A Bridgeless LUO Converter with Glowworm Swarm Optimized Tuned PI Controller for Electrical Applications

Author:

Sivaramkrishnan M.1,Ramkumar M. Siva2ORCID,Subramanian S Siva1ORCID,Ladu Nyagong Santino David3ORCID

Affiliation:

1. Department of EEE, Karpagam College of Engineering, Tamil Nadu, India

2. Department of EEE, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India

3. Department of Mathematics and Physics, Rumbek University of Science and Technology, South Sudan

Abstract

The synchronous reluctance motor (Sync-RM) is known for its higher reliability, faster dynamic response, higher efficiency, higher speed range, higher power density, and higher torque per ampere. Consequently, the scope of research into emerging Sync-RMs drive system has been extended. For different kinds of mechanical and electrical applications, motors are important components of any machine or tool. There are several types of motors available for various kinds of industrial applications, but the benefits of Sync-RM in medium- and low-power applications have eventually been very efficient compared to other motor types, regarding the factors such as high flux density per unit volume, high efficiency, requirements of low maintenance, and low electromagnetic obstruction. This research proposed a Sync-RM drive fed by a bridgeless LUO converter (BLLC) using the Glowworm Swarm Optimization (GSO) tuned proportional integral (PI) controller. High competence, higher power density, and a small structure of the motor drive are delivered by the PI-tuned converter. The output voltages are related to the Sync-RM motor of the proposed converter. Due to its minimum effort and modest development, the Sync-RM here is chosen for the drive. The proposed Sync-RM drive framework based on the LUO converter was evaluated by simulation using the Matlab/Simulink tool.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Reference30 articles.

1. Performance improvement of synchronous reluctance motor: a review;B. L. Mbula

2. Synchronous reluctance motor: design and experimental research;A. V. Zakharov

3. Permanent magnet assisted synchronous reluctance motor: an alternative motor in variable speed drives;L. Haataja,2003

4. A feedforward compensation design in critical conduction mode boost power factor correction for low-power low totalharmonic distortion

5. Power quality improvement in PFC bridgeless-Luo converter fed BLDC motor drive;B. Singh

Cited by 28 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Analysis on the Integration of Machine Learning and Advanced Imaging Technologies for Predicting the Liver Cancer;2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN);2024-05-03

2. Big Data Analysis on Intelligent Traffic Surveillance by Incorporating Sensors and IoT Devices on Roads;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

3. Deep Learning based Financial Management with Decision Support Systems for Adaptive Organization;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

4. Development of Intelligent Power Quality Management in Renewable Energy System in Smart Grid using Deep Learning;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

5. Maximizing Power Utilization through Machine Learning and IoT based Power Flow Strategies in DC Micro Grids with Renewable Energy Resources;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3