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