2015
DOI: 10.1108/compel-08-2014-0216
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Optimization of the synchronous motor with hybrid permanent magnet excitation system

Abstract: Purpose -The purpose of this paper is to elaborate an algorithm and the software for the rotor structure optimization of the permanent magnet synchronous motor (PMSM) with a magnet composed of two materials made with the use of different technologies: sintered Neodymium magnets and powder dielectromagnets. To execute of optimization of selected motor structure using the non-deterministic procedure. Design/methodology/approach -The mathematical model of the devices includes: the equation of the electromagnetic … Show more

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Cited by 24 publications
(14 citation statements)
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“…OPTIMIZATION ALGORITHM Despite the implementation of the efficient strategy for code parallelization, the optimization process remains computationally time consuming due to the need for repetitive simulations with the continuously varied cage parameters; hence the need for an effective optimization algorithm. Many alternatives were considered, including genetic [3], particle swarm [6] and ant colony algorithms [7], as well as the less popular brain storm [8], bat-inspired [9] and gray wolf optimizers [10]. Following intensive search and testing, it was decided to rely on the well performing particle swarm approach, with a modification of an added coefficient representing the swarm center.…”
Section: Modeling Strategy and Techniquesmentioning
confidence: 99%
See 1 more Smart Citation
“…OPTIMIZATION ALGORITHM Despite the implementation of the efficient strategy for code parallelization, the optimization process remains computationally time consuming due to the need for repetitive simulations with the continuously varied cage parameters; hence the need for an effective optimization algorithm. Many alternatives were considered, including genetic [3], particle swarm [6] and ant colony algorithms [7], as well as the less popular brain storm [8], bat-inspired [9] and gray wolf optimizers [10]. Following intensive search and testing, it was decided to rely on the well performing particle swarm approach, with a modification of an added coefficient representing the swarm center.…”
Section: Modeling Strategy and Techniquesmentioning
confidence: 99%
“…Various optimization methods were considered, including an approach described in [3]. Following many tests and practical experience with numerical analysis, it was decided that methods exploiting particle swarm optimization (PSO) were most appropriate for the efficient design of the LSPMSM.…”
Section: Introductionmentioning
confidence: 99%
“…Human in their economic and existential activities make many choices optimizing them [17][18][19][20][21]. They use various mathematical methods, apply appropriately selected technical means, and make decisions based on knowledge or well-established experience or resulting from specific premises related to the undertaken activities.…”
Section: Impact Of Disturbances and Energy Losses In Public Facilitiementioning
confidence: 99%
“…They use various mathematical methods, apply appropriately selected technical means, and make decisions based on knowledge or well-established experience or resulting from specific premises related to the undertaken activities. People try to achieve the objectives in the simplest possible way, limiting the consumption of raw materials and energy, involving as little technical and human resources as possible, eliminating the negative impact of the technical infrastructure on the environment (including other systems operating in the environment) [17][18][19][20][21][22][23]. One of the elements of such optimal functioning is limiting the impact of electromagnetic disturbances and energy losses generation in devices and systems used in various types of public facilities.…”
Section: Impact Of Disturbances and Energy Losses In Public Facilitiementioning
confidence: 99%
“…People try to achieve their goals in a way most beneficial for them. This is associated with a great variety of optimization criteria, methods of creating criterial functions and the used methods, which depend on a given task [4,5,22,[28][29][30][31][32][33][34][35][36].…”
Section: Introductionmentioning
confidence: 99%