Optimal Design of Permanent Magnet Slotless Brushless DC Motors Using Cuckoo Optimization Algorithm

This paper presents a new optimization method which is called Cuckoo optimization algorithm for optimal design of slotless permanent magnet brushless DC motor with surface mounted magnets. Nowadays, this motor is commonly used in industrial, medical and military applications such as, extruders, winders, cranes, propulsion system for drones, aircrafts, submarines, and high speed medical drills, surgical robot systems, and etc. An objective function has been proposed covering the power losses, material cost and volume of the motor besides the mechanical and electrical requirements. This method is based on capability of population-based optimization algorithms in finding the optimal solution. One sample case is used to illustrate the performance of the design approach and optimization technique. The superior performance of the COA is due to its ability to simultaneously refine a local search, while still searching globally. Also, simulation results illustrate that COA have a little dependency on variation of the parameters. In addition, COA was very fast, requiring a few seconds to find the optimum. The validity of optimization results is checked using two-dimensional Finite Element Analysis (FEA) and analytic method

Keywords:

BLDC , Cuckoo Optimization Algorithm , Permanent Magnet , Slotless Motor