A New Design Optimization Method for Permanent Magnet Synchronous Linear Motors

Song, Juncai; Dong, Fangyan; Zhao, Jiwen; Lu, Siliang; Li, Le; Pan, Zhenbao

doi:10.3390/en9120992

Cited by 14 publications

(8 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From the perspective of social research, one of the advantages of correspondence analysis is that it is used to analyze qualitative data and does not impose special requirements regarding the distributions that the analyzed variables should be subject to. Since the method of multiple correspondence analysis is widely described in the literature (Abdi, 2003;Kroonenberg & Greenacre, 2004;Abdi & Valentin, 2007;Greenacre, 2007;Hwang et al, 2009;Abdi et al, 2013;Song et al, 2016;Bai et al, 2017;Kokkoris et al, 2020;Cacuci, 2021;Dorado & Almendros, 2021), the description of its procedure is shown in general terms, indicating its steps.…”

Section: Methodsmentioning

confidence: 99%

The impact of crowdsourcing and user-driven innovation on R&D departments’ innovation activity: Application of multivariate correspondence analysis

Szopik-Depczyńska,

Dembińska,

Barczak

et al. 2024

View full text Add to dashboard Cite

Research background: In enterprise practices, innovation management is taking on more and more open forms. New, creative sources of inspiration are being sought. More and more companies are opening up to cooperation with external people or entities, thus entering a path of open innovation and crowdsourcing. This development is facilitated by increasingly large numbers of online and virtual communities. The idea is to use the potential of the crowd — collective intelligence and creativity. As the strategy is still developing, knowledge in this area is limited. There is a paucity of research on the impact of crowdsourcing on R&D departments and their innovative activities. Purpose of the article: The study aims to determine whether the use of customer support in the form of crowdsourcing affects the innovative activities of R&D departments that implement user-driven innovation (UDI). Methods: An original questionnaire was used for the study. Fifty-seven R&D departments in Poland participated in the research. A correspondence analysis, performed on the basis of the Burt matrix, was applied for the analysis. The authors also used Cramer's V correlation coefficients. Examination of the acquired correlation coefficients reveals the existence of four distinct categories of enterprises regarding the usage of crowdsourcing and implementation of product innovations, completed R&D projects, employment in R&D departments, and percentage of revenue allocating in R&D works. Findings & value added: Research has shown that R&D departments positively evaluate the effects of using UDI in market research analyses of customer purchasing behavior. It helps to create or improve products or services offered on the market, especially in the field of customization, using the information from national research and development units at the same time. Their purpose is mainly to increase the product range. The findings can help academics and practitioners improve the body of knowledge about the determinants of innovation activity, especially concerning relationships with customers and user-driven innovation practices.

show abstract

Section: Methodsmentioning

confidence: 99%

The impact of crowdsourcing and user-driven innovation on R&D departments’ innovation activity: Application of multivariate correspondence analysis

Szopik-Depczyńska,

Dembińska,

Barczak

et al. 2024

View full text Add to dashboard Cite

show abstract

“…Reference [4] uses support vector machine to fit the relationship between the structural parameters and the operating performance of linear motor, and then proposes a filled particle swarm optimization algorithm to optimize the model. Literature [5][6] uses hierarchical optimization strategy to grade the performance indexes of hybrid permanent magnet excitation motor, and achieves the compromise optimization of five design objectives. Since the optimization of the performance index of the electromagnetic actuator is a high-dimensional nonlinear problem, it is necessary to use intelligent algorithms to optimize the approximate model of the performance index.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization design of single-stage electromagnetic needle selector with permanent magnet

Wang

Mao

2023

International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022)

View full text Add to dashboard Cite

A multi-objective optimization method for electromagnetic actuator with permanent magnet is presented in this paper. The OLS-RBF neural network is improved by introducing gradient descent operator, and the coupling relationship between optimization objective and optimization factor of electromagnetic actuator with permanent magnet is fitted. NSGA-II algorithm is used to solve the multi-objective optimization of the approximate model obtained by fitting, and its effectiveness and feasibility are verified by simulation.

show abstract

“…Optimisation of motor design is a multi-objective problem produced by the huge number of objectives, design factors and constraints [7][8][9][10][11][12][13][14]. Several studies on motor design optimisation are carried out, and the techniques can be roughly concluded as two types: analytical method and finite element analysis (FEA) method.…”

Section: Introductionmentioning

confidence: 99%

Multi‐objective design optimisation for PMSLM by FITM

Dong

Song

Zhao

et al. 2018

IET Electric Power Applications

Self Cite

View full text Add to dashboard Cite

This study researches the multi-objective design optimisation of permanent magnet linear synchronous motors (PMSLMs) which are applied in high-precision laser cutting machines. The innovative fuzzy inference Taguchi method (FITM) coupled with finite element analysis (FEA) is proposed to solve the multi-objective optimisation problems as well as the maximum motor thrust with minimum thrust ripple. On the basis of the orthogonal array established by Taguchi method, the fuzzy inference system was introduced to translate the multiple optimisation targets to a single target. After the optimal selection analysis, the best combination of motor structure factors is obtained with a small FEA computation. Experimental results from the PMSLM prototype can confirm the validity and superiority of FITM.

show abstract

A New Design Optimization Method for Permanent Magnet Synchronous Linear Motors

Cited by 14 publications

References 34 publications

The impact of crowdsourcing and user-driven innovation on R&D departments’ innovation activity: Application of multivariate correspondence analysis

The impact of crowdsourcing and user-driven innovation on R&D departments’ innovation activity: Application of multivariate correspondence analysis

Multi-objective optimization design of single-stage electromagnetic needle selector with permanent magnet

Multi‐objective design optimisation for PMSLM by FITM

Contact Info

Product

Resources

About