Design and Performance Analysis of Double Fed Vernier Machine

In this paper, based on the magnetic field modulation theory, a Double Fed Vernier Machine (DFVM) is proposed based on a regular doubly-fed machine (DFM). The magnetic field modulation process of the DFVM is explained and the stator slotting parameters of the motor are optimized with a multi-objective optimization based on multi-objective genetic algorithm. The proposed DFVM is simulated and compared with two regular DFMs. It is found that the DFVM exhibits higher average torque and higher efficiency at large excitation current, which is suitable for heavy-load applications.