Power Electronics and Drives最新文献_第7页

Active Damping in Series Connected Power Modules with Continuous Output Voltage 连续输出电压串联电源模块的主动阻尼

Power Electronics and Drives Pub Date : 2021-01-01 DOI: 10.2478/pead-2021-0021

S. Ulmer, G. Schullerus, Ertugrul Sönmez

引用次数: 2

MATLAB modelling of double sided photovoltaic cell module 双面光伏电池组件的MATLAB建模

Power Electronics and Drives Pub Date : 2021-01-01 DOI: 10.2478/pead-2021-0002

Yan Zhen, Wu Zuyu, Zhu Ninghui, Yu Ligen, C. Yu

引用次数: 1

Laser Power Transmission and Its Application in Laser-Powered Electrical Motor Drive: A Review 激光功率传输及其在激光电机驱动中的应用综述

Power Electronics and Drives Pub Date : 2021-01-01 DOI: 10.2478/pead-2021-0010

Hongzuo Liu, Yixuan Zhang, Yihua Hu, Z. Tse, Jing wu

引用次数: 3

Possibilities for Energy Saving Predictions in Elevators 电梯节能预测的可能性

Power Electronics and Drives Pub Date : 2021-01-01 DOI: 10.2478/pead-2021-0013

Anand Raghavendra Rao, S. Mircevski

{"title":"Possibilities for Energy Saving Predictions in Elevators","authors":"Anand Raghavendra Rao, S. Mircevski","doi":"10.2478/pead-2021-0013","DOIUrl":"https://doi.org/10.2478/pead-2021-0013","url":null,"abstract":"Abstract Today, with the longing for smart and sustainable transportation, the elevator industry has undergone major metamorphism in the field of control algorithm, electric drive, and the motor. Amongst these, regenerative drive (RD) plays a pivotal role in making elevator technology more energy efficient. Rather than wasting the recovery energy from the machine as heat, RD recovers it as green energy. Conventional direct current (DC) motors ruled the elevator industry for many years and were adopted as standard type of elevator motors. But with the advancement in electric drive technology, alternating current (AC) motors, especially induction motors, flourished in the later part. Recently with the introduction of Permanent Magnet Synchronous Motors (PMSM) technology, the elevator revolution began in terms of power quality, ride quality, and green energy. Likewise, contrasted with different types of vertical transportation machines, PMSMs have better powerful execution, compact size, and higher system-level efficiency. Recently, with the rapid improvement in intensity hardware, utilization of rare earth magnetic materials, and indubitably advanced research, PMSM has rapidly changed systems globally. PMSM is a multivariable, nonlinear, and high-coupling framework. The torque and stator current present a unique capacity connection. Attractive fields can be decoupled to gain decent power outcomes. With the presentation of regenerative PMSM, electrical drives coupled to system integrated frameworks for recovery energy has enhanced savings in power consumptions.","PeriodicalId":373546,"journal":{"name":"Power Electronics and Drives","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129708133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Bidirectional Buck-Boost Converter-Based Switching Ripple Communication Strategy for Intelligent Street Lighting Systems 基于双向降压-升压变换器的智能路灯开关纹波通信策略

Power Electronics and Drives Pub Date : 2021-01-01 DOI: 10.2478/pead-2021-0016

Yixuan Zhang, Yihua Hu, Zion Tse, Yuwei Liu, Jiamei Deng, Hui Xu, Yangang Wang, Wei Li

引用次数: 0

Effectiveness Analysis of Rolling Bearing Fault Detectors Based On Self-Organising Kohonen Neural Network – A Case Study of PMSM Drive 基于自组织Kohonen神经网络的滚动轴承故障检测有效性分析——以永磁同步电机驱动为例

Power Electronics and Drives Pub Date : 2021-01-01 DOI: 10.2478/pead-2021-0008

K. Jankowska, P. Ewert

{"title":"Effectiveness Analysis of Rolling Bearing Fault Detectors Based On Self-Organising Kohonen Neural Network – A Case Study of PMSM Drive","authors":"K. Jankowska, P. Ewert","doi":"10.2478/pead-2021-0008","DOIUrl":"https://doi.org/10.2478/pead-2021-0008","url":null,"abstract":"Abstract Due to their many advantages, permanent magnet synchronous motors (PMSMs) are increasingly used in not only industrial drive systems but also electric and hybrid vehicle drives, aviation and other applications. Unfortunately, PMSMs are not free from damage that occurs during their operation. It is assumed that about 40% of the damage that occurs is related to rolling bearing damage. This article focuses on the use of Kohonen neural network (KNN) for rolling bearing damage detection in a PMSM drive system. The symptoms from the fast Fourier transform (FFT) and Envelope (ENV) Analysis of the mechanical vibration acceleration signal were analysed. The signal ENV was obtained by applying the Hilbert transform (HT). Two neural network functions are discussed: a detector and a classifier. The detector detected the damage and the classifier determined the type of damage to the rolling bearing (undamaged bearing, damaged rolling element, outer or inner race). The effectiveness of the analysed networks from the point of view of the applied signal processing method, map size, type of neighbourhood radius, distance function and the influence of input data normalisation are presented. The results are presented in the form of a confusion matrix, together with 2D and 3D maps of active neurons.","PeriodicalId":373546,"journal":{"name":"Power Electronics and Drives","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129611531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

