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轨道车辆弓网系统主动控制研究 被引量:1

Research on active control of rail vehicle bow network system
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摘要 列车受电弓与接触网间的接触力稳定直接影响列车的安全运行。对列车弓网系统进行主动控制是保证列车运行时弓网接触力稳定的有效方法。建立受电弓-接触网系统动力学模型,分别采用PID算法及模糊滑模控制对弓网系统进行控制。在此基础上提出一种模糊滑模自适应PID控制器。分析对比3种控制的效果,从而为研究高效智能的弓网主动控制系统提供科学理论依据。 The stable contact force between the train pantograph and the contact network is one of the main factors affecting the safe operation of the train.Active control of the train bow network system is an effective method to ensure the stability of the bow network contact force when the train is running.The dynamic model of the pantograph-contact network system is established,and the PID system and fuzzy synovial membrane control are used to control the bow network system.Based on this,a fuzzy synaptic adaptive PID controller is proposed.the effects of the three controls are analyzed and compared,so as to provide a scientific theoretical basis for the study of efficient and intelligent bow network active control system.
作者 蒋苏杰 杨俭 杨沥 孔令强 周群 冯婷立 JIANG Sujie;YANG Jian;YANG Li;KONG Lingqiang;ZHOU Qun;FENG Tingli(School of Urban Rail Transportation,Shanghai University of Engineering Science,Shanghai 201620,China)
出处 《智能计算机与应用》 2020年第3期128-131,137,共5页 Intelligent Computer and Applications
基金 国家自然科学基金(面上项目)(51575334) 上海市自然科学基金(19ZR1421700)。
关键词 受电弓 主动控制 控制算法 仿真 pantograph active control control algorithm simulation
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  • 1过润秋,洪旭,苏旺旺.基于模糊控制理论的二级倒立摆控制算法[J].西安电子科技大学学报,2006,33(1):111-115. 被引量:15
  • 2李永强,杨明忠.智能控制理论在倒立摆系统中的应用研究[J].现代机械,2006(2):100-102. 被引量:2
  • 3刘丽,何华灿.五种倒立摆控制器对比研究[J].计算机工程与应用,2006,42(30):3-5. 被引量:6
  • 4金鸿章,罗延明,肖真,张晓飞.抑制滑模抖振的新型饱和函数法研究[J].哈尔滨工程大学学报,2007,28(3):288-291. 被引量:33
  • 5Chen Zhimei,Zhang Jinggang,Zhao Zhicheng,et al.Adaptive fuzzy sliding mode control for uncertain nonlinear systems[C] //Proceedings of the Second International Conference on Machine Learning and Cybernetics.Xi'an:[s.n.] ,2003:1044-1047.
  • 6Qiao F,Zhu Q,Winfield A,et al.Fuzzy sliding mode control for discrete non-linear systems[J].Transactions of China Automation Society,2003,22(2):311-315.
  • 7陈文良,洪嘉振.分析动力学[M].北京:清华大学出版社,1994.
  • 8Ackennann J,Utkin V.Sliding mode control design based on Aekennann's Formula[J].IEEE Transactions on Automatic Control,1998,43(2):234-237.
  • 9Maravall D,Zhou C,Alonso J.Hybrid fuzzy control of the inverted pendulum via vertical forces[J].International Journal of Intelligent Systems,2005,20(2):195-211.
  • 10Chetouane F,Darenfed S.Neural network NARMA control of a gyroscopic inverted pendulum[J].Engineering Letters,2008,16(3):274-279.

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