art free data sources, web servers and softwares that can be used in the TCM network pharmacology, including databases of TCM, drug targets and diseases, web servers for the prediction of drug targets, and tools for network and functional analysis. Conclusions: This review could help experimental pharmacologists make better use of the existing data and methods in their study of TCM. | Jing Zhao Jian Yang Saisai Tian Weidong Zhang | 2019 | Frontiers of Electrical and Electronic Engineering in China2019，7，1： | 17 |
| 2 | An Outlook on Promoting Healthy Development of Renewable Energy显示文摘Importance of developing alternative energy● We shall take alternative energy as a foreseeable,strategic and long-range issue, and pay great attention to it from the angle of national strategy. | Zhao Xizheng: President, China Electricity Council Shi Dinghuan: Counselor, State Council, and Chairman, Chinese Renewable Energy Association Wang Zhongying: Director, Center for Renewable Energy Development, Energy Research Institute, National Development and Reform Commission Zha Aijun: Consultant, Economic Construction Department, Ministry of Finance Xu Haoxun: Global Director Partner, McKinsey & Company Zhang Wenkai | 2008 | Electricity2008，19，4： | 15 |
| 3 | Overview on Submodule Topologies,Modeling,Modulation,Control Schemes,Fault Diagnosis,and Tolerant Control Strategies of Modular Multilevel Converters显示文摘In the present scenario,modular multilevel converters(MMCs)are considered to be one of the most promising and effective topologies in the family of high-power converters because of their modular design and good scalability;MMCs are extensively used in high-voltage and high-power applications.Based on their unique advantages,MMCs have attracted increasing attention from academic circles over the past years.Several studies have focused on different aspects of MMCs,including submodule topologies,modeling schemes,modulation strategies,control schemes for voltage balancing and circulating currents,fault diagnoses,and fault-tolerant control strategies.To summarize the current research status of MMCs,all the aforementioned research issues with representative research approaches,results and characteristics are systematically overviewed.In the final section,the current research status of MMCs and their future trends are emphasized. | Fujin Deng Yongqing Lu Chengkai Liu Qian Heng Qiang Yu Jifeng Zhao | 2020 | Chinese Journal of Electrical Engineering2020，6，1： | 15 |
| 4 | Robust Position Anti-Interference Control for PMSM Servo System With Uncertain Disturbance显示文摘Aiming to suppress the influence of uncertain disturbances in the drive control of permanent magnet synchronous machines(PMSM),such as the parameter uncertainties and load disturbance,a robust anti-interference control for the angular position tracking control of a PMSM servo system has been proposed in this paper.During the position tracking,uncertain system disturbances being regarded as a lumped unknown term will be online observed by a nonlinear disturbance observer(NDOB),of which the influence will consequently be counteracted by a robust backstepping compensator(RBC).The asymptotical stability of proposed control scheme is analyzed and designed according to the Lyapunov stability criterion,and its convergence against the system uncertain disturbance is verified on a prototype PMSM servo platform and shows good performance in rotor angular position tracking and anti-interference. | Longfei Li Jie Xiao Yun Zhao Kan Liu Xiaoyan Peng Haozhe Luan Kaiqing Li | 2020 | CES Transactions on Electrical Machines and Systems2020，4，2： | 13 |
| 5 | On modeling and control of a flexible air-breathing hypersonic vehicle based on LPV method显示文摘这篇文章开发 polytopic 变化的线性参数(LPV ) 模型和礼品为灵活呼吸空气的极超音速的车辆(FAHV ) 的非易碎的 H 2 安排获得的控制。首先, FAHV 的 polytopic LPV 模型能被使用 Jacobian linearization 和张肌产品(TP ) 模型转变途径获得,模拟确认说明 polytopic LPV 模型捕获原来的非线性的系统的本地非线性。基于发达 polytopic LPV 模型,第二,一个非易碎的 gainscheduled 控制方法被建议以便减少在控制器实现遇到的脆弱,有线性矩阵不平等( LMI )的一个凸的优化问题限制为设计速度和高度追踪控制器被提出,它保证 H 2 控制性能索引。最后,数字模拟表明了建议途径的有效性。 | Changyin SUN Yiqing HUANG Chengshan QIAN Li WANG | 2012 | Frontiers of Electrical and Electronic Engineering in China2012，7，1： | 12 |
