Application of Taguchi method to robust design of BLDC motor performance

Wang, H.T.; Liu, Z.J.; Chen, S.X.; Yang, Jun

doi:10.1109/20.800636

Cited by 63 publications

(27 citation statements)

References 2 publications

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“…In this paper, L27 (3,4) orthogonal arrays that consist of 4 factors with 3 Levels was constructed to derive the optimal condition. Twentyseven experiments were performed by FEM and their results are as shown in Table 3.…”

Section: Optimal Design Using Taguchi Methodsmentioning

confidence: 99%

Robust Design of Air Compressor-Driving Quadratic Linear Actuator in Fuel Cell BOP System using Taguchi Method

Kim¹,

Kim²,

Kim³

2012

Journal of Magnetics

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The linear actuator has the inherent drawback of air gap variation because its linear motion is usually guided by the springs, which destabilizes the dynamic performance. In order to design the linear actuator to be insensitive to air gap, this paper describes the robust design of the air compressor driving linear actuator using Taguchi method. The orthogonal arrays are constructed with selected control factors and noise factor for minimum experiment. The control factors are thickness of inner magnet, height of upper yoke, thickness of outer magnet and thickness of lower yoke while noise factor is airgap. The finite element analysis using commercial electromagnetic analysis program "MAXWELL" are performed instead of experiment. ANOVA are performed to investigate the effects of design factors. In result, the optimal robust linear actuator which is insensitive to air gap variation is designed.

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Section: Optimal Design Using Taguchi Methodsmentioning

confidence: 99%

Robust Design of Air Compressor-Driving Quadratic Linear Actuator in Fuel Cell BOP System using Taguchi Method

Kim¹,

Kim²,

Kim³

2012

Journal of Magnetics

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“…A two-dimensional (2-D) representation is shown in Fig. 1(a) (2) Uncertainties are sometimes given as a percentage of the nominal value, e.g., in measurement results. In this case, can be modeled as hyper-rectangle of variable size.…”

Section: B Uncertainty Setmentioning

confidence: 99%

Managing Uncertainties in Electromagnetic Design Problems With Robust Optimization

2004

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Numerical optimization techniques are widely used for the design of electromagnetic devices. In practical implementations of such devices, the problem parameters may be subject to tolerances and uncertainties. Optimal designs should be insensitive to parameter variations. The demand for robustness is often neglected during the optimization process. A formulation of robust nonlinear design problems is proposed in this paper. The influence of uncertainties on the target performance and the feasibility of a solution is assessed and incorporated into the optimization strategy. Methods for the solution of robust problems are introduced. Special emphasis is put on keeping the computational effort as small as possible. The proposed robust optimization method is applied to a standard benchmark optimization problem.Index Terms-Electromagnetic design, robust optimization, TEAM problem, worst case design.

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“…Taguchi, with his statistical based methods, is considered to be one of the pioneers of engineering robust design as he developed its foundations to meet the challenges of producing high-quality products. A Taguchi-based optimisation method has been applied to the design of brushless DC motors in [1], where the signal-to-noise ratio was used to estimate the robustness of the product. A robust shape optimisation was applied by Yoon to the design of electromagnetic devices in [2], where the mean and the standard deviation of the performance were treated as distinct objectives for the design problem.…”

Section: Introductionmentioning

confidence: 99%

Competitive co‐evolutionary algorithm for constrained robust design

Guimarães

Lowther

2015

IET Science, Measurement & Technology

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A competitive co-evolutionary algorithm is proposed to solve constrained robust design problems. The method uses three populations, among which one population evolves the values of the design variables and the other two evolve the values of two uncertainty variables, accounting for the target and feasibility robustness, respectively. An application to the robust design (minimisation of torque ripples) of an interior permanent magnet machine is presented. Through a worst case analysis, the result from the co-evolutionary algorithm is proven to have a more robust performance than that of the non-robust optimisation if manufacturing tolerance is taken into account. The computation time of the co-evolutionary algorithm may be significantly reduced through the use of parallel computing environments.

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Application of Taguchi method to robust design of BLDC motor performance

Cited by 63 publications

References 2 publications

Robust Design of Air Compressor-Driving Quadratic Linear Actuator in Fuel Cell BOP System using Taguchi Method

Robust Design of Air Compressor-Driving Quadratic Linear Actuator in Fuel Cell BOP System using Taguchi Method

Managing Uncertainties in Electromagnetic Design Problems With Robust Optimization

Competitive co‐evolutionary algorithm for constrained robust design

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