A New 13-Level Switched-Capacitor Inverter with Reduced Device Count 减少器件计数的13电平开关电容逆变器

Power Electronics and Drives Pub Date : 2021-01-01 DOI: 10.2478/pead-2021-0005

Kasinath Jena, C. Panigrahi, K. Gupta

引用次数: 3

The Effect of Different Decision-Making Methods on Multi-Objective Optimisation of Predictive Torque Control Strategy 不同决策方法对预测转矩控制策略多目标优化的影响

Power Electronics and Drives Pub Date : 2021-01-01 DOI: 10.2478/pead-2021-0018

Aycan Gurel, E. Zerdali

{"title":"The Effect of Different Decision-Making Methods on Multi-Objective Optimisation of Predictive Torque Control Strategy","authors":"Aycan Gurel, E. Zerdali","doi":"10.2478/pead-2021-0018","DOIUrl":"https://doi.org/10.2478/pead-2021-0018","url":null,"abstract":"Abstract Today, a clear trend in electrification process has emerged in all areas to cope with carbon emissions. For this purpose, the widespread use of electric cars and wind energy conversion systems has increased the attention and importance of electric machines. To overcome limitations in mature control techniques, model predictive control (MPC) strategies have been proposed. Of these strategies, predictive torque control (PTC) has been well accepted in the control of electric machines. However, it suffers from the selection of weighting factors in the cost function. In this paper, the weighting factor associated with the flux error term is optimised by the non-dominated sorting genetic algorithm (NSGA-II) algorithm through torque and flux errors. The NSGA-II algorithm generates a set of optimal solutions called Pareto front solutions, and a possible solution must be selected from among the Pareto front solutions for use in the PTC strategy. Unlike the current literature, three decision-making methods are applied to the Pareto front solutions and the weighting factors selected by each method are tested under different operating conditions in terms of torque ripples, flux ripples, cur-rent harmonics and average switching frequencies. Finally, a decision-making method is recommended.","PeriodicalId":373546,"journal":{"name":"Power Electronics and Drives","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131340877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Application of Spectral and Wavelet Analysis of Stator Current to Detect Angular Misalignment in PMSM Drive Systems 定子电流的频谱和小波分析在永磁同步电机驱动系统中检测角不对中应用

Power Electronics and Drives Pub Date : 2021-01-01 DOI: 10.2478/pead-2021-0004

P. Pietrzak, M. Wolkiewicz

{"title":"Application of Spectral and Wavelet Analysis of Stator Current to Detect Angular Misalignment in PMSM Drive Systems","authors":"P. Pietrzak, M. Wolkiewicz","doi":"10.2478/pead-2021-0004","DOIUrl":"https://doi.org/10.2478/pead-2021-0004","url":null,"abstract":"Abstract This paper deals with the selected methods of detecting angular misalignment in drive systems with a permanent magnet synchronous motor (PMSM), which are based on the analysis of the stator phase current signal, as well as their experimental verification and comparison. The proposed and compared methods are spectral analysis and wavelet analysis of the stator current, stator current envelope, stator current space vector module. Furthermore, the influence of power supply frequency and load torque on the performance of the proposed diagnostic methods is also discussed. The experimental tests were carried out for an undamaged motor and for two levels of angular misalignment. The article discusses the question of exactly what damage symptoms can be extracted from each of the methods. In the case of spectral analyses, it is demonstrated which multiplicities of the failure frequency are the most sensitive to misalignment and the least sensitive to changes in motor operating condition, which may be considered novel in the case of drive systems with permanent magnet motors. It is also proven that discrete wavelet transform (DWT) of the envelope and monitoring of the value of the relevant components allows the detection of misalignment with the availability of measuring current only in one phase in various motor operating conditions.","PeriodicalId":373546,"journal":{"name":"Power Electronics and Drives","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124129120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Robust Back-stepping Based Higher Order Sliding Mode Control of Non-Inverted Buck-Boost Converter for a Photovoltaic System 基于鲁棒反演的光伏系统非反转Buck-Boost变换器高阶滑模控制

Power Electronics and Drives Pub Date : 2021-01-01 DOI: 10.2478/pead-2021-0007

Shaukat Ullah

引用次数: 2