| 6 | Overview of Fault Diagnosis Theory and Method for Permanent Magnet Machine显示文摘Permanent magnet(PM)machines have been widely used in a variety of industrial and military applications due to their definite advantages of high power density and high efficiency.In some applications such as electric vehicles(EVs)and aircrafts,high reliability and security of the PM machine are critical.Hence,there is rapidly growing interest in strategies to improve the reliability and security of the PM machine from both academia and industry,where fault diagnosis is a requirement.In this paper,common faults of the PM machine are discussed,state of the art in fault diagnosis of PM machine are overviewed in detail,and different fault diagnosis methods are analyzed and compared.Finally,the development tendency of fault diagnosis techniques for the PM machine is prospected. | Ming Cheng Jun Hang Jianzhong Zhang | 2015 | Chinese Journal of Electrical Engineering2015，1，1： | 11 |
| 7 | Accurate Torque Modeling With PSO-Based Recursive Robust LSSVR for a Segmented-Rotor Switched Reluctance Motor显示文摘In order to improve the reliability in torque calculation of SRM,an accurate nonlinear torque model regresses by recursive robust least squares support vector regression(RR-LSSVR)is proposed in this paper.The model is in terms of a segmented-rotor switched reluctance motor(SSRM).The characteristics of the SSRM is introduced to show its nonlinear characteristics both in magnetic and torque.Then,its mathematic model is established,and an accurate inductance measurement method and a torque calculation method are presented.After this,the principle of the RR-LSSVR and why it can adjust weights according to errors are described.The model used the RR-LSSVR algorithm shows an outstanding capability in accuracy and quickness compared with other algorithms.Finally,to further validate the accuracy of the proposed model in practical application,simulation and experiment are designed based on a 16/10 SSRM. | Jiangling Wu Xiaodong Sun Jianguo Zhu | 2020 | CES Transactions on Electrical Machines and Systems2020，4，2： | 11 |
| 8 | Multi-Objective Optimization of Surface-Mounted and Interior Permanent Magnet Synchronous Motor Based on Taguchi Method and Response Surface Method显示文摘The surface-mounted and interior permanent magnet synchronous motor(SIPMSM)has the characteristics of multiple variables,strong coupling and nonlinearity.In order to improve the performance of SIPMSM,this paper presents a multi-objective optimal design process using Taguchi and response surface methodology(RSM).The peak value of cogging torque(PVCT),ratio value of average torque and permanent magnet weight(RTW),torque ripple and back-EMF total harmonics distortion(ETHD)are selected as optimization goals.The experiment matrix is established by Taguchi method,and analyzed the tendency and proportion of the effect of the optimization parameters on SIPMSM performance.The rules of choosing multi-objective optimization parameters are obtained.The least-squares method is used to establish the optimal objective function,and RSM is used to obtain the resolutions of the optimization objective function.Comparing the initial performance with optimized performance verifies the effectiveness of the proposed method. | Jikai Si Suzhen Zhao Haichao Feng Ruiwu Cao Yihua Hu | 2018 | Chinese Journal of Electrical Engineering2018，4，1： | 11 |
| 9 | An Optimal Coordination Control Strategy of Micro-Grid Inverter and Energy Storage Based on Variable Virtual Inertia and Damping of VSG显示文摘The virtual inertia and virtual damping affect both the dynamic stability of the virtual synchronous generator(VSG)and the configuration of energy storage,but there is a conflict between them while selecting the virtual inertia and virtual damping.An optimal coordination control strategy of micro-grid inverter and energy storage based on variable virtual inertia and damping is proposed to mitigate this conflict.With the integrated optimal constraint of the VSG frequency variation and the energy storage capacity,the virtual inertia and damping of VSG are configured dynamically,adopting linear quadratic optimal control.It can suppress the oscillations of the active power and frequency to improve the stability of VSG and optimally configure the energy storage capacity of VSG simultaneously.The proposed strategy aims to improve the control performance of micro-grid inverter and the system economy.The simulation and experimental results verify the effectiveness of the strategy. | Xing Zhang Fubin Mao Haizhen Xu Fang Liu Ming Li | 2017 | Chinese Journal of Electrical Engineering2017，3，3： | 10 |
