Periodico Di Mineralogia最新文献_第7页

Performance Analysis of Hybrid Optimized Pi Controller For Sepic Converter Based Grid Tied Electric Vehicle 基于Sepic变换器的并网电动汽车混合优化Pi控制器性能分析

IF 0.7 4区地球科学

Periodico Di Mineralogia Pub Date : 2022-04-13 DOI: 10.37896/pd91.4/9149

K. Kavin, P. Karuvelam, M. G. Sundari

{"title":"Performance Analysis of Hybrid Optimized Pi Controller For Sepic Converter Based Grid Tied Electric Vehicle","authors":"K. Kavin, P. Karuvelam, M. G. Sundari","doi":"10.37896/pd91.4/9149","DOIUrl":"https://doi.org/10.37896/pd91.4/9149","url":null,"abstract":"The Electric Vehicles (EVs) are garnering immense attention in recent times, since they support sustainable transportation with minimized carbon emission. The amount of carbon footprint released to the atmosphere is further reduced with the adoption of Photovoltaic (PV) based EVs. The PV output is initially fed to a DC-DC SEPIC converter, which produces high dc voltage with non-inverting output and reduced switching loss. The operation of the SEPIC converter is controlled using a Hybrid Grey Wolf Optimization (GWO)-Particle Swarm Optimization (PSO) based Proportional Integral (PI) controller for providing a stable DC voltage to the three phase Voltage Source Inverter ( 3𝜑 VSI). The 3𝜑 VSI output is used to power the BLDC motor of the EV. The power from the PV is sufficient for the EV application during daytime, however, during night time with the absence of the sun, the BLDC motor is supplied with the power from the grid. The grid is connected to this system through a Single Phase (1 𝜑 ) VSI. The proposed control method is verified using MATLAB simulation and the hybrid GWO-PSO algorithm delivers an outstanding efficiency of 96%.","PeriodicalId":20006,"journal":{"name":"Periodico Di Mineralogia","volume":"17 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78734069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Influence of Strength Behavior in Brick Masonry Prisms and Wallette Under Compression 受压作用下砖砌体棱柱和夹板强度特性的影响

IF 0.7 4区地球科学

Periodico Di Mineralogia Pub Date : 2022-04-13 DOI: 10.37896/pd91.4/91462

M. Soundar Rajan, D. Jegatheeswaran

引用次数: 1

Joint DFT Precoding and Discrete Wavelet Transform in SC-FDMA NOMA System with Carrier Frequency Offset Compensation 载波频偏补偿SC-FDMA NOMA系统的联合DFT预编码和离散小波变换

IF 0.7 4区地球科学

Periodico Di Mineralogia Pub Date : 2022-04-13 DOI: 10.37896/pd91.4/91463

M. Subha, D. Judson

引用次数: 1

A Prescience Audit of Robotics and Autonomous Systems: A Review 机器人和自主系统的预见性审计:综述

IF 0.7 4区地球科学

Periodico Di Mineralogia Pub Date : 2022-04-13 DOI: 10.37896/pd91.4/91460

S. Abuthakeer

引用次数: 0

Investigation on Joint dynamic property of Nanoclay based Redundant SCARA robot 基于纳米粘土的冗余SCARA机器人关节动力学特性研究

IF 0.7 4区地球科学

Periodico Di Mineralogia Pub Date : 2022-04-12 DOI: 10.37896/pd91.4/9148

M. Mohan, V. Anbumalar, P. Kumar

引用次数: 0

Exploring the Effect of Job Satisfaction on Commitment of School Teachers 探讨工作满意度对学校教师承诺的影响

IF 0.7 4区地球科学

Periodico Di Mineralogia Pub Date : 2022-04-12 DOI: 10.37896/pd91.4/9147

J. R. A. Nanci, V. Velmurugan

引用次数: 0

Controlling Exhaust Emissions and Measuring Performance Values from a DI Diesel Engine Using Substitute Fuel 使用替代燃料的直喷柴油机废气排放控制及性能测量

IF 0.7 4区地球科学

Periodico Di Mineralogia Pub Date : 2022-04-12 DOI: 10.37896/pd91.4/91458

引用次数: 0

Performance Analysis of An Intelligent Adaptive Rbfnn Based Novel Mmc-Dstatcom in Grid Connected Pv System 并网光伏系统中基于智能自适应Rbfnn的新型Mmc-Dstatcom性能分析

