scholarly journals Robust Design Optimization for Reducing Cogging Torque of a BLDC Motor through an Enhanced Taguchi Method

2014 ◽  
Vol 24 (5) ◽  
pp. 160-164 ◽  
Author(s):  
Chang-Uk Lee ◽  
Dong-Wook Kim ◽  
Dong-Hun Kim
Keyword(s):  
Taguchi Method ◽  
Design Optimization ◽  
Robust Design ◽  
Robust Design Optimization ◽  
Bldc Motor ◽  
Cogging Torque

Robust Design Optimization of BLDC Motor for Electric Oil Pump Using Characteristic Function

2018 ◽  
Author(s):  
Soo-Whang Baek
Keyword(s):  
Characteristic Function ◽  
Design Optimization ◽  
Robust Design ◽  
Penalty Function ◽  
Robust Design Optimization ◽  
Bldc Motor ◽  
Performance Constraints ◽  
Design Goal ◽  
Oil Pump ◽  
Target Performance

In this paper, we propose and perform the robust design optimization (RDO) algorithm for the shape of the BLDC motor used in the electric oil pump. The proposed RDO algorithm improves the torque characteristics of the BLDC motor to improve the performance of the electric oil pump. The previous deterministic design optimization (DDO) method derives an appropriate combination of the design goal and the specific target performance. However, not only the target performance but also other performance constraints must be considered for RDO. To overcome these problems, we consider the penalty function. In conclusion, we can confirm the improvement of the torque characteristics of the BLDC motor used in the EOP by using the proposed RDO algorithm.

scholarly journals Robust Design Optimization with Penalty Function for Electric Oil Pumps with BLDC Motors

Energies ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 153 ◽  
Author(s):  
Keun-Young Yoon ◽  
Soo-Whang Baek
Keyword(s):  
Optimal Design ◽  
Design Optimization ◽  
Robust Design ◽  
Penalty Function ◽  
Block Diagram ◽  
Robust Design Optimization ◽  
Bldc Motor ◽  
Control Block ◽  
Element Analysis ◽  
Design Variables

In this paper, we propose and evaluate a robust design optimization (RDO) algorithm for the shape of a brushless DC (BLDC) motor used in an electric oil pump (EOP). The components of the EOP system and the control block diagram for driving the BLDC motor are described. Although the conventional deterministic design optimization (DDO) method derives an appropriate combination of design goals and target performance, DDO does not allow free searching of the entire design space because it is confined to preset experimental combinations of parameter levels. To solve this problem, we propose an efficient RDO method that improves the torque characteristics of BLDC motors by considering design variable uncertainties. The dimensions of the stator and the rotor were selected as the design variables for the optimal design and a penalty function was applied to address the disadvantages of the conventional Taguchi method. The optimal design results obtained through the proposed RDO algorithm were confirmed by finite element analysis, and the improvement in torque and output performance was confirmed through experimental dynamometer tests of a BLDC motor fabricated according to the optimization results.

scholarly journals Diagnosis and Robust Design Optimization of SPMSM Considering Back EMF and Cogging Torque due to Static Eccentricity

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2900
Author(s):  
Jin-Cheol Park ◽  
Soo-Hwan Park ◽  
Jae-Hyun Kim ◽  
Soo-Gyung Lee ◽  
Geun-Ho Lee ◽  
...  
Keyword(s):  
Design Optimization ◽  
Robust Design ◽  
Torque Ripple ◽  
Robust Design Optimization ◽  
Test Results ◽  
Element Analysis ◽  
Cogging Torque ◽  
Rotor Position ◽  
Static Eccentricity ◽  
Optimum Model

Static eccentricity (SE) is frequently generated by manufacturing processes. As the nonuniformity of the air-gap length is caused by the SE, the torque ripple and cogging torque increase in the motor. This study analyzes the distorted back electromotive force (EMF) and cogging torque due to SE. Further, a motor design considering SE is performed for stable back EMF and low cogging torque. First, the SE was diagnosed and analyzed using the back EMF and cogging torque measured from the test results of the base model. In addition, the rotor position was calculated using the unbalanced back EMF due to the SE. The calculated rotor position is used when analyzing phenomena due to SE and applied to robust design. Subsequently, robust design optimization was performed to improve the unbalanced back EMF and cogging torque due to SE. Using finite element analysis (FEA) considering SE, the shape of the stator was designed based on the base model. The estimated rotor position from the base model was applied to the optimum model to confirm its robustness from SE’s effects. Finally, the base and optimum models were compared through the test results.

Dimension reduction method for reliability-based robust design optimization

2008 ◽  
Vol 86 (13-14) ◽  
pp. 1550-1562 ◽  
Author(s):  
Ikjin Lee ◽  
K.K. Choi ◽  
Liu Du ◽  
David Gorsich
Keyword(s):  
Dimension Reduction ◽  
Design Optimization ◽  
Robust Design ◽  
Reduction Method ◽  
Robust Design Optimization ◽  
Dimension Reduction Method

Robust Design Optimization for Crashworthiness of Vehicle Side Impact

2017 ◽  
Vol 3 (3) ◽  
Author(s):  
Souvik Chakraborty ◽  
Tanmoy Chatterjee ◽  
Rajib Chowdhury ◽  
Sondipon Adhikari
Keyword(s):  
Design Optimization ◽  
New Product Development ◽  
Robust Design ◽  
Automobile Industry ◽  
Human Error ◽  
Differential Evolution Algorithm ◽  
Side Impact ◽  
Robust Design Optimization ◽  
Parameter Uncertainties ◽  
Design Engineers

Optimization for crashworthiness is of vast importance in automobile industry. Recent advancement in computational prowess has enabled researchers and design engineers to address vehicle crashworthiness, resulting in reduction of cost and time for new product development. However, a deterministic optimum design often resides at the boundary of failure domain, leaving little or no room for modeling imperfections, parameter uncertainties, and/or human error. In this study, an operational model-based robust design optimization (RDO) scheme has been developed for designing crashworthiness of vehicle against side impact. Within this framework, differential evolution algorithm (DEA) has been coupled with polynomial correlated function expansion (PCFE). An adaptive framework for determining the optimum basis order in PCFE has also been presented. It is argued that the coupled DEA–PCFE is more efficient and accurate, as compared to conventional techniques. For RDO of vehicle against side impact, minimization of the weight and lower rib deflection of the vehicle are considered to be the primary design objectives. Case studies by providing various emphases on the two objectives have also been performed. For all the cases, DEA–PCFE is found to yield highly accurate results.

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