Active disturbance rejection control based on BP neural network for suspension system of electromagnetic suspension vehicle
文献类型：期刊论文
| 作者 | Fu, Shanqiang1,3; Liu MJ(刘梦娟)2,4 ; Wu H(吴晗)2,4; Liang, Xin1,3; Ceng XH(曾晓辉)2,4
|
| 刊名 | INTERNATIONAL JOURNAL OF DYNAMICS AND CONTROL
 |
| 出版日期 | 2025 |
| 卷号 | 13期号:1页码:25-25 |
| 关键词 | Electromagnetic suspension vehicles Suspension system Active disturbance rejection control Backpropagation neural network |
| ISSN号 | 2195-268X |
| DOI | 10.1007/s40435-024-01515-3 |
| 英文摘要 | An electromagnetic suspension (EMS) vehicle achieves stable suspension through active feedback control of electromagnetic force. However, the vehicle's suspension stability can be affected by various external disturbances. To improve the stability and robustness of the EMS vehicle's suspension system, an active disturbance rejection control algorithm which is an adaptive parameter optimized by a backpropagation neural network (BP_ADRC) is proposed. Firstly, the dynamic model of the EMS vehicle's suspension system is derived. Secondly, a nonlinear tracking differentiator and a nonlinear extended state observer are established. On this basis, a nonlinear state error feedback control law is designed, and the ADRC algorithm of the suspension system is constructed. Subsequently, an adaptive optimization algorithm using a BP neural network is given, and it can adaptively adjust the gain parameters of the nonlinear state error feedback control law according to the system changes. Finally, the effectiveness of the proposed BP_ ADRC algorithm is verified through simulations and experimental methods. The results indicate that the BP_ADRC algorithm exhibits good control performance under various disturbances, thereby effectively improving the stability of the EMS vehicle's suspension system. |
| WOS研究方向 | Automation & Control Systems ; Engineering, Mechanical ; Mathematics, Applied ; Engineering ; Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:001352444600003 |
| 资助机构 | Not applicable.DAS:Not applicable. |
| 其他责任者 | 刘梦娟 |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/101469]  |
| 专题 | 力学研究所_流固耦合系统力学重点实验室(2012-) |
| 作者单位 | 1.State Key Lab High Speed Maglev Transportat Techno; 2.Institute of Mechanics, CAS; 3.CRRC Corporation; 4.University of Chinese Academy of Sciences, CAS |
| 推荐引用方式 GB/T 7714 | Fu, Shanqiang,Liu MJ,Wu H,et al. Active disturbance rejection control based on BP neural network for suspension system of electromagnetic suspension vehicle[J]. INTERNATIONAL JOURNAL OF DYNAMICS AND CONTROL,2025,13(1):25-25. |
| APA | Fu, Shanqiang,刘梦娟,吴晗,Liang, Xin,&曾晓辉.(2025).Active disturbance rejection control based on BP neural network for suspension system of electromagnetic suspension vehicle.INTERNATIONAL JOURNAL OF DYNAMICS AND CONTROL,13(1),25-25. |
| MLA | Fu, Shanqiang,et al."Active disturbance rejection control based on BP neural network for suspension system of electromagnetic suspension vehicle".INTERNATIONAL JOURNAL OF DYNAMICS AND CONTROL 13.1(2025):25-25. |
入库方式： OAI收割
来源：力学研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。