2020
DOI: 10.1109/tie.2019.2893848
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Multiobjective Optimization of a Double-Side Linear Vernier PM Motor Using Response Surface Method and Differential Evolution

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Cited by 94 publications
(24 citation statements)
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“…A high power factor LVPM can be designed by combining a double-sided structure and a series magnetic circuit [155], [170], [171] (Fig. 22).…”
Section: Vernier Machinesmentioning
confidence: 99%
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“…A high power factor LVPM can be designed by combining a double-sided structure and a series magnetic circuit [155], [170], [171] (Fig. 22).…”
Section: Vernier Machinesmentioning
confidence: 99%
“…22). The design parameters of the machine in [171] are globally optimised for maximising thrust and power factor. The final design achieves a power factor of 0.945, but the experimental measurements of thrust differ from the expected values in up to 17.2 %, and the value of the power factor is not verified with the prototype.…”
Section: Vernier Machinesmentioning
confidence: 99%
See 1 more Smart Citation
“…The optimized second order model based AQM scheme using robust proportional controller has been discussed in Wang et al A new framework of multiobjective optimization has been proposed to improve the overall performances that uses the sensitivity analysis to select significant variables. In this model, the multiobjective differential evolution with ranking‐based mutation operator (MODE‐RMO) is conducted using response surface model …”
Section: Introductionmentioning
confidence: 99%
“…In this model, the multiobjective differential evolution with ranking-based mutation operator (MODE-RMO) is conducted using response surface model. 21 The major issue with existing analysis is that either it does not consider the interaction of input factors for nonlinear model or does not consider the interaction if nonlinear model is proposed. The work presented in Patel et al 19 has provided an evaluation model observed at two levels of input factors that gives linear model for output response such as throughput, delay, and loss rate.…”
Section: Introductionmentioning
confidence: 99%