| 10 | On-Line Fault Diagnosis and Fault-Tolerant Operation of Modular Multilevel Converters –A Comprehensive Review显示文摘Modular multilevel converters(MMCs)have been one of the most broadly used multilevel converter topologies in industrial applications,particularly in medium-voltage motor drives and high-voltage dc power conversion systems.However,due to the utilization of large amount of semiconductor devices,the reliability of MMCs becomes one of the severe challenges constraining their further development and applications.In this paper,common electrical faults of the MMC have been summarized and analyzed,including open-circuit switching faults,short-circuit switching faults,dc-bus short-circuit faults,and single line-to-ground faults on the ac side.A thorough and comprehensive review of the existing online fault diagnostic methods has been conducted.In addition,fault-tolerant operation strategies for such various fault scenarios in MMCs have been presented.All the fault diagnosis and fault-tolerant operation strategies are comparatively evaluated,which aims to provide a state-of-the-art reference on the MMC reliability for future research and industrial applications. | JiangBiao He Qichen Yang Zheng Wang | 2020 | CES Transactions on Electrical Machines and Systems2020，4，4： | 9 |
| 11 | Performance Evaluation of Two-Vector-Based Model Predictive Current Control of PMSM Drives显示文摘Conventional model predictive current control(MPCC)applies only one vector during one control period,which produces large torque and flux ripples and high current harmonics in permanent magnet synchronous motor(PMSM)drives.Recently MPCC with duty cycle control has been proposed to improve the steady state performance by applying one non-zero vector and one null vector during one control period.However,the prior method requires lots of calculations and predictions to find the optimal voltage vectors and calculate their respective duration.Different from prior enumeration-based MPCC,this paper proposes an efficient two-vector MPCC by applying two arbitrary voltage vectors during one control period.The reference voltage vector is firstly calculated based on the principle of deadbeat current control.Two optimal vectors and their duration are then obtained in a very efficient way,which does not require the calculation of current slopes in prior MPCC methods.The proposed method is compared to the state-of-the-art predictive control methods,including conventional MPCC,MPCC with duty cycle control,deadbeat control with space vector modulation(SVM)and modulated model predictive control(M2PC).Both simulation and experimental results prove that the proposed method achieves better steady state performance than conventional MPCC with or without duty cycle and the dynamic response is not degraded.Under the condition of insufficient dc bus voltage,the proposed method outperforms deadbeat control and M2PC by presenting even higher speed range and less torque ripples. | Yongchang Zhang Lanlan Huang Donglin Xu Jiali Liu Jialin Jin | 2018 | Chinese Journal of Electrical Engineering2018，4，2： | 9 |
| 12 | Analysis and Design of Four-Plate Capacitive Wireless Power Transfer System for Undersea Applications显示文摘This paper presents a four-plate undersea capacitive wireless power transfer(CPT)system for underwater applications such as autonomous underwater vehicles(AUVs).Generally,a CPT system transfers the power based on electric fields.The complex resonant compensation networks are used to make the CPT system work in the resonant condition.The resonant voltage is always very high.It will be a big challenge to the human safety.In this paper,a virtual electrons periodic reciprocating flow theory is proposed for the CPT system.In one switching cycle,the electrons firstly flow in the forward direction through the forward path and then flow in the inverse direction through the inverse path.The CPT system has been deeply studied with the vacuum dielectric or the air dielectric.However,for the CPT system,there are few papers to show the underwater application.In this paper,an