[1]朱 琳,蒋 毅,佟来生,等.基于多维泰勒网优化控制的悬浮控制方法研究[J].机车电传动,2020,(06):85-87.[doi:10.13890/j.issn.1000-128x.2020.06.018]
 ZHU Lin,JIANG Yi,TONG Laisheng,et al.Study on Levitation Control Method Based on Multi-dimensional Taylor Network Optimal Control[J].Electric Drive for Locomotives,2020,(06):85-87.[doi:10.13890/j.issn.1000-128x.2020.06.018]
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基于多维泰勒网优化控制的悬浮控制方法研究()
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机车电传动[ISSN:1000-128X/CN:43-1125/U]

卷:
期数:
2020年06期
页码:
85-87
栏目:
磁浮技术专栏
出版日期:
2020-11-10

文章信息/Info

Title:
Study on Levitation Control Method Based on Multi-dimensional Taylor Network Optimal Control
文章编号:
1000-128X(2020)06-0085-03
作者:
朱 琳蒋 毅佟来生张文跃
(中车株洲电力机车有限公司 磁浮系统研究所,湖南 株洲 412001)
Author(s):
ZHU Lin JIANG Yi TONG Laisheng ZHANG Wenyue
( Institute of Maglev Systems, CRRC Zhuzhou Locomotive Co., Ltd., Zhuzhou, Hunan 412001, China )
关键词:
磁浮列车悬浮控制多维泰勒网非线性PID控制律
Keywords:
maglev train levitation control multi-dimension Taylor network nonlinear PID control law
分类号:
U237
DOI:
10.13890/j.issn.1000-128x.2020.06.018
文献标志码:
A
摘要:
针对磁浮列车悬浮系统具有较强的非线性特性和传统的PID控制律控制效果不理想的问题,提出了基于多维泰勒网(MTN)优化控制的悬浮系统非线性控制律,并进行了仿真测试。结果表明,相比传统的PID控制律,基于MTN优化的控制律对悬浮系统的控制效果具有更好的抗间隙和抗负载扰动能力。
Abstract:
Aiming at the problem that the levitation system of the maglev train has strong nonlinearity and the control effect of the commonly used linear control law is not ideal, the nonlinear control law of the levitation system based on multi-dimensional Taylor network (MTN) optimal control was proposed. The simulation results showed that the control law based on MTN optimal control had better anti-interference performance for gap and load than PID control law.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介:朱 琳(1978—),女,硕士,工程师,从事磁浮列车悬浮系统的研发工作。
更新日期/Last Update: 2020-11-10