Fast Design of Spoke-Type PM Motor With Auxiliary Notches Based on Lumped-Parameter Magnetic Equivalent Circuit Model and Hybrid Multiobjective Optimizer

Abstract

The multi-objective design of PM motor is time-consuming. The accuracy complexity of the solver model and the efficiency of the optimizer affect the cycle of electromagnetic design. A fast design method of spoke-type PM motors with auxiliary notches based on lumped-parameter magnetic equivalent circuit (MEC) model and a hybrid multi-objective optimizer (HyMOO) are proposed in this article. The MEC model is established to quickly reflect the influence of design parameters on electromagnetic and torque performance in the account of auxiliary notch structure in the rotor lamination. Meanwhile, an HyMOO is proposed considering the Grey Wolves Optimization (GWO) model, to solve more complex multimode problems involving more parameters. The accuracy and high calculation speed of the proposed MEC are verified in comparison with the FE method. A benchmark test by general distance (GD) and inverted generational distance (IGD) proves the HyMOO with better converge speed and robustness. Based on the MEC model and HyMOO, a fast electromagnetic design is applied for the motor with requirements of 140Nm rated torque and 4.5% torque ripple. The optimal solutions are validated by FE analyses, and the best design are chosen, manufactured as prototype, and tested. Both the FE and experimental analyses verify the reliability of the fast design and the proposed motor.INDEX TERMS Auxiliary notch, fast multi-objective design, multi-objective optimizer, lumped-magnetic equivalent circuit model, spoke-type permanent magnetic machine

Design and Optimization of Axial Field Flux-Switching Magnetic Gear Composite Motor Based on Varying-Network Magnetic Circuit

“…In the process of motor design and optimization, due to the conflicts between design parameters on different performance indicators, single-objective optimization methods can not meet the practical optimization needs, so scholars have developed and applied different optimization algorithms to multi-parameter and multi-objective optimization of motors [16], [17], [18], [19], [20], [21]. References [16] and [17] used a sequential Taguchi method to optimize a permanent magnet synchronous motor (PMSM).…”

“…Although this method may lead to the extreme phenomenon of colony loss and reduce the efficiency of optimization, the authors adopted a simple magnetic equivalent circuit (MEC) model to calculate the torque, thereby reducing the overall optimization time [20]. In [21], a fast multi-objective analytical design for a spoke-type PM motor with Auxiliary Notches structure was proposed based on lumped-parameter MEC and a hybrid multi-objective optimizer. It was found that the results of optimal designs calculated by MEC model match well with the FEA model and prototype experimental results.…”