undersea four-plate CPT system is designed and studied in the underwater condition.The two coupling capacitors and other elements of the CPT system could build a closed-loop path.A small value inductor is adapted as a resonant compensation network for the four-plate CPT system.The DC voltage is inverted to the AC voltage in the primary side with the single-phase full-bridge inverter.The resonant voltage is rectified to the DC voltage in the secondary side with the single-phase full-bridge diode rectifier.A 100 W power level CPT system is constructed to verify the theory analysis and the calculation.The theory analysis is verified by the simulated and experimental results.The stable output voltage and load power are achieved in this paper. | Lei Yang Yuanqi Zhang Xiaojie Li Jiale Jian Zhe Wang Jingjing Huang Li Ma Xiangqian Tong | 2021 | CES Transactions on Electrical Machines and Systems2021，5，3： | 9 |
| 13 | 燃煤电厂烟气脱硫有关问题的思考(英文)显示文摘针对目前我国燃煤电厂烟气脱硫方面存在的工艺技术选择、电厂是否要进行烟气脱硫、烟气脱硫工程公司资质、技术装备国产化、SO2排放费及规范化管理等问题进行了综合分析,提出了建设性意见,对从事燃煤电厂烟气脱硫的各有关方面有一定的参考作用。 | 赵鹏高 | 2004 | Electricity2004，15，4： | 9 |
| 14 | Robust radar automatic target recognition algorithm based on HRRP signature显示文摘自动目标识别(ATR ) 是为现代雷达的重要功能。目标的高分辨率范围侧面(HRRP ) 包含目标结构签名,例如目标尺寸, scatterer 分发,等等,它是为 ATR 的有希望的签名。目标 HRRP 的统计建模是为 HRRP 统计识别的关键阶段,包括模型选择和参数评价。为统计识别算法,测试样品作为训练数据的跟随一样的分发模型,这通常被假定。因为收到的 HRRP 的 signal-to-noise 比率(SNR ) 是目标距离的功能,假设不能在实践被遇见。在这份报纸,我们在场为 HRRP 统计识别的一个柔韧的方法测试 HRRP 的 SNR 什么时候比训练的低,取样。噪音是散布的假定独立 Gaussian,当 HRRP 被概率的主要部件分析(PPCA ) 建模时模型。模仿的实验基于测量数据显示出建议方法的有效性。 | Hongwei LIU Feng CHEN Lan DU Zheng BAO | 2012 | Frontiers of Electrical and Electronic Engineering in China2012，7，1： | 8 |
| 15 | A New Switching Sequences of SVPWM for Six-Phase Induction Motor with Features of Reduced Switching Losses显示文摘In this paper,new SVPWM switching sequences for six-phase asymmetrical induction motor drives are derived with the aim to reduce inverter’s switching losses.Total three switching sequences are introduced in this paper.These sequences are derived such that the phases get continuously clamped when a current of the phases is around its peak magnitude and hence reduced switching losses are recorded.The comparative performances of these modulation techniques are studied with two existing switching sequences.Simulation,analytical and experimental results are presented.Based on these results,it is found that new switching sequences reduce switching losses effectively in dual three phase inverters. | Shaikh Mohammed Suhel Rakesh Maurya | 2021 | CES Transactions on Electrical Machines and Systems2021，5，2： | 8 |
| 16 | Model Predictive Current Control with Adaptive-adjusting Timescales for PMSMs显示文摘A model predictive current control(MPCC)with adaptive-adjusting method of timescales for permanent magnet synchronous motors(PMSMs)is proposed in this paper to improve the dynamic response and prediction accuracy in transient-state,while lessening the computational burden and improving the control performance in steady-state.The timescale characteristics of different parts of MPCC,such as signal sampling,prediction calculation,control output,model error correction,are analyzed,and the algorithm architecture of MPCC with multi-timescale is proposed.The difference between reference and actual speed,and the change rate of actual speed are utilized to discriminate the transient state of speed change and load change,respectively.Adaptive-adjusting method of control period and prediction stepsize are illustrated in detail after operation condition discrimination.Experimental results of a PMSM are presented to validate the effectiveness of proposed MPCC.In addition,comparative evaluation of single-step MPCC with fixed timescale and proposed MPCC is conducted,which demonstrates the superiority of proposed control strategy. | Feng Niu Xi Chen Shaopo Huang Xiaoyan Huang Lijian Wu Kui Li Youtong Fang | 2021 | CES Transactions on Electrical Machines and Systems2021，5，2： | 8 |
