{"title":"Research on Magnetically Coupled Resonant Detection Method for Breakpoint of Four Mesh Grounding Grid","authors":"Weihua Chen;Shuai Wang;Xiaoheng Yan;Zhiquan Ye","doi":"10.30941/CESTEMS.2023.00019","DOIUrl":"https://doi.org/10.30941/CESTEMS.2023.00019","url":null,"abstract":"Magnetically coupled resonant technology is a novel method for solving the breakpoint locating of power grounding grid. But the method can only detect breakpoints of a single mesh grounding grid at present. In this paper, a magnetically coupled resonant detection method for four-hole grounding grid breakpoint is proposed. Firstly, the equivalent circuit model of the four mesh grounding grid with two types of breakpoints, namely edge branch and intermediate branch, is established. The input impedance and phase angle of the system are obtained by analyzing the equivalent capacitance and equivalent resistance in the model. Secondly, the magnetically coupled resonant physical process of grounding grid faults is solved via HFSS software. The magnetic field intensity and phase frequency characteristic curves of four mesh holes with different branches and positions of breakpoints and different corrosion degrees are studied, and an experimental system is built to verify the feasibility. The results show that under the condition of grounding grid buried depth of 0.5 m and input frequency of 1∼15MHz, and there is an inverse relationship between equivalent capacitance and distortion frequency, the phase angle is positively correlated with the degree of corrosion of grounding grid, and the error of signal distortion frequency can be positioned at 5%. This paper provides some ideas for the application of magnetic coupling grounding grid detection technology.","PeriodicalId":100229,"journal":{"name":"CES Transactions on Electrical Machines and Systems","volume":"7 2","pages":"218-228"},"PeriodicalIF":0.0,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873789/10172142/10122807.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68148002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xuan Li;Yawei Wang;Yuhang Cheng;Dawei Li;Ronghai Qu
{"title":"An Overview of High-efficiency Synchronous Reluctance Machines","authors":"Xuan Li;Yawei Wang;Yuhang Cheng;Dawei Li;Ronghai Qu","doi":"10.30941/CESTEMS.2023.00030","DOIUrl":"https://doi.org/10.30941/CESTEMS.2023.00030","url":null,"abstract":"In recent years the synchronous reluctance machines (SynRMs) have received much attention. They have some good features such as high torque density, high reliability and low cost. This paper aims to give an overview of SynRMs with particular emphasis on the history, research status and industrial application. Besides, concept and basic operating principles of such machines are also described. Moreover, some hot spots of the research on the SynRMs are introduced. Several methods to improve the average torque and reduce torque ripple of the SynRMs in the past literatures are presented including topology design and control strategies. An overview of the methods from different aspects to realize high efficiency for the SynRMs is given which contain rotor optimization, winding configuration, material improvement, control schemes and so on. Some approaches suitable for high speed application are also introduced. It can be seen that the SynRMs have broad development prospects and great potential in industrial application.","PeriodicalId":100229,"journal":{"name":"CES Transactions on Electrical Machines and Systems","volume":"7 1","pages":"81-91"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873789/10091481/10091483.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68173244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Content","authors":"","doi":"","DOIUrl":"https://doi.org/","url":null,"abstract":"","PeriodicalId":100229,"journal":{"name":"CES Transactions on Electrical Machines and Systems","volume":"7 1","pages":"1-1"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873789/10091481/10091482.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68173253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptive Gain Tuning Rule for Nonlinear Sliding-Mode Speed Control of Encoderless Three-Phase Permanent Magnet Assisted Synchronous Motor","authors":"Ghada A. Abdel Aziz;Rehan Ali Khan","doi":"10.30941/CESTEMS.2023.00025","DOIUrl":"https://doi.org/10.30941/CESTEMS.2023.00025","url":null,"abstract":"In this paper, an adaptive gain tuning rule is designed for the nonlinear sliding mode speed control (NSMSC) in order to enhance the dynamic performance and the robustness of the permanent magnet assisted synchronous reluctance motor (PMa-SynRM) with considering the parameter uncertainties. A nonlinear sliding surface whose parameters are altering with time is designed at first. The proposed NSMSC can minimize the settling time without any overshoot via utilizing a low damping ratio at starting along with a high damping ratio as the output approaches the target set-point. In addition, it eliminates the problem of the singularity with the upper bound of an uncertain term that is hard to be measured practically as well as ensures a rapid convergence in finite time, through employing a simple adaptation law. Moreover, for enhancing the system efficiency throughout the constant torque region, the control system utilizes the maximum torque per ampere technique. The nonlinear sliding surface stability is assured via employing Lyapunov stability theory. Furthermore, a simple sliding mode estimator is employed for estimating the system uncertainties. The stability analysis and the experimental results indicate the effectiveness along with feasibility of the proposed speed estimation and the NSMSC approach for a 1.1-kW PMa-SynRM under different speed references, electrical and mechanical parameters disparities, and load disturbance conditions.","PeriodicalId":100229,"journal":{"name":"CES Transactions on Electrical Machines and Systems","volume":"7 3","pages":"301-310"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873789/10272303/10053627.