Title :
Multiobjective Design Optimization of Five-Phase Halbach Array Permanent-Magnet Machine
Author :
Sadeghi, Siavash ; Parsa, Leila
Author_Institution :
Dept. of Electr., Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
fDate :
6/1/2011 12:00:00 AM
Abstract :
The multiphase Halbach array permanent-magnet machines are very good candidates for special applications such as marine and military applications due to the fault tolerance capability, high output torque, and high acceleration features. In this paper, an optimal design of a five-phase Halbach permanent-magnet machine for high efficiency, high torque, and high acceleration is investigated. A Genetic Algorithm method is used to optimize the design variables based on the analytical model of the motor, which is dependent only on motor geometrical and materials data. In this method, first the main machine design objectives such as efficiency, acceleration, and output power are optimized separately and then a multiobjective optimization considering all objectives simultaneously is given. The detailed finite-element analysis results are carried out to evaluate and verify the performance of the designed machine.
Keywords :
design engineering; fault tolerance; finite element analysis; genetic algorithms; permanent magnet motors; design variable; fault tolerance; finite-element analysis; five-phase Halbach array permanent-magnet machine; genetic algorithm; high acceleration; high output torque; machine design; motor geometrical data; motor materials data; multiobjective design optimization; multiphase Halbach array permanent-magnet machine; Magnetic flux; Permanent magnet machines; Permanent magnet motors; Stator windings; Torque; Windings; Finite-element method; Halbach array permanent-magnet machine; multiphase machine; optimization;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2011.2106217