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Swarm intelligence algorithms in function of efficiency optimisation of PM synchronous motor

Cvetkovski Goga, Petkovska Lidija

Przegląd Elektrotechniczny

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2023

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R. 99, nr 6

119--122

EN

This paper presents a novel approach to the efficiency improvement of permanent magnet synchronous motor using several swarm intelligence algorithms (particle swarm optimisation, cuckoo search, grey wolf algorithm and dragonfly optimisation algorithm) as an optimisation tool. The idea is to implement those novel optimisation algorithms for the efficiency improvement of permanent magnet synchronous motor, where the objective function in the optimisation process is the efficiency of the investigated motor. Comparative optimisation analysis results are given.

PL

W artykule przedstawiono nowatorskie podejście do poprawy wydajności silnika synchronicznego z magnesami trwałymi przy użyciu kilku algorytmów inteligencji roju (optymalizacja roju cząstek, wyszukiwanie kukułki, algorytm szarego wilka i algorytm optymalizacji ważki) jako narzędzia optymalizacyjnego. Ideą jest wdrożenie tych nowatorskich algorytmów optymalizacyjnych do poprawy sprawności silnika synchronicznego z magnesami trwałymi, gdzie funkcją celu w procesie optymalizacji jest sprawność badanego silnika. Podano wyniki porównawczej analizy optymalizacyjnej.

2

Multi-Step FEA-Based Design and Performance Analysis for a Single-Phase PM Brushless DC Motor

Petkovska Lidija, Cvetkovski Goga

Power Electronics and Drives

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2023

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Vol. 8 (43)

219-234

EN

In the article, an approach to design a novel single-phase permanent magnet (PM) brushless DC (BLDC) motor, based on multi-step FEA numerical prototyping, is presented. The designing procedure is carried out by using a series of 2D finite element simulations, until the design for a best performing PM BLDC motor is obtained. The proposed novel motor topology is developed using a generic motor, and through several steps, asymmetrical stator poles are devised, where one pair is particularly shaped. Permanent magnets are also simultaneously shaped. The aim of this research study is to improve performance characteristics of the motor by more efficient utilisation of active materials during the manufacture of rotor poles and stator cores. The magnetic field distribution in the motor crosssection, along with several other relevant electromagnetic and electromechanical characteristics, are computed, presented in figures and charts and analysed. The cogging torque and static torque waveforms, as well as the distribution of flux density and the air-gap flux, flux linkage and the induced back-emf, are in the focus of the presented research study. The results show that the novel design topology reveals featured operating characteristics, providing a smooth overall performance of the PM BLDC motor.

3

Selected Nature-Inspired Algorithms in Function of PM Synchronous Motor Cogging Torque Minimisation

Cvetkovski Goga Vladimir, Petkovska Lidija

Power Electronics and Drives

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2021

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Vol. 6 (41)

204--217

EN

Both permanent magnet brushless DC motors and permanent magnet synchronous motors have attracted wide attention and are increasingly used in industrial high-performance applications in recent years. Those motors are known for their good electrical, magnetic and performance characteristics, but there is one parameter known as cogging torque that has a negative influence on the performance characteristics of the motor. This pulsating torque is generated as a result of the interaction between the stator teeth and the permanent magnets. The minimisation of the ripple of this torque in those permanent magnet motors is of great importance and is generally achieved by a special motor design which in the design process involves a variety of many geometrical motor parameters. In this research work, a novel approach will be introduced where two different nature-inspired algorithms, such as genetic algorithm (GA) and cuckoo search (CS) algorithm are used as an optimisation tool, in which the defined equation for the maximum value of the cogging torque is applied as an objective function. Therefore, a proper mathematical presentation of the maximum value of the cogging torque for the analysed synchronous motor is developed and implemented in the research work. For a detailed analysis of the three different motor models, the initial motor and the two optimised motor models are modelled and analysed using a finite element method approach. The cogging torque is analytically and numerically calculated and the results for all the models are presented.

4

ViMeLa Project: An innovative concept for teaching mechatronics using virtual reality

Cvetkovski Goga, Petkovska Lidija, Di Barba Paolo, Mognaschi Maria Evelina, Kamińska Dorota, Firych-Nowacka Anna, Wiak Sławomir, Digalovski Mihail, Celeska Maja, Rezaei Najmeh, Lefik Marcin, Zwoliński Grzegorz, Sapiński Tomasz, Tikk Toomas, Haamer Rain Eric, Anbarjafari Gholamreza

Przegląd Elektrotechniczny

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2019

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R. 95, nr 5

18--21

EN

In this paper, we present joint European project ViMeLa, which is based on a blended-learning method using theory classes and virtual reality (VR) as experimentation tool. The idea to create Virtual Mechatronic Laboratory for learning and teaching students in Mechatronics, came from the University of Technology in Lodz, with participation of the Universities in Skopje, Pavia and Tartu. In the frame of the project, flexible solutions are developed. Three scenarios are part of the project, namely: design, construction and operating principles of electric motors; industrial automation solution for controlling the process of sorting packages in a warehouse; industrial and domestic waste sorting line with belt.

PL

W niniejszym artykule zaprezentowano projekt Wirtualnego Laboratorium Mechatroniki (ViMeLa) realizowany przez Politechnikę Łódzką, z udziałem uniwersytetów w Skopje, Pawii i Tartu. Projekt opiera się o metodę blended learning, łączącą tradycyjne metody nauczania z rzeczywistością wirtualną. W ramach projektu opracowywane są trzy różne ćwiczenia przedstawiające: budowę i zasady działania silników elektrycznych, wykorzystanie automatyki przemysłowej do sterowania procesem sortowania paczek w magazynie oraz linię do sortowania odpadów.