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The algorithm of multi-objective optimization of PM synchronous motors

Knypiński Łukasz, Nowak Lech

Przegląd Elektrotechniczny

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2019

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R. 95, nr 4

242--245

EN

This paper presents multi-objective algorithm for optimal designing of permanent magnet synchronous motors. The special attention is paid on the formulation the optimization problem, especially on the correct selection of the partial criteria which constitute multi-objective function and constraints. It is pointed out that connection of multimodal parameter (cogging torque) and unimodal parameter (electromagnetic torque) in one multi-objective compromise function can lead to erroneous operation of optimization algorithm. Therefore, decomposition of the optimization task into two-level is proposed. The optimization calculation has been executed for permanent magnet synchronous motor structure with hybrid excitation system.

PL

W artykule przedstawiono algorytm do optymalizacji magnetoelektrycznych silników synchronicznych. Przedstawiono rozważania dotyczące poprawnego formułowania kompromisowych funkcji celu, w szczególności odpowiedniego doboru kryteriów cząstkowych. Wykazano, że włączenie do kompromisowej funkcji jednocześnie członu reprezentującego elektromagnetyczny moment użyteczny i moment zaczepowy może prowadzić do błędnego działania algorytmu optymalizacji. Zaproponowano dekompozycję zadania optymalizacji na dwa etapy. Przedstawiono i omówiono wybrane wyniki obliczeń optymalizacyjnych dla magnetoelektrycznego silnika synchronicznego z hybrydowym układem wzbudzenia.

2

Zastosowanie algorytmu szarych wilków do rozwiązania zadań optymalizacji urządzeń elektromagnetycznych

Knypiński Łukasz, Nowak Lech

Poznan University of Technology Academic Journals. Electrical Engineering

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2019

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No. 100

133--144

PL

W artykule przedstawiono algorytm i oprogramowanie do optymalizacji urządzeń elektromagnetycznych. Procedury optymalizacyjne opracowano w środowisku programistycznym Borland Deplhi. Zastosowano algorytm szarych wilków. Poprawność opracowanego algorytmu badano rozwiązując dwa testowe zadania optymalizacji. Porównano wyniki uzyskane dla metod: (a) algorytmu szarych wilków i (b) metody roju cząstek. Wykazano, że algorytm szarych wilków jest bardziej uniwersalny i odporny na zakłócenia w zachowaniu lidera niż metoda roju cząstek. Przeprowadzono optymalizację układu wzbudzenia sześciobiegunowego silnika synchronicznego o rozruchu własnym.

EN

The article presents an algorithm and computer software for optimization of electromagnetic devices. The gray wolf optimizer was applied as an optimization algorithm. Optimization procedure was developed in the Borland Delphi environment. The correctness of the algorithm was tested by solving two test optimization tasks. The course of the optimization process for two non-deterministic methods: gray wolf optimizer and particle swarm optimization have been compared. It has been pointed out that the gray wolf algorithm is more universal and resistant to disturbances in the behavior of the leader than the particle swarm algorithm. The optimization of the rotor of the six-poles linestart permanent magnet synchronous motor has been carried out.

3

Factors influencing mammal roadkills in the agricultural landscape of South-Western Poland

Orłowski Grzegorz, Nowak Lech

Polish Journal of Ecology

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2006

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Vol. 54, nr 2

283-294

EN

The aim of the present study was to determine the yearly mortality level and identify the collision places of mammals on a road network with varying traffic volume, as well as to establish the main relations between habitat structure and the number of roadkills. During 26 months of survey on a 48.8 km road network (15 roads) with different traffic volumes (350-10500 cars per 24 h) situated in an agricultural landscape of SW Poland 383 killed mammals of 23 species were found. The most abundant group were small rodents (40%), with dominant common vole Microtus arvalis (26%) followed by insectivores (32%), topped by two species of hedgehogs Erinaceus spp. (20%). The average ([plus or minus] SD) road-kills index during the whole study period on 11 road sections with the lowest traffic volume (350-460 cars per 24 h) amounted to 0.29 [plus or minus] 0.14 (range = 0.08-0.56) casualties per 100 m. This value was over seven times lower than on the section with the highest (10500 cars per 24 h) traffic volume (2.13 casualties per 100 m). Over 80% of victims were found between May and October. During the whole study period 38% of victims were recorded within built-up areas, where 26% of the studied roads were localized. The other 62% were found on the roads situated in the open farmland (74% of all roads). The clear majority of hedgehogs Erinaceus spp., weasels Mustela nivalis, brown rats Rattus norvegicus, beech martens Maries, foina and red foxes Vulpes vulpes died within villages, while the animals killed on roads in the open farmland included all recorded common voles, moles Talpa europaea and common shrews Sorex araneus. The decisive factor affecting the mortality level in mammals in the multiple regression model was the daily vehicle traffic volume. This variable had significant, positive influence on the number of victims both within the most abundant species, their groups (insectivores, rodents, mustelids), as well as all mammals. The road location in the open countryside was an additional factor affecting the level of losses in rodents, while its presence in the built-up area increased the mortality of hedgehogs.