Multiobjective Design Optimization of Brushless Permanent Magnet Motor Using 3D Equivalent Magnetic Circuit Network Method

Chun, Yon‐Do; Wakao, Shinji; Kim, T.H.; Jang, Ki-Bong; Lee, J.

doi:10.1109/tasc.2004.830928

Cited by 29 publications

(7 citation statements)

References 5 publications

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“…Multi-objective optimization (MOO) is a method of multiple criteria decision making, concerned with mathematical optimization problems where more than one objective function needs to be optimized simultaneously. The output of the MOO is a set of solutions that define the best trade-off between various physical responses [18][19][20]. In electrical machine design, MOO using the RSM is widely employed for modeling performance.…”

Section: Multi-objective Optimization Based Rsmmentioning

confidence: 99%

Force Reduction in a Short-Stroke Vibration Tubular Generator for Vehicle Energy Harvesting Application

2020

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This paper examines methods to reduce the detent force and electromagnetic force in a short-stroke vibration tubular generator used to harvest energy from a vehicle suspension system but still achieve the design targets of power and power density. A well-known skewing permanent magnet approach and a novel approach named the unbalanced model (or moving teeth arrangement) were considered. A multi-objective optimization-based response surface method was also investigated. The results from 2D and 3D finite element analyses (FEA) revealed that when the permanent magnet array in the proposed machine was skewed by 45°, the detent force decreased by 13.1%. When parts of the slot were shifted by the same angle (45°), the unbalanced model could even reduce detent force by 32.7%. However, output power and power density also decreased accordingly. Among these approaches, multi-objective optimization, which can find the trade-off between various physical responses, seemed to be the best solution. A prototype based on an optimal design was fabricated, tested and its behavior was in excellent agreement with the FEA.

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Section: Multi-objective Optimization Based Rsmmentioning

confidence: 99%

Force Reduction in a Short-Stroke Vibration Tubular Generator for Vehicle Energy Harvesting Application

2020

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“…The cost function is the function whose minimization stimulates finding the optimum values of its arguments [30, 31]. In this research, the fitness function expressed in [32] is used in the following form

\begin{equation}FF\ = \left\{ { \def\eqcellsep{&}\begin{array}{@{}*{2}{c}@{}} {{T_a} \times \left( {100 - \frac{{{T_{rip}}}}{4}} \right)/100}&{{T_{rip}} \le 5\% }\\[10pt] {{T_a} \times \left( {100 - \frac{{{T_{rip}}}}{2}} \right)/100}&{5\% &lt; {T_{rip}} \le 10\% }\\[10pt] {{T_a} \times \left( {100 - {T_{rip}}} \right)/100}&{10\% &lt; {T_{rip}} \le 20\% }\\[10pt] {{T_a} \times \left( {100 - {T_{rip}}} \right)/100}&{{T_{rip}} &gt; 20\% } \end{array} } \right\}\ \end{equation}

…”

Section: Design Strategy and Optimization Processmentioning

confidence: 99%

Line start synchronous reluctance motor with improved power factor for agriculture electric pump applications

Lenin

Padmanaban

Khan

2021

The Journal of Engineering

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Line start synchronous reluctance motor (LSRM) is more efficient than the existing induction motor (IM). However, the power factor is a major concern in LSRM. The power factor of the LSRM depends on the saliency ratio. To increase the saliency ratio, either d‐axis inductance (Ld) has to be improved, or q‐axis inductance (Lq) reduced. Here, q‐axis inductance is decreased by making the minimal or negligible flux variation in the q‐axis. Initially, the rotor geometry has been optimized employing an optimization algorithm. Then, finite element analysis is adopted to predict the capability of the designed rotors. Stress analysis has been carried out for both axial and radial rotor structures to verify the mechanical robustness. The fabrication steps such as folding, stacking and screwing, wire cut, die‐casting and milling process of both the rotor structures are explained in detail. Further, both the machines are tested with the centrifugal pump. From the test results, it is observed that the proposed rotor structure provides a higher power factor.

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“…Besides aerospace industry, the multiobjective optimization method is also used in other fields such as electrical and mechanical engineering, e.g., design optimization of brushless permanent magnet motors [11] or air-core linear permanent-magnet synchronous motors [12]. For the application of multiobjective optimization in engineering design, Marler and Arora [13] gave a good survey.…”

Section: Literature Reviewmentioning

confidence: 99%

A Proportional—Integral Control Policy of Two Coupled Concurrent Design Optimization Processes

Wang

Chen

et al. 2010

Concurrent Engineering

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In the design of products, we are often faced with optimization problems, in which design parameters are chosen carefully to optimize the performances. Moreover, there are usually multiple design optimization problems that need to be solved simultaneously because designs are often carried out concurrently in multiple disciplines. These design optimization problem are often coupled with each other. Namely, the decision variables of one design optimization problem might be the parameters of another. This kind of coupling makes the optimization process of concurrent and multidisciplinary design more complex than a single optimization design problem. In this article, we investigate the control of two coupled design optimization processes, for which a proportional—integral (PI) control policy is proposed and the influences of the design variable of one optimization problem on the objective function of the other are taken into consideration. Some numerical experiments in the case of robot designing are done to verify the effectiveness of this control policy. Finally, some issues about the control of multiple coupled optimization processes are put forward for future research.

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Multiobjective Design Optimization of Brushless Permanent Magnet Motor Using 3D Equivalent Magnetic Circuit Network Method

Cited by 29 publications

References 5 publications

Force Reduction in a Short-Stroke Vibration Tubular Generator for Vehicle Energy Harvesting Application

Force Reduction in a Short-Stroke Vibration Tubular Generator for Vehicle Energy Harvesting Application

Line start synchronous reluctance motor with improved power factor for agriculture electric pump applications

A Proportional—Integral Control Policy of Two Coupled Concurrent Design Optimization Processes

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