| Predictive control based on LSTM for suspension operation of maglev vehicle |
| Liu MJ(刘梦娟); Fu, Shanqiang; Wu H(吴晗); Liang, Xin; Zhang WW(张伟为) ; Ceng XH(曾晓辉)
|
| Corresponding Author | Wu, Han(wuhan@imech.ac.cn)
|
| Source Publication | JOURNAL OF VIBRATION AND CONTROL
(IF:2.865[JCR-2018],2.459[5-Year]) |
| 2024-06-06
|
| Pages | 15 |
| ISSN | 1077-5463
|
| Abstract | To maintain the stable suspension of high-speed maglev vehicles, a predictive control algorithm based on neural networks is proposed. Initially, the vehicle dynamic response prediction model is built using the long short-term memory neural network considering its' time-varying and nonlinear characteristics. This predictive model achieves precise online prediction of the electromagnetic suspension gap. Then, the prediction model is utilized to construct the predictive control algorithm. Finally, the effectiveness of this algorithm is verified by simulations and experiments. The results demonstrate that the prediction model can accurately and continuously predict the maglev vehicle's future dynamic responses. Predictive control algorithms can predict fluctuations in the suspension gap before they occur and provide feedforward compensation. Experimental results prove that the predictive control algorithm can effectively suppress electromagnet fluctuations to achieve better stable suspension. |
| Keyword | Maglev vehicle
dynamic response prediction
neural network
feedforward control
suspension gap fluctuation
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| DOI | 10.1177/10775463241258003
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| Indexed By | SCI
; EI
|
| Language | 英语
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| WOS ID | WOS:001240374800001
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| WOS Keyword | SYSTEM
; DESIGN
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| WOS Research Area | Acoustics
; Engineering
; Mechanics
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| WOS Subject | Acoustics
; Engineering, Mechanical
; Mechanics
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| Funding Project | CAS Project for Young Scientists in Basic Research[YSBR-045]
; National Natural Science Foundation of China[12372051]
; State Key Laboratory of High-speed Maglev Transportation Technology[SKLM-SFCF-2023-001]
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| Funding Organization | CAS Project for Young Scientists in Basic Research
; National Natural Science Foundation of China
; State Key Laboratory of High-speed Maglev Transportation Technology
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| Classification | 二类
|
| Ranking | 1
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| Contributor | Wu, Han
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| Citation statistics | 正在获取...
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| Document Type | 期刊论文
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| Identifier | http://dspace.imech.ac.cn/handle/311007/95600
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| Collection | 流固耦合系统力学重点实验室
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Recommended Citation
GB/T 7714 |
Liu MJ,Fu, Shanqiang,Wu H,et al. Predictive control based on LSTM for suspension operation of maglev vehicle[J]. JOURNAL OF VIBRATION AND CONTROL,2024:15.Rp_Au:Wu, Han
|
| APA |
刘梦娟,Fu, Shanqiang,吴晗,Liang, Xin,张伟为,&曾晓辉.(2024).Predictive control based on LSTM for suspension operation of maglev vehicle.JOURNAL OF VIBRATION AND CONTROL,15.
|
| MLA |
刘梦娟,et al."Predictive control based on LSTM for suspension operation of maglev vehicle".JOURNAL OF VIBRATION AND CONTROL (2024):15.
|
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