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68150010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fault Detection for Motor Drive Control System of Industrial Robots Using CNN-LSTM-based Observers","authors":"Tao Wang;Le Zhang;Xuefei Wang","doi":"10.30941/CESTEMS.2023.00014","DOIUrl":"https://doi.org/10.30941/CESTEMS.2023.00014","url":null,"abstract":"The complex working conditions and nonlinear characteristics of the motor drive control system of industrial robots make it difficult to detect faults. In this paper, a deep learning-based observer, which combines the convolutional neural network (CNN) and the long short-term memory network (LSTM), is employed to approximate the nonlinear driving control system. CNN layers are introduced to extract dynamic features of the data, whereas LSTM layers perform time-sequential prediction of the target system. In terms of application, normal samples are fed into the observer to build an offline prediction model for the target system. The trained CNN-LSTM-based observer is then deployed along with the target system to estimate the system outputs. Online fault detection can be realized by analyzing the residuals. Finally, an application of the proposed fault detection method to a brushless DC motor drive system is given to verify the effectiveness of the proposed scheme. Simulation results indicate the impressive fault detection capability of the presented method for driving control systems of industrial robots.","PeriodicalId":100229,"journal":{"name":"CES Transactions on Electrical Machines and Systems","volume":"7 2","pages":"144-152"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873789/10172142/10032059.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68147991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cyber-physical Modeling Technique based Dynamic Aggregation of Wind Farm Considering LVRT Characteristic","authors":"Guiqing Ma;Yunlu Li;Junyou Yang;Bing Wu","doi":"10.30941/CESTEMS.2023.00024","DOIUrl":"https://doi.org/10.30941/CESTEMS.2023.00024","url":null,"abstract":"With the increasing penetration of wind power, large-scale integrated wind turbine brings stability and security risks to the power grid. For the aggregated modeling of large wind farms, it is crucial to consider low voltage ride-through (LVRT) characteristics. However, in aggregation methods, the approximate neglect behavior is essential, which leads to inevitable errors in the aggregation process. Moreover, the lack of parameters in practice brings new challenges to the modeling of a wind farm. To address these issues, a novel cyber-physical modeling method is proposed. This method not only overcomes the aggregation problem under the black-box wind farm but also accurately realizes the aggregation error fitting according to the operation data. The simulation results reveal that the proposed method can accurately simulate the dynamic behaviors of the wind farm in various scenarios, whether in LVRT mode or normal mode.","PeriodicalId":100229,"journal":{"name":"CES Transactions on Electrical Machines and Systems","volume":"7 2","pages":"229-236"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873789/10172142/10032066.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68148001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on Cogging Force Suppression for Toroidal PMLSM Based on Disturbance Observer","authors":"Rongtao Zeng;Jinghong Zhao;Sinian Yan;Yinhao Mao","doi":"10.30941/CESTEMS.2023.00017","DOIUrl":"https://doi.org/10.30941/CESTEMS.2023.00017","url":null,"abstract":"For a new type of toroidal permanent magnet linear motor(TPMLSM), this paper analyzes the thrust fluctuation in the constant acceleration operation of the motor from the Angle of the cogging force of the linear motor. For the motor whose structure has been determined and processed, the structural parameters of the motor cannot be changed, and its performance cannot be improved from the perspective of the motor body. Therefore, this paper tries to consider the influence of the cogging force on the normal operation of the motor from the perspective of control. In this paper, starting from the body structure of motor, first on the annular linear motor of the cogging force characteristics were extracted, and its expression is obtained by Fourier decomposition, then investigated considering the cogging force and does not consider the cogging force control of motor model, it can be seen that the control performance deteriorates significantly after considering cogging force of the motor, and the acceleration fluctuation increases significantly during the operation of the motor. On this basis, disturbance observation algorithm is introduced, and feedforward compensation is carried out by extracting the characteristic values of the disturbance model. The results show that the disturbance observer can suppress the thrust fluctuation caused by the motor cogging force to a large extent, and it can reduce the peak-to-peak value of the thrust fluctuation by more than 85% during the motor acceleration operation.","PeriodicalId":100229,"journal":{"name":"CES Transactions on Electrical Machines and Systems","volume":"7 2","pages":"187-192"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873789/10172142/10032062.