A Study on Optimal Design of the Triangle Type Permanent Magnet in IPMSM Rotor by Using the Box–Behnken Design

Abstract

This paper proposes an optimal rotor design method of an interior permanent magnet synchronous motor (IPMSM) by using a permanent magnet (PM) shape. An IPMSM is a structure in which PMs are buried in an inner rotor. The torque, torque ripple, and safety factor of IPMSM can vary depending on the position of the inserted PMs. To determine the optimal design variables according to the placement of the inserted PMs, parameter analysis was performed. Therefore, a response surface methodology, which is one of the statistical analysis design methods, was used. Among many other response surface methodologies, Box-Behnken design is the most commonly used. For the purpose of this research, Box-Behnken design was used to find the design parameter that can achieve minimum experimental variables of objective function. This paper determines the insert position of the PM to obtain high-torque, low-torque ripple by using a finite-element-method, and this paper obtains an optimal design by using a mechanical stiffness method in which a safety factor is considered.Index Terms-Box-Behnken design, finite-element-method (FEM), optimal design, permanent magnet (PM), safety factor, synchronous motor.

Multi-Objective Optimization Design and Analysis of V-Shape Permanent Magnet Synchronous Motor

“…The rotor design parameters of a PMSM were optimized using a PSO multi-objective optimization algorithm based on the ALHS technique. The aim of the optimization process was to jointly maximize the output torque of the PMSM under rated speed (2250 rpm) and maximum speed (11,250) conditions, respectively. The sensitivity results show that the ripple torque has the lowest total influence of 93.8% and the rated torque has the highest total influence of 99.5%.…”

“…PMSMs have many advantageous properties, including a high torque density, a high efficiency, a wide speed range and good controllability [6][7][8]. However, as technology in the related application fields continues to advance, many efforts have been made to improve the performance of PMSMs yet further through the development of fractional slot concentrated windings [9,10] and inner permanent magnet synchronous motors (IPMSMs) [11,12], or the application of multimodal design optimization methods [13,14] and differential control strategies. Liang et al [15] used a combined finite element method (FEM) and deep learning model to optimize the structure of a PMSM and predict the torque efficiency, respectively.…”

Application of Surrogate Optimization Routine with Clustering Technique for Optimal Design of an Induction Motor

“…This polynomial model can be used with an optimization algorithm to search for the optimal solution. The Box-Behnken design, one of the popular response surface approaches, is used in conjunction with the FEM-based machine model to generate second-order polynomial functions for objective and constraints of the electrical machine [10][11][12][13][14]. The range of the boundaries of the design variables affect the accuracy of the polynomial function and in turn the optimal solution of the electrical machine.…”

Influence of Rotor Design on Electromagnetic Performance in Interior Permanent Magnet Machines

“…After having selected the desired rotor geometry, an optimisation needs to be performed in order to tailor the rotor design to the specific requirements [14]: in [15] an optimal design for a ∇-shaped rotor geometry has been presented, explaining also the optimisation methodology that has been used. Another interesting study that covers not only optimisation strategy for V-shaped geometry, but presents also a sensitivity analysis consideration for this particular case can be found in [16].…”