控制与信息技术Issue(3)：14-24,11.DOI:10.13889/j.issn.2096-5427.2025.01.200
地铁受电弓模型参考自适应控制研究
Study on Model Reference Adaptive Control for Subway Pantographs
摘要
Abstract
The coupling performance of subway pantographs with catenaries affects the quality of current collection and the safety of trains.The rigidity of these catenaries exhibits periodicity and fluctuations due to factors such as geographical locations,seasons,and wear extents,and changes over time,making subway pantograph-catenary interactions an extremely complex system with time-varying parameters.In order to mitigate fluctuations in pantograph-catenary contact force and ensure current collection quality,this paper proposes a model reference adaptive control(MRAC)method for subway pantographs.Firstly,a catenary rigidity curve was derived for a subway line from a rigid catenary finite element model,followed by the establishment of an active control dynamics model for the subway pantograph-catenary system.Next,a reference model for the ideal active control of subway pantographs was developed under the linear quadratic optimal control(LQR)strategy.Then,the MRAC law for subway pantograph-catenary systems was formulated to enable the adaptive control of pantographs under various conditions,such as changes in catenary rigidity,degradation in pantograph performance,and variations in track and vehicle conditions.Finally,the effectiveness of the MRAC method for subway pantographs was verified through simulations.The simulation results showed that,at train speeds of 60 km/h,70 km/h,and 80 km/h,adopting the MRAC method achieved reductions in the amplitude of pantograph-catenary contact force fluctuations by about 30%to 40%,demonstrating effective improvements in the current collection quality of subway pantographs.关键词
刚性接触网-受电弓/线性二次型最优控制/模型参考自适应控制/弓网接触力Key words
rigid catenary-pantograph/linear quadratic optimal control(LQR)/model-reference adaptive control(MRAC)/pantograph-catenary contact force分类
信息技术与安全科学引用本文复制引用
杨岗,沈鑫,孔国伟..地铁受电弓模型参考自适应控制研究[J].控制与信息技术,2025,(3):14-24,11.基金项目
国家自然科学基金(U2034210) （U2034210）
四川省重点研发项目(2023YFG0063) （2023YFG0063）
