Optimization of novel flux barrier in interior permanent magnet-type brushless dc motor based on modified Taguchi method

Abstract

Genetic algorithm based design optimization of a permanent magnet brushless dc motor J. Appl. Phys. 97, 10Q516 (2005); 10.1063/1.1860891Comparison of performance of the axial-field and radial-field permanent magnet brushless direct current motors using computer aided design and finite element methods J. Appl. Phys. 97, 10Q506 (2005); 10.1063/1.1853239Effect of maximum torque according to the permanent magnet configuration of a brushless dc motor with concentrated winding Influence of the permanent magnet overhang on the performance of the brushless dc motor This paper proposes the novel flux barrier by using the modified Taguchi method to reduce the cogging torque. In the optimizing process the modified Taguchi method is utilized to consider multiple objective quality characteristics simultaneously such as the torque ripple and the efficiency as well as the cogging torque. The optimal novel flux barrier can effectively reduce the cogging torque and torque ripple and it is verified through the experimental results.

Taguchi Method in Electrical Machine Design

“…In literature, the Taguchi method has been applied to various types of electrical machines such as brushless DC PM motors [8,9,11,[13][14][15][16][17][18][19][20], PM Synchronous Machines (PMSM) [10,12,, line-start PMSM [62][63][64][65][66], induction machine (IM) [67][68][69][70][71], Reluctance Synchronous Machines (RSM) or Switch Reluctance Machines (SRM) [72][73][74][75][76][77][78][79][80][81], axial flux PMSM [82,83], linear or tubular type machines [84][85][86][87][88], piezoelectric motor [89], active magnetic bearing [90], Halbach array PM machine [91], and superconducting wind generator [92].…”

“…The first use of a modified Taguchi method for multi-response problems was reported in [18], which was writen in Korean. A similar paper in English was published in 2009 [19]. The main idea in the paper was to improve the weakness of the Taguchi method for multi-response optimisation problems by allocating weighted value to each response function.…”

“…In order to perform multi-response design by using the OA trial results, it is necessary to normalise the S/N ratio of each response function. The same approach was also used in [19,27,28,63].…”

“…In Kim's method each response value is first normalised before the S/N ratio of each trial is calculated. The procedure to combine multi-response into a single function using Park's method comprises three steps [19]:…”

Optimization design of low-speed surface-mounted PMSM for pumping unit

“…The aforementioned research mainly utilized the characteristic of quick search for design space. On the basis of Taguchi's method using signal to noise ratios (S/N) of control factors at different levels to determine the optimization combination is a good method [21][22][23][24], and the noise factors was also taken into account to make the optimization design more robust [25,26]. Another good way is combining Taguchi's method with other design methods such as fuzzy inference or neural network to obtain lower torque ripple factor and higher efficiency [27,28].…”