IF 0.7 4区地球科学

Periodico Di Mineralogia Pub Date : 2022-04-12 DOI: 10.37896/pd91.4/9146

C. Umadevi, M. G. Sundari, P. Karuvelam

{"title":"Performance Analysis of An Intelligent Adaptive Rbfnn Based Novel Mmc-Dstatcom in Grid Connected Pv System","authors":"C. Umadevi, M. G. Sundari, P. Karuvelam","doi":"10.37896/pd91.4/9146","DOIUrl":"https://doi.org/10.37896/pd91.4/9146","url":null,"abstract":"This paper presents a novel Modular Multilevel Converter–DSTATCOM topology used to integrate PV system into the AC Grid. Unlike the conventional MMC topologies, the proposed topology can be applied in high power applications requiring more voltage levels using less capacitor count maintaining higher efficiency. The common problem caused within a MMC by the impact of circulating current is eliminated here by adding it with the input current of each arm. Photovoltaic (PV) System generally uses Power electronic converters to convert the generated DC into AC by switching ON and OFF of the Power electronic devices. This leads to the introduction of Harmonics into the power system causing deterioration in the power quality resulting conductors heating, malfunctioning of fuses, circuit breakers and relays. This paper introduces an Adaptive Radial Basis Function Neural Network (RBFNN) based on the Synchronous Reference Frame (SRF) theory which is capable of generating the compensating reference current needed to extract the total harmonics from the system. It uses a deep learning filtering algorithm based on a hybrid learning method, which is regarded as the computationally efficient training method with less complexity and negligible training time. Extensive simulations are carried out in MATLAB software and its performance in each aspect is analyzed by comparing it with conventional methods. The results obtained show the usefulness of the novel topology and the proposed algorithm in improving power quality.","PeriodicalId":20006,"journal":{"name":"Periodico Di Mineralogia","volume":"8 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91041210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Reliable Algorithm with Increased Accuracy for Drone Detection 一种提高无人机检测精度的可靠算法

IF 0.7 4区地球科学

Periodico Di Mineralogia Pub Date : 2022-04-11 DOI: 10.37896/pd91.4/91427

引用次数: 0

Optimized Framework for Intrusion Detection Using Data Mining Techniques in Wireless Lan With Deep Learning Techniques 基于深度学习技术的无线局域网数据挖掘入侵检测优化框架

IF 0.7 4区地球科学

Periodico Di Mineralogia Pub Date : 2022-04-11 DOI: 10.37896/pd91.4/9145

P. S. Kumar, A. Barkathulla, A. Venkatesh, G. Nirmala

{"title":"Optimized Framework for Intrusion Detection Using Data Mining Techniques in Wireless Lan With Deep Learning Techniques","authors":"P. S. Kumar, A. Barkathulla, A. Venkatesh, G. Nirmala","doi":"10.37896/pd91.4/9145","DOIUrl":"https://doi.org/10.37896/pd91.4/9145","url":null,"abstract":"The developments of technology and computer digital systems are now pervasive across the globe and the world has rendered an invisible and unviable from day to day existence. The detailed assessment details of Mobile and Pervasive Computing applied to electrical and electronic devices, which are intangible and considering the context of evolutionary theory that refers to them as pervasive environments. The urban development concept, the future will be a connected web of networked computers and models of integrated networks system. Due to their broad usage in metropolitan environments, the signiﬁcant mobile devices have been enriched the urban planning strategy of ubiquitous computing, which is designed for the urban growth. According to the action plan, the data mining tools will be employed to assist the IDS building efforts in order to help alleviate these issues. This has found that the Intrusion Detection technologies have been used in conjunction with data mining strategies to spot attacks in the system. An Intrusion Detection System is used to control the network operations, used to track and filter out the unwanted data with decision tree. The mobile crowd sourcing technologies were applied to smart environments; the world by integrating and coordinating all of the technology resources. These algorithms are evaluated for their use in discovering the unknown attacks in the mobile communication systems.","PeriodicalId":20006,"journal":{"name":"Periodico Di Mineralogia","volume":"40 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76246598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0