Optimization of input shaping parameters based on genetic algorithm
文献类型：会议论文
| 作者 | Lu X(路续)4; Jia DP(贾丹平)5; Zhang HL(张华良)1,2,3 ; Zhao BJ(赵冰洁)1,2,3; Zhang T(张涛)1,2,3; Liu Y(刘阳)4; Yan HY(闫红雨)4
|
| 出版日期 | 2021 |
| 会议日期 | September 16-19, 2021 |
| 会议地点 | Nanchang, China |
| 关键词 | Input shaping Oscillation suppression system identification |
| 页码 | 1-8 |
| 英文摘要 | In view of the position control vibration problem of permanent magnet synchronous motor, the control model of permanent magnet synchronous motor is simulated by using Simulink software. At the same time, according to the structure of the system model, an input shaper is added to the input end of the system to suppress the vibration of the system. However, the input parameters of the shaper are highly dependent on the parameters of the system model, so it is usually necessary to accurately identify the system model. However, the identification of permanent magnet synchronous motor is often not accurate enough, which makes it difficult to determine the input parameters of the shaper. Aiming at the problem that the input shaper is too dependent on the system, a method of input shaper parameter optimization based on genetic algorithm is designed and verified by experiments. The results show that the parameters of the input shaper with better effect can be selected by genetic optimization, and the dependence of the input shaper on the system model is reduced. |
| 产权排序 | 3 |
| 会议录 | 2021 4th International Symposium on Power Electronics and Control Engineering, ISPECE 2021
 |
| 会议录出版者 | SPIE |
| 会议录出版地 | Bellingham, USA |
| 语种 | 英语 |
| ISSN号 | 0277-786X |
| ISBN号 | 978-1-5106-5036-7 |
| 源URL | [http://ir.sia.cn/handle/173321/30241]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 通讯作者 | Lu X(路续) |
| 作者单位 | 1.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, China 2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China 4.School of Artificial Intelligence Shenyang University of Technology, Shenyang, China 5.School of Information Science and Engineering, Shenyang University of Technology, Shenyang, China |
| 推荐引用方式 GB/T 7714 | Lu X,Jia DP,Zhang HL,et al. Optimization of input shaping parameters based on genetic algorithm[C]. 见:. Nanchang, China. September 16-19, 2021. |
入库方式： OAI收割
来源：沈阳自动化研究所
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