Introducing the Research Paper:
Abstract
Induction motors are widely used in industry. Given the increasing demand for electric machines in different industries, optimization of these machines to achieve a high efficiency with low cost is of utmost importance. Loss-minimization in motor is done in three ways: 1) optimizing motor selection and design; 2) improving motor power supply waveforms; and 3) using appropriate controlling methods in drives. Often, inductive motors provide the maximum efficiency in their nominal load. In most applications it is necessary for a motor to work in light loads for a long time, e.g. in conveyors, elevators, etc. In these conditions, the machine load is not the nominal load, and a higher percentage of the input power is lost. So, in the case of variable load, the first and second methods cannot increase the efficiency; but the third method provides a large flexibility in decreasing motor losses. In this paper, the application of the third method in loss-minimization is reviewed. These motor losses are mostly related to the controlling strategy and basically occur in light-load conditions. There are various strategies to decrease this kind of losses, which are generally divided into two categories: classic methods and intelligent methods. In this paper, first the classic methods, including losses model control (LMC), flux control as a function of torque and search control (SC), are discussed. Then the intelligent methods, such as genetic algorithm, PSO, fuzzy logic and artificial neural network are investigated. This paper is presented while the last methods of efficiency improvement are being investigated and each method is described briefly.
TELKOMNIKA, Vol.16, No.3, June 2018 , Scopus , proQuest
To download, go to the following link:
******************************
http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/8293
******************************
some of the results:
مجموعه: پروژه هابرچسب ها Amaphrojekthi we- Loss Minimization in Induction Motors wamahhala, and PID controller, are considered by Fuzzy Logic, Artificial Neural Networks (ANN), Awọn iṣẹ papa Loss Minimization in Induction Motors, Ayyukan Loss Minimization in Induction Motors na kyauta, Bepul Loss Minimization in Induction Motors loyihalari, Bezmaksas Loss Minimization in Induction Motors projektu, block diagram for PSO and ANN combined model based on loss control model, Classic Methods, Control of Induction Motor Drive, Copper and Core Loss Minimization for Induction Motors, d-axis current, Darmowe projekty Loss Minimization in Induction Motors, Dawb Loss Minimization in Induction Motors tej yaam num, Doako Loss Minimization in Induction Motors proiektuak, Dr. Eberhartand Dr. Kennedy, Dự án LOSS MINIMIZATION IN INDUCTION MOTORS miễn phí, efficiency improvement, Efficiency Optimization of Induction Motor, Efficiency to torque and speed ratio, Field Orientation Control (FOC), flux control as a function of torque, Flux control based on losses model (LMC), Free Loss Minimization in Induction Motors tetikasa, Free LOSS MINIMIZATION IN INDUCTION MOTORS долбоорлор, Frjáls Loss Minimization in Induction Motors verkefni, Fuzzifier and Defuzzifier blocks, fuzzy logic based direct torque control of induction motor, Fuzzy Precompensated Proportional-Integral (FPPI, Fuzzy-Genetic structure, Fuzzy-PI Controller, Genetic Algorithm (GA, Genetic Algorithm and Fuzzy-genetic, Gratis Loss Minimization in Induction Motors -projecten, Gratis Loss Minimization in Induction Motors -prosjekter, Gratis Loss Minimization in Induction Motors projekt, Gratis Loss Minimization in Induction Motors projekten, Gratis Loss Minimization in Induction Motors projekter, Gratis Loss Minimization in Induction Motors Projeten, Gratis pwojè Loss Minimization in Induction Motors, ʻO nā papahana papahana Loss Minimization in Induction Motors, I prughjetti di Loss Minimization in Induction Motors, Iiprojekthi ze- Loss Minimization in Induction Motors zamahhala, Improving squirrel cage induction motor efficiency, Induction motors, Ingyenes Loss Minimization in Induction Motors projektek, intelligent machines, Intelligent Methods, Investigation of reductions in motor efficiency and power factor, Kaupapa Loss Minimization in Induction Motors free, Kostenlose Loss Minimization in Induction Motors -Projekte, Liberum Loss Minimization in Induction Motors projects, Libre nga mga proyekto sa Loss Minimization in Induction Motors, Libreng mga proyekto ng Loss Minimization in Induction Motors, LMC and SC, Loss Minimization Control of Linear Induction Motor, Loss Minimization in Induction Motors, loss optimization flowchart induction