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Optimization of the permanent magnet machine based on the artificial inteligence
Kurfűrst, Jiří ; Duroň,, Jiří (referee) ; Singule, Vladislav (referee) ; Ondrůšek, Čestmír (advisor)
The dissertation thesis deal with the design and the optimization of the permanent magnet synchronous machine (SMPM) based on the artificial intelligence. The main target is to apply potential optimization methods on the design procedure of the machine and evaluate the effectiveness of optimization and the optimization usefulness. In general, the optimization of the material properties (NdFeB or SmCo), the efficiency maximization with given nominal input parameters, the cogging torque elimination are proposed. Moreover, the magnet shape optimization, shape of the air gap and the shape of slots were also performed. The well known Genetic algorithm and Self-Organizing migrating algorithm produced in Czech were presented and applied on the particular optimization issues. The basic principles (iterations) and definitions (penalty function and cost function) of proposed algorithms are demonstrated on the examples. The results of the vibration generator optimization (VG) with given power 7mW (0.1g acceleration) and the results of the SMPM 1,1kW (6 krpm) optimization are practically evaluated in the collaboration with industry. Proposed methods are useful for the optimization of PM machines and they are further theoretically applied on the low speed machine (10 krpm) optimization and high speed machine (120 krpm) optimization.
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Effect of Manufacturing Variations of Permanent Magnets in Surface-Mounted Permanent Magnet Motors
Vícha, Adam ; Mach, Martin (referee) ; Bárta, Jan (advisor)
Master’s thesis summs up issues of mounting pemanent magnets on rotor surface of permanent magnet synchronous machine. Literature reseach is divided in two parts. First one shows studies and experiments researching the impact of manufacturing tolerances of permanent magnets and wrong mounting on the rotor on cogging torque . The second part focus on analytical aproach of defining influence of permanent magnets on magnetic flux density in the air gap and phase induced voltage. Practical part focus on design of a prototype machine, wich will be used to research the impact of tolerances and imperfections. Parametric model of the prototype machine is created in Maxwell and is subjected to analysis via finite element method. Three different analysis were run, offset of permanent magnet, decrease and wrong dicertion of magnetization. At last the result of cogging torque and induced voltage are compared.
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Impact of Surface-Mounted Permanent Magnets Imperfections on the Machine
Vícha, Adam
Study sums up issues of mounting permanent magnets onto rotor surface of permanent magnet synchronous machine. Fully parametric model of rotor with surface mounted permanent magnet was created. Model was subjected to analysis of offset of permanent magnet, wrong magnetization and manufacturing width tolerance. Fourier transformation was performed with the results to separate the imperfections via cogging torque and induced voltages.
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Effect of Manufacturing Variations of Permanent Magnets in Surface-Mounted Permanent Magnet Motors
Vícha, Adam ; Mach, Martin (referee) ; Bárta, Jan (advisor)
Master’s thesis summs up issues of mounting pemanent magnets on rotor surface of permanent magnet synchronous machine. Literature reseach is divided in two parts. First one shows studies and experiments researching the impact of manufacturing tolerances of permanent magnets and wrong mounting on the rotor on cogging torque . The second part focus on analytical aproach of defining influence of permanent magnets on magnetic flux density in the air gap and phase induced voltage. Practical part focus on design of a prototype machine, wich will be used to research the impact of tolerances and imperfections. Parametric model of the prototype machine is created in Maxwell and is subjected to analysis via finite element method. Three different analysis were run, offset of permanent magnet, decrease and wrong dicertion of magnetization. At last the result of cogging torque and induced voltage are compared.
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Optimization of the permanent magnet machine based on the artificial inteligence
Kurfűrst, Jiří ; Duroň,, Jiří (referee) ; Singule, Vladislav (referee) ; Ondrůšek, Čestmír (advisor)
The dissertation thesis deal with the design and the optimization of the permanent magnet synchronous machine (SMPM) based on the artificial intelligence. The main target is to apply potential optimization methods on the design procedure of the machine and evaluate the effectiveness of optimization and the optimization usefulness. In general, the optimization of the material properties (NdFeB or SmCo), the efficiency maximization with given nominal input parameters, the cogging torque elimination are proposed. Moreover, the magnet shape optimization, shape of the air gap and the shape of slots were also performed. The well known Genetic algorithm and Self-Organizing migrating algorithm produced in Czech were presented and applied on the particular optimization issues. The basic principles (iterations) and definitions (penalty function and cost function) of proposed algorithms are demonstrated on the examples. The results of the vibration generator optimization (VG) with given power 7mW (0.1g acceleration) and the results of the SMPM 1,1kW (6 krpm) optimization are practically evaluated in the collaboration with industry. Proposed methods are useful for the optimization of PM machines and they are further theoretically applied on the low speed machine (10 krpm) optimization and high speed machine (120 krpm) optimization.
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