受电弓状态反馈线性化主动控制方法研究

庄哲; 施莹; 彭飞; 林建辉

doi:10.13433/j.cnki.1003-8728.2017.1020

受电弓状态反馈线性化主动控制方法研究

doi: 10.13433/j.cnki.1003-8728.2017.1020

庄哲¹,
施莹¹,
彭飞²,
林建辉^1, ,

1.
西南交通大学牵引动力国家重点实验室, 成都 610031;
2.
山东科技大学电气与自动化工程学院, 山东青岛 266590

基金项目:

国家自然科学基金重点项目（61134002）资助

详细信息

作者简介:
庄哲(1987-),博士研究生,研究方向为弓网耦合,故障诊断,iamzhuangzhe@hotmail.com

通讯作者:
林建辉(联系人),教授,博士,博士生导师,lin13008104673@126.com

计量
- 文章访问数: 194
- HTML全文浏览量: 19
- PDF下载量: 7
- 被引次数: 0
出版历程
- 收稿日期: 2016-04-24
- 刊出日期: 2017-10-05

Research on Active Control Method of Pantograph State Feedback Linearization

1.
State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China;
2.
College of Electrical Engineering and Automation, Shandong University of Science and Technology, Shandong Qingdao 266590, China

摘要

摘要: 在三元弓网耦合动力学模型基础上，利用非线性系统的微分几何理论，通过微分同胚映射，建立弓网耦合振动系统全局输入-输出线性化模型，提出一种基于状态反馈线性化的弓网系统全局线性化主动控制策略。该控制策略的整定参数集可以通过经典零极点配置控制理论进行优化设计，克服了既有主动控制策略对关键参数经验估计和经验知识积累依赖的不足。同时，研究对比表明，相较于LQR最优控制策略，全局线性化主动控制策略作用下的弓网接触压力标准差下降了30%以上，并且对期望弓网接触压力均值的有更好的跟踪效果，验证了该控制策略的优越性。
- 弓网系统 /
- 弓网耦合动力学模型 /
- 状态反馈线性化 /
- 全局线性化控制 /
- 主动控制
Abstract: Based on 3-element coupled pantograph-catenary dynamic model, using the differential geometry theory of nonlinear system and the differential homeomorphism transformation, a global input-output linearization model of pantograph-catenary coupled vibration system was established, and the global linearization active control strategy for pantograph-catenary system based on state feedback linearization was proposed. The parameter cluster could be optimized through the zero-poles configuration in typical control theory, and it can overcome the shortcomings of the existing active control strategies which need the empirical estimation of the critical parameters and the accumulation of the empirical knowledge. The research results show that:compared with the LQR optimum control strategy, the global state feedback linearization active control can achieve more than 30% decrease in contact force of pantograph-catenary system; in the meanwhile, a better tracing result for the expect contact force mean value can be achieved, and thus the advantage of the control strategy presented in this paper is verified.
- pantograph-catenary system /
- pantograph-catenary coupling dynamic model /
- state feedback linearization /
- active control /

HTML全文

参考文献(17)

[1]	杨岗.弓网系统主动及半主动控制研究[D].成都:西南交通大学,2013:15-34 Yang G. Active and semi-active control for pantograph-catenary system[D]. Chengdou:Southwest Jiaotong University, 2013:15-34(in Chinese)
[2]	鲁小兵,刘志刚.高速铁路受电弓主动控制算法适用性研究[J].西南交通大学学报,2015,50(2):233-240 Lu X B, Liu Z G. Applicability of active control algorithm for pantograph of high speed railway[J]. Journal of Southwest Jiaotong University, 2015,50(2):233-240(in Chinese)
[3]	Tieri R. Innovative active control strategies for pantograph catenary interaction[D]. Stockholm:Royal Institute of Technology, 2012
[4]	Wu Y, Zheng J H, Zheng T. Optimizing active control scheme of high-speed pantograph[C]//IEEE 6th International Power Electronics and Motion Control Conference, Wuhan, 2009:2622-2626
[5]	杨岗,李芾.高速受电弓滑模半主动控制[J].西南交通大学学报,2013,48(1):10-15 Yang G, Li F. Sliding mode Semi-active control for high speed pantograph[J]. Journal of Southwest Jiaotong University, 2013,48(1):10-15(in Chinese)
[6]	Walters S. Simulation of fuzzy control applied to a railway pantograph-catenary system[C]. Knowledge-Based and Intelligent Information and Engineering Systems, International Conference, Cardiff, Proceedings. DBLP, 2010:322-330
[7]	Pisano A, Usai E. Contact force regulation in wire-actuated pantographs via variable structure control and frequency-domain techniques[J]. International Journal of Control, 2008, 81(11):1747-1762
[8]	鲁小兵,刘志刚,宋洋.基于磁流变阻尼器的受电弓主动控制分析与验证[J].仪器仪表学报,2015,36(1):103-109 Lu X B, Liu Z G, Song Y. Analysis and verification of pantograph active control based on MR damper[J]. Chinese Journal of Scientific Instrument, 2015,36(1):103-109(in Chinese)
[9]	Kar A E, Gencoglu M T. Adaptive fuzzy control approach for dynamic pantograph-catenary interaction[C]//Mechatronika. Prague:International Symposium, 2012:1-5
[10]	杨岗,李芾.集成VR技术的高速受电弓模糊主动控制及仿真[J].系统仿真学报,2014, 26(2):389-393 Yang G, Li F. Integration of fuzzy active control and VR for high-speed pantograph[J]. Journal of System Simulation, 2014,26(2):389-393(in Chinese)
[11]	时光,陈忠华,郭凤仪,等.弓网接触力反馈线性化控制[J].控制理论与应用, 2016,33(1):85-91 Shi G, Chen Z H, Guo F Y, et al. Feedback linearization control of load between pantograph and catenary[J]. Control Theory & Applications, 2016,33(1):85-91(in Chinese)
[12]	Ide C K, Olaru S, Rodriguez-Ayerbe P, et al. A nonlinear state feedback control approach for a Pantograph-Catenary system[C]//System Theory, Control and Computing. IEEE, 2013:268-273
[13]	Pelc J. Influence of pantograph suspension characteristics on the contact quality with the catenary for high speed trains[J]. Computers & Structures, 2012,110-111(10):32-42
[14]	Pisano A, Usai E. Contact force estimation and regulation in active pantographs:An algebraic observability approach[C]//Decision and Control, New Orleans:IEEE Conference on. IEEE Xplore, 2008:4341-4346
[15]	Na W K, Gou B. Feedback-linearization-based nonlinear control for PEM fuel cells[J]. IEEE Transactions on Energy Conversion, 2008,23(1):179-190
[16]	陈江辉,谢运祥,王健敏.单Buck型逆变器状态反馈线性化最优控制[J].电机与控制学报,2014,18(8):75-80 Chen J H, Xie Y X, Wang J M. State variable feedback linearization optimum control of buck inverter[J]. Electric Machines and Control, 2014, 18(8):75-80(in Chinese)
[17]	Henson M A, Seborg D E. Critique of exact linearization strategies for process control[J]. Journal of Process Control, 1991, 1(3):122-139