Core shape optimization for cogging torque reduction of BLDC motor

2003 ◽  
Author(s):  
Ki-Jin Han ◽  
Han-Sam Cho ◽  
Dong-Hyeok Cho ◽  
Hyun-Rae Cho ◽  
Hae-Seok Lee ◽  
...  
Keyword(s):  
Shape Optimization ◽  
Bldc Motor ◽  
Cogging Torque

Critical evaluation of cogging torque in BLDC motor with various techniques

2013 ◽  
Vol 7 (3) ◽  
pp. 135
Author(s):  
M. Arun Noyal Doss ◽  
S. Jeevananthan ◽  
Subhransu Sekhar Dash ◽  
M. Jahir Hussain
Keyword(s):  
Critical Evaluation ◽  
Bldc Motor ◽  
Cogging Torque

scholarly journals Multiobjective FEM based optimization of BLDC motor using Matlab and Maxwell scripting capabilities

2014 ◽  
Vol 63 (1) ◽  
pp. 115-124 ◽  
Author(s):  
R. Caramia ◽  
R. Piotuch ◽  
R. Pałka
Keyword(s):  
Genetic Algorithm ◽  
Multiobjective Optimization ◽  
Direct Current ◽  
Optimization Process ◽  
Bldc Motor ◽  
Cogging Torque ◽  
Direct Current Motor ◽  
Brushless Direct Current Motor

Abstract The paper presents a methodology for the optimization of a Brushless Direct Current motor (BLDC). In particular it is focused on multiobjective optimization using a genetic algorithm (GA) developed in Matlab/Optimization Toolbox coupled with Maxwell from ANSYS. Optimization process was divided into two steps. The aim of the first one was to maximize the RMS torque value and to minimize the mass. The second part of the optimization process was to minimize the cogging torque by selecting proper magnet angle. The paper presents the methodology and capabilities of scripting methods rather than specific optimization results for the applied geometry

Effect of Additional Harmonics of Driving Current on Torque Ripple and Unbalanced Magnetic Force of the BLDC Motors With Stator and Rotor Eccentricities

2014 ◽  
Author(s):  
S. J. Sung ◽  
G. H. Jang ◽  
K. J. Kang ◽  
J. Y. Song
Keyword(s):  
Magnetic Force ◽  
Torque Ripple ◽  
Bldc Motor ◽  
Cogging Torque ◽  
Driving Current ◽  
Rotor Eccentricity ◽  
Commutation Torque Ripple

This paper investigates the characteristics of the torque ripple and UMF in the BLDC motor with stator and rotor eccentricities due to additional harmonics of the driving current. Torque ripple can be divided into cogging torque due to the interaction between poles and slots, and commutation torque ripple due to driving current. Additional harmonics of driving current affect the characteristics of torque ripple. UMF is not generated in rotational symmetric motors with respect to pole, slot and winding configurations. However, stator and rotor eccentricities of BLDC motors generate additional harmonics on cogging torque and UMF. This research theoretically and numerically investigates the effects of driving current on the torque ripple and UMF of a BLDC motor with rotor and stator eccentricities. It shows that additional harmonics of the driving current, the stator eccentricity, and the rotor eccentricity independently affect the torque ripple. It also shows that additional harmonics of the driving current generate additional harmonics in UMF if BLDC motors have the stator or rotor eccentricities.

scholarly journals Optimal Design of Stator Shape for Cogging Torque Reduction of Single-phase BLDC Motor

2013 ◽  
Vol 62 (11) ◽  
pp. 1528-1534 ◽  
Author(s):  
Young-Un Park ◽  
Ji-Young So ◽  
Dong-Hwa Chung ◽  
Yong-Min Yoo ◽  
Ju-Hee Cho ◽  
...  
Keyword(s):  
Optimal Design ◽  
Single Phase ◽  
Bldc Motor ◽  
Cogging Torque

scholarly journals Analysis of the Impact of Magnetic Materials on Cogging Torque in Brushless DC Motor

