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Improved genetic ant colony algorithm and research on motor structure optimization
Author(s): 
Pages: 64-70
Year: Issue:  10
Journal: Electric Machines and Control

Keyword:  algorithmbinarygenetic ant colonyoptimizationpermanent magnet synchronous;
Abstract: To optimize the structural parameters of the 4-pole 7. 5 kW line-start permanent magnet synchro-nous motor, an improved binary genetic ant colony algorithm which combined the advantages of genetic al-gorithm with ant colony algorithm and solved the problem of continuous space optimization was used. The basic idea of binary genetic ant colony algorithm and its features were presented, and the specific imple-mentation method of binary genetic ant colony algorithm in motor optimization design was mainly discussed. Language was used to realize the algorithm and results of simulation and calculation were obtained to prove its global convergence property. Finite element method was used to simulate the optimized electromagnetic design. The result slows that the optimization design of motor based on improved binary genetic ant colony algorithm may effectively improve the starting and running performance of the motor.
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