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68147990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dry-Type AMDT Fault Detection Based on Vibration Signal Analysis by Wavelet Packet","authors":"Daosheng Liu;Peng Li;Yijie Chen","doi":"10.30941/CESTEMS.2023.00023","DOIUrl":"https://doi.org/10.30941/CESTEMS.2023.00023","url":null,"abstract":"Amorphous metal distribution transformers (AMDT) are widely used in power grids due to their low no-load loss. Many scholars have carried out research on the fault detection of transformer windings, tap changers and the other parts. However, due to the high magnetostriction of the amorphous alloy, the vibration generated by AMDT during operation will cause various mechanical failures. This paper studies the vibration characteristics of SCBH 15-200/100 AMDT through no-load tests to find some mechanical failures of AMDT. The installation position of the vibration sensor in AMDT are determined according to finite element analysis (FEA) of the magnetic flux density distribution and modal analysis, and the vibration analyses are performed under different operating conditions of AMDT. The wavelet packet transform (WPT) is used to perform detailed analysis of the vibration signal in the time domain and frequency domain to obtain the energy characteristic value of each frequency band, and it includes the frequency spectrum and waveform data under normal and fault conditions. After obtaining the energy characteristic thresholds of different frequency bands under different conditions, the operating status can be detected by comparing test data with the thresholds. The operation condition including mechanical failures induced by magnetostrictive actions can be accurately determined by the energy characteristic value, such as loose nuts and stress, etc.","PeriodicalId":100229,"journal":{"name":"CES Transactions on Electrical Machines and Systems","volume":"7 3","pages":"341-349"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873789/10272303/10032065.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68150004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Speed Regulation Method Using Genetic Algorithm for Dual Three-phase Permanent Magnet Synchronous Motors","authors":"Xiuhong Jiang;Yuying Wang;Jiarui Dong","doi":"10.30941/CESTEMS.2023.00013","DOIUrl":"https://doi.org/10.30941/CESTEMS.2023.00013","url":null,"abstract":"Dual three-phase Permanent Magnet Synchronous Motor (DTP-PMSM) is a nonlinear, strongly coupled, high-order multivariable system. In today's application scenarios, it is difficult for traditional PI controllers to meet the requirements of fast response, high accuracy and good robustness. In order to improve the performance of DTP-PMSM speed regulation system, a control strategy of PI controller based on genetic algorithm is proposed. Firstly, the basic mathematical model of DTP-PMSM is established, and the PI parameters of DTP-PMSM speed regulation system are optimized by genetic algorithm, and the modeling and simulation experiments of DTP-PMSM control system are carried out by MATLAB/SIMULINK. The simulation results show that, compared with the traditional PI control, the proposed algorithm significantly improves the performance of the control system, and the speed output overshoot of the GA-PI speed control system is smaller. The anti-interference ability is stronger, and the torque and double three-phase current output fluctuations are smaller.","PeriodicalId":100229,"journal":{"name":"CES Transactions on Electrical Machines and Systems","volume":"7 2","pages":"171-178"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873789/10172142/10032058.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68147995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Torque Improvement of Spoke-type Permanent Magnet Motor with Auxiliary Stator Using Harmonic Current Control Strategy","authors":"Hao Wu;Wenliang Zhao;Zheng Li;Xiuhe Wang","doi":"10.30941/CESTEMS.2023.00022","DOIUrl":"https://doi.org/10.30941/CESTEMS.2023.00022","url":null,"abstract":"The spoke-type permanent magnet motor with auxiliary stator exhibits high torque performance owing to the flux focus effects. To further improve its torque density, this paper proposes a control method by using harmonic current strategy. Based on the theoretical analysis, a 3-D torque look-up table by \u0000<tex>$dq$</tex>\u0000-axis current and electrical angle is established with the aid of the finite element method (FEM). The maximum torque per ampere curve at each rotor position is identified and summarized to adequately indicate the relationship between torque and current amplitude of the motor. Through theoretical derivation, it is concluded that the minimum torque cost curve is the contour line of \u0000<tex>$partial T_{pmb{e}}/partial i^{2}$</tex>\u0000, which can be employed to identify the harmonic current for torque density improvement. Compared to traditional strategies, the proposed control strategy can increase torque density of forward and reverse torque by 1.22% and 1.40%, respectively. The experimental results verify the analysis and simulation results, as well as prove the effectiveness of the proposed strategy.","PeriodicalId":100229,"journal":{"name":"CES Transactions on Electrical Machines and Systems","volume":"7 2","pages":"210-217"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873789/10172142/10032064.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68147986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}