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
K. Karthick ◽  
S. Ravivarman ◽  
Ravi Samikannu ◽  
K. Vinoth ◽  
Bashyam Sasikumar
Keyword(s):  
Magnetic Materials ◽  
Hybrid Electric Vehicle ◽  
Negative Impact ◽  
Angular Position ◽  
Magnetic Flux Density ◽  
Bldc Motor ◽  
Cogging Torque ◽  
Brushless Dc ◽  
Neodymium Magnets ◽  
The Impact

The cogging torque is the most significant issue in permanent magnet applications, since it has a negative impact on machine performance. In this article, the impact of magnetic materials on cogging torque is analyzed on brushless DC motors (BLDC). The effect of neodymium magnets (NdFeB), compression molded magnet, and samarium cobalt (SmCo) magnet on the cogging torque is analyzed to the BLDC motor designed for hybrid electric vehicle traction that has the peak power rating of 50 kW motor with 48 stator slots and 8 rotor poles. With the presence of these three magnetic materials, the cogging torque is estimated independently using multiposition simulation. The multiposition is simulated using a transient application that runs at constant speed. The results of cogging torque, rotational speed, angular position of BLDC motor, and magnetic flux density distribution have been presented. Also, the maximal, mean, minimal, rectified mean, and rms values of cogging torque were provided.

Design optimization for cogging torque mitigation in brushless DC motor using multi-objective particle swarm optimization algorithm

2015 ◽  
Vol 34 (4) ◽  
pp. 1302-1318 ◽  
Author(s):  
Umadevi Nagalingam ◽  
Balaji Mahadevan ◽  
Kamaraj Vijayarajan ◽  
Ananda Padmanaban Loganathan
Keyword(s):  
Genetic Algorithm ◽  
Design Optimization ◽  
Pareto Optimal ◽  
Bldc Motor ◽  
Swarm Optimization ◽  
Cogging Torque ◽  
Content Type ◽  
Multi Objective ◽  
Brushless Dc ◽  
Design Variables

Purpose – The purpose of this paper is to propose a multi-objective particle swarm optimization (MOPSO) algorithm based design optimization of Brushless DC (BLDC) motor with a view to mitigate cogging torque and enhance the efficiency. Design/methodology/approach – The suitability of MOPSO algorithm is tested on a 120 W BLDC motor considering magnet axial length, stator slot opening and air gap length as the design variables. It avails the use of MagNet 7.5.1, a Finite Element Analysis tool, to account for the geometry and the non-linearity of material for assuaging an improved design framework and operates through the boundaries of generalized regression neural network (GRNN) to advocate the optimum design. The results of MOPSO are compared with Multi-Objective Genetic Algorithm and Non-dominated Sorting Genetic Algorithm-II based formulations for claiming its place in real world applications. Findings – A MOPSO design optimization procedure has been enlivened to escalate the performance of the BLDC motor. The optimality in design has been out reached through minimizing the cogging torque, maximizing the average torque and reducing the total losses to claim an increase in the efficiency. The results have been fortified in well-distributed Pareto-optimal planes to arrive at trade-off solutions between different objectives. Research limitations/implications – The rhetoric theory of multi objective formulations has been reinforced to provide a decisive solution with regard to the choice of the design obtained from Pareto-optimal planes. Practical implications – The incorporation of a larger number of design variables together with an orientation to thermal and vibration analysis will still go a long way in bringing on board new dimensions to the fold of optimality in the design of BLDC motors. Originality/value – The proposal offers a new perspective to the design of BLDC motor in the sense it be-hives the facility of a swarm based approach to optimize the parameters in order that it serves to improve its performance. The results of a 120 W motor in terms of lowering the losses, minimizing the cogging torque and maximizing the average torque emphasize the benefits of the GRNN based multi-objective formulation and establish its viability for use in practical applications.

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