| 17 | A Technology for Online Parameter Identification of Permanent Magnet Synchronous Motor显示文摘Accuracy of the motor parameters is important in realizing high performance control of permanent magnet synchronous motor(PMSM).However,the inductance and resistance of motor winding vary with the change of temperature,rotor position and current frequency.In this paper,a technology based on circuit model is introduced for realizing online identification of the parameter of PMSM.In the proposed method,a set of nonlinear equations containing the parameters to be identified is established.Considering that it is very difficult to obtain the analytical solution of a nonlinear system of equations,Newton iterative method is used for solving the equations.Both the simulation and testing results confirm the effectiveness of the method presented. | XiaoJun MA Chao BI | 2020 | CES Transactions on Electrical Machines and Systems2020，4，3： | 8 |
| 18 | A Grid Interface Current Control Strategy for DC Microgrids显示文摘In this paper,a grid interface current control strategy is presented for a DC microgrid,which aims to reduce the disturbance from PV generation and the load variation to the main grid without a grid interface converter.The grid interface current is directly controlled by a battery DC-DC converter within the DC microgrid.Based on a comprehensive analysis of the battery DC-DC converter and interface current control,the control system has been mathematically modelled.This enabled two transfer functions to be derived that reflect the dynamic response of the inductor current to the duty cycle variation(inner loop),and the dynamic response of the grid interface current to the inductor current variation(outer loop).Experimental study has been done to assess the effectiveness of the proposed control strategy.The experimental results indicate that the proposed control strategy has a good performance to control the grid interface current without an interface converter,regardless the variations of both PV and the load conditions. | Muhannad Alshareef Zhengyu Lin Fulong Li Fei Wang | 2021 | CES Transactions on Electrical Machines and Systems2021，5，3： | 8 |
| 19 | Predicting enhancer-promoter interaction from genomic sequence with deep neural networks显示文摘Background:In the human genome,distal enhancers are involved in regulating target genes through proximal promoters by forming enhancer-promoter interactions.Although recently developed high-throughput experimental approaches have allowed us to recognize potential enhancer-promoter interactions genome-wide,it is still largely unclear to what extent the sequence-level information encoded in our genome help guide such interactions.Methods:Here we report a new computational method (named 'SPEID') using deep learning models to predict enhancer-promoter interactions based on sequence-based features only,when the locations of putative enhancers and promoters in a particular cell type are given.Results:Our results across six different cell types demonstrate that SPEID is effective in predicting enhancerpromoter interactions as compared to state-of-the-art methods that only use information from a single cell type.As a proof-of-principle,we also applied SPEID to identify somatic non-coding mutations in melanoma samples that may have reduced enhancer-promoter interactions in tumor genomes.Conclusions^ This work demonstrates that deep learning models can help reveal that sequence-based features alone are sufficient to reliably predict enhancer-promoter interactions genome-wide. | Shashank Singh Yang Yang Barnabas Poczos Jian Ma | 2019 | Frontiers of Electrical and Electronic Engineering in China2019，7，2： | 8 |
| 20 | PSO Based Controlled Six-phase Grid Connected Induction Generator for Wind Energy Generation显示文摘This paper deals a detailed performance investigation of asymmetrical six-phase grid connected induction generator(GCIG)in two proposed configurations in variable speed operation.During the system development,regulation of DC-link voltage has been proposed using particle swarm optimization(PSO)based PI controller,ensuring the power flow to utility grid through back to back converters.The closed loop operation of asymmetrical six-phase GCIG using indirect field oriented control in different configurations has been carried out in Matlab/Simulink environment.Analytical results have been verified using real time test results on virtual platform of Typhoon HIL supported with some experimental validation. | Arif Iqbal Girish Kumar Singh | 2021 | CES Transactions on Electrical Machines and Systems2021，5，1： | 7 |
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