motor, loss optimization flowchart with GA, Loss-minimization in motor, Losses minimization in DTC-DPWM induction motor, losses model control (LMC), Losses to flux ratio of the rotor, Merero ea Loss Minimization in Induction Motors ea mahala, Methods for Real-Time Loss Minimization in Induction Machines, Minimization Of Electrical Losses, Minimizing AC Induction Motor, motor efficiency in optimization and without optimization states, Nemokami " Loss Minimization in Induction Motors " projektai, Noguchi, Ntchito za Loss Minimization in Induction Motors zaulere, p, particle swarm optimization (PSO), Particle Swarm Optimization Algorithm (PSO), PD, PI, Polokalame free Loss Minimization in Induction Motors, Proġetti Loss Minimization in Induction Motors b'xejn, Progetti Loss Minimization in Induction Motors gratuity, Proiecte Loss Minimization in Induction Motors gratuite, Projectes Loss Minimization in Induction Motors gratuïts, Projek Loss Minimization in Induction Motors percuma, Projekte të lira Loss Minimization in Induction Motors, Projetos gratuitos Loss Minimization in Induction Motors, Projets Loss Minimization in Induction Motors gratuits, Projeyên Loss Minimization in Induction Motors free, proposed system model with ids-axis current control, Prosiectau Loss Minimization in Induction Motors am ddim, Prosti Loss Minimization in Induction Motors projekti, Proxectos Loss Minimization in Induction Motors gratuitos, Proyectos de Loss Minimization in Induction Motors gratuitos, proyék Loss Minimization in Induction Motors bébas, Proyek Loss Minimization in Induction Motors gratis, Pulsuz Loss Minimization in Induction Motors layihələri, q-axis current, search control (SC, Slobodni projekti Loss Minimization in Induction Motors, Steady-state IM equivalent, Tasuta Loss Minimization in Induction Motors projekte, The ANN structure, Tionscadail Loss Minimization in Induction Motors saor in aisce, Ücretsiz Loss Minimization in Induction Motors projeleri, Vapaa Loss Minimization in Induction Motors -projekteja, Vector Controlled Induction Machine Drive, Volné projekty v LOSS MINIMIZATION IN INDUCTION MOTORS u, Δωρεάν έργα LOSS MINIMIZATION IN INDUCTION MOTORS, Безкоштовні проекти LOSS MINIMIZATION IN INDUCTION MOTORS, Безплатни проекти в LOSS MINIMIZATION IN INDUCTION MOTORS, Бесплатные проекты Loss Minimization in Induction Motors, Бясплатныя праекты LOSS MINIMIZATION IN INDUCTION MOTORS, Слободни проекти за Loss Minimization in Induction Motors, უფასო Loss Minimization in Induction Motors პროექტები, Ազատ Loss Minimization in Induction Motors ծրագրեր, חינם פרויקטים Loss Minimization in Induction Motors, استفاده از منطق فازی جهت کاهش تلفات و بهبود بازده در موتورهای القایی, الگوریتم pso سرعت روتور و گشتاور بار, بررسی روش های هوشمند جهت بهبود بازده و کاهش تلفات در موتور القایی, بلوک دياگرام يک سيستم کنترل شامل کنترلر فازي, بهبود عملکرد درایو موتور القایی از کنترل کننده Tuning الگوریتم ژنتیک, بهبود عملکرد دینامیکی موتور طی کنترل موتور, بهینه سازی بازده با کمک الگوریتم pso و منطق فازی, بهینه سازی موتورهای القایی با استفاده از روش های هوشمند, پارامترهای کنترل کننده PI از قبیل kp و ki مستقیما بوسیله GA, ترکیب pso و شبکه عصبی برای تخمین شار محور d, تلفات مسی استاتور،تلفات مسی روتور و تلفات آهن در موتورهای القایی, جبران گر انتگرال گیر تناسبی فازی (FPPI), جریان iqs توسط کنترل کننده pi, دیاگرام فازوری مدارمعادل وتعریف زوایای میدان روتور, روش LMC از مدل ماشین برای محاسبه تلفات, روش توسط takashi, ساختار سیستم فازی بسیار مناسب برای جایگزینی کنترل کننده های p ، pd ، pi و pid, ساختار کاهش تلفات یعنی LMC و SC بوسیله منطق فازی, شبکه عصبی آموزش دیده شده با الگوریتم pso, شبکه عصبی برای بهبود بازده درایو موتور القایی, شبکه عصبی برای پیش بینی سطح شار بهینه, شبکه عصبی دارای 4 ورودی و یک خروجی, ضرایب بهینه kp و ki در کنترل سرعت فازی, فرکانس لغزش را در شرایط تابع هدف (fitness)بهینه, كنترلر كلاسيك ( PIيا PID ), كنترلر منطق فازي, کاهش تلفات در موتور, کل تلفات سیستم اعم از موتور، اینورتر، فیلتر، ویکسوکننده, کنترل شار بر مبنای مدل تلفات (LMC), کنترل شار به عنوان تابعی از گشتاور, کنترلر جستجوگر شار(SC), محاسبه گشتاور الکترومغناطیسی و شار روتور, مدار معادل موتور القایی شامل مقاومت تلفات آهن, مشکل اساسی روش SC, مفت Loss Minimization in Induction Motors منصوبوں, निःशुल्क Loss Minimization in Induction Motors परियोजनाहरू, मुफ्त Loss Minimization in Induction Motors परियोजनाओं, โครงการ LOSS MINIMIZATION IN INDUCTION MOTORS ฟรี, ໂຄງການ Loss Minimization in Induction Motors ຟຣີ, គម្រោង Loss Minimization in Induction Motors ដោយឥតគិតថ្លៃ, 免費的 Loss Minimization in Induction Motors 項目, 免费的 Loss Minimization in Induction Motors 项目, 無料の LOSS MINIMIZATION IN INDUCTION MOTORS プロジェクト, 무료 Loss Minimization in Induction Motors 프로젝트