[1]谈玉龙,谢振宇,祝红祥,等.车载飞轮电池的振动控制策略研究[J].机械与电子,2018,(04):48-53.
　TAN Yulong,XIE Zhenyu,ZHU Hongxiang,et al.Research on Vibration Control Strategy of Flywheel Battery for Vehicle[J].Machinery & Electronics,2018,(04):48-53.
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车载飞轮电池的振动控制策略研究
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2018年04期
页码:
48-53
栏目:
自动控制与检测
出版日期:
2018-04-24

文章信息/Info

Title:
Research on Vibration Control Strategy of Flywheel Battery for Vehicle
文章编号:
1001-2257(2018)04-0048-06
作者:
谈玉龙; 谢振宇; 祝红祥; 程炜超
(南京航空航天大学机电学院,江苏 南京 210016)
Author(s):
TAN Yulong; XIE Zhenyu; ZHU Hongxiang; CHENG Weichao
(College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)
关键词:
振动控制;  磁悬浮轴承;  单神经元;  自适应控制;  PID
Keywords:
vibration control;  active magnetic bearing;  single neural;  adaptive control;  PID
分类号:
TP273
文献标志码:
A
摘要:
针对车载飞轮电池在不同工况下振动及磁悬浮轴承非线性和本质不稳定性的特点,开发了基于单神经元的PID控制软件,利用单神经元的自学习能力并通过加权系数自适应地对PID各控制参数进行调整,使得控制器的输出为PID各控制参数的非线性组合,克服了单一PID控制参数无法满足系统动态性能需要及控制参数整定困难的缺点。通过仿真分析和飞轮转子系统的高速运行试验,对比研究了不完全微分PID策略和单神经元自适应PID策略的控制效果。研究结果表明,与不完全微分PID策略相比,单神经元自适应PID策略具有无超调、鲁棒性好、调节时间短等优点,飞轮转子系统具有更好的动态性能。
Abstract:
By analyzing the characteristics of flywheel vibration under different circumstance and the non-linearity and instability of the active magnetic bearing(AMB), this paper proposes an adaptive PID controller. Using the single neural self-learning ability, it can adaptively adjust the PID parameters through weighting coefficient. The output of the controller is a non-linear combination of PID control parameters. The proposed controller can overcome the difficulties that the single PID control parameters could not meet the dynamic performance requirements of the system and the parameter tuning. Through simulation analysis and high-speed operation test of flywheel rotor system, the control effects of incomplete differential PID strategy and single neural adaptive PID strategy were compared and studied. The results of simulation and experiment show that single neural adaptive PID controller has higher accuracy, better robustness, and shorter adjusting time, which can improve the dynamic performance of the flywheel rotor system.

参考文献/References:

[1] 戴兴建,邓占峰,刘刚,等.大容量先进飞轮储能电源技术发展状况[J].电工技术学报,2011,26(7):133-140.
[2] Hadjipaschalis I,Poullikkas A,Efthimiou V.Overview of current and future energy storage technologies for electric power application[J].Renewable and Sustainable Energy Reviews,2009,13(6/7):1513-1522.
[3] Schweiter G, Maslen E H. Magnetic Bearings:theory,design,and application to rotating machinery[M]. New York:Springer,2009.
[4] Desmidt H A, Wang K W, Smith E C. Robust-adaptive magnetic bearing control of flexible matrix composite rotorcraft driveline[J].Journal of the American Helicopter Society, 2008,53(2): 115-124.
[5] Murata M,Tajima H,Watanabe T,et al.New modeling and methods for flexible rotors with magnetic bearings toward passing through critical speeds caused by elastic mode[R]. Martigny,Switzerland:The 10th International Symposium on Magnetic Bearings,2006.
[6] 苏义鑫,龙祥,张丹红,等.主动磁轴承的神经网络自适应PID控制[J].华中师范大学学报(自然科学版),2004,38(3):304-307.
[7] 谢振宇,牟伟兴,周红凯,等.基于转速的磁悬浮轴承转子系统变参数控制[J].振动工程学报,2012,25(6):739-744.
[8] 庄华强.磁悬浮柔性转子系统的自适应控制研究[D].南京:南京航空航天大学,2010.
[9] Lu B,Choi H,Buckner G D,et al.Linear parameter-varying techniques for a control of a magnetic bearing system[J].Control Engineering Practice,2008,16(10):1161-1172.
[10] 陶永华.新型PID控制及其应用[M].北京:机械工业出版社,2002.
[11] Wu Q H,Ni W,Zhang T.Research on Digital Control System for Three-degree-Freedom Hybrid Magnetic Bearing with Bilateral Magnetic Pole Faces[C]∥Chinese Control and Decision Conference.Xuzhou,China,2010:2893-2897.

相似文献/References:

[1]华 燕,张发品,周 瑾.基于弹性支承的磁悬浮轴承转子系统振动控制[J].机械与电子,2015,(12):60.
　HUA Yan,ZHANG Fapin,ZHOU Jing.Vibration Control for Magnetic Bearing Rotor System Based on Elastic Support[J].Machinery & Electronics,2015,(04):60.

备注/Memo

备注/Memo:
收稿日期:2017-12-26
基金项目:国家自然科学基金资助项目(51275238)
作者简介:谈玉龙(1993-), 男,湖北孝感人,硕士研究生,研究方向为磁悬浮技术; 谢振宇(1968-),男,湖南株洲人,副教授,研究方向为磁悬浮技术、机电一体化和转子动力学等。
更新日期/Last Update: 2018-04-24