Study on Fuzzy Self-adaptive PID for Galvanometer Control System | |
Li, Shengnan; Cao, Jianzhong; Zhou, Zuofeng; Li, SN (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China. | |
2016 | |
会议名称 | 6th International Conference on Manufacturing Science and Engineering (ICMSE) |
会议录名称 | PROCEEDINGS OF THE 2015 6TH INTERNATIONAL CONFERENCE ON MANUFACTURING SCIENCE AND ENGINEERING |
卷号 | 32 |
页码 | 358-363 |
会议日期 | 2015-11-29 |
会议地点 | Guangzhou, PEOPLES R CHINA |
出版地 | PARIS |
出版者 | ATLANTIS PRESS |
产权排序 | 1 |
摘要 | A new method based on fuzzy self-adaptive PID for the galvanometer control system is presented. This method overcomes some defects of the traditional PID control, such as lower control precision and worse anti-jamming performance. At first, this paper analyzed the theory of galvanometer control system and established the mathematical model of the moving magnetic galvanometer motor. Then, the paper presented the design method of fuzzy self-adaptive PID controller in detail and using the simulation software to realize the system design. At last, the simulation results of PID control were compared with those of the Fuzzy-PID control method. The results show that the Fuzzy-PID control method has better dynamic and static performance, as well as anti-jamming performance. |
关键词 | Pid Controller Fuzzy Self-adaptive Control Galvanometer Control System |
学科领域 | Automation & Control Systems |
作者部门 | 动态光学成像研究室 |
收录类别 | ISTP |
ISBN号 | 978-94-6252-137-7 |
语种 | 英语 |
ISSN号 | 2352-5401 |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/28495 |
专题 | 飞行器光学成像与测量技术研究室 |
通讯作者 | Li, SN (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China. |
作者单位 | Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Shengnan,Cao, Jianzhong,Zhou, Zuofeng,et al. Study on Fuzzy Self-adaptive PID for Galvanometer Control System[C]. PARIS:ATLANTIS PRESS,2016:358-363. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Study on Fuzzy Self-(1542KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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