Design optimization of tooth-harmonic brushless doubly-fed machine

A brushless doubly-fed machine with tooth-harmonic wound rotor is a new type of BDFM. The machine is intended for use as a variable speed generator, or drive. Maximum torque output may be obtained by optimally dividing the overall magnetic loadings and electric loadings between the stator windings attending by reasonable rotor winding. This paper proposes an improved particle swarm optimization algorithm (IPSO) for solving the parameter design optimization of tooth harmonic brushless doubly-fed machine based on the equivalent circuit. The algorithm completes the optimization through following the personal best solution of each particle, the best solution of same dimensions of other stochastic particle and the global best value of the whole swarm on speed update, through judging by area boundary on position update. Finally, the correctness of results is verified through the experiment of laboratory tooth-harmonic BDFM.