中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Control Analysis and Experimental Investigation of a Multi-coil Moving Coil Linear Motor Based on an Improved Bacterial Foraging Algorithm

文献类型:期刊论文

作者Jimin Liang; Gong Zhang; Zheng Xu; Zhichen Hou; Qunxu Lin; Songsong Liang; Jian Wang; Youhao Li; Weijun Wang
刊名Systems Science & Control Engineering
出版日期2018
文献子类期刊论文
英文摘要This study tries to improve the response performance of a moving coil linear motor (MCLM). A newly designed MCLM with a bobbin of triple coils is proposed. A mathematic model and a solution of searching time optimum using an improved Bacterial Foraging Algorithm (BFA) are developed, and a dual-mode controller with Bang-Bang & PI based on the proposed method is put forward. Control analysis and simulation results show the response time of the proposed MCLM driven by dual-mode controller is reduced from 8.5ms to 2.5ms compared to the traditional single coil MCLM, and the ringing and overshoot are below 5%. The experimental frequency and response time of the proposed MCLM are 300Hz at 3dB and 4ms, respectively. Analysis and experimental results show that the effectiveness of the proposed control technology is verified and the proposed MCLM displays good performance of high frequency and rapid response.
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/14793]  
专题深圳先进技术研究院_南沙所
推荐引用方式
GB/T 7714
Jimin Liang,Gong Zhang,Zheng Xu,et al. Control Analysis and Experimental Investigation of a Multi-coil Moving Coil Linear Motor Based on an Improved Bacterial Foraging Algorithm[J]. Systems Science & Control Engineering,2018.
APA Jimin Liang.,Gong Zhang.,Zheng Xu.,Zhichen Hou.,Qunxu Lin.,...&Weijun Wang.(2018).Control Analysis and Experimental Investigation of a Multi-coil Moving Coil Linear Motor Based on an Improved Bacterial Foraging Algorithm.Systems Science & Control Engineering.
MLA Jimin Liang,et al."Control Analysis and Experimental Investigation of a Multi-coil Moving Coil Linear Motor Based on an Improved Bacterial Foraging Algorithm".Systems Science & Control Engineering (2018).

入库方式: OAI收割

来源:深圳先进技术研究院

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