城市轨道交通车辆制动系统压力控制方法的智能化改进研究
赵欣董建峰崔晓军杜振振毕经全
Research on Intelligentized Improvement of Urban Rail Transit Vehicle Braking System Pressure Control Measures
ZHAO XinDONG JianfengCUI XiaojunDU ZhenzhenBI Jingquan
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作者信息:中车青岛四方车辆研究所有限公司制动事业部， 266031， 青岛
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Affiliation:CRRC Qingdao Sifang Rolling Stock Research Institute Co., Ltd., 266031, Qingdao, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2022.03.015
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中图分类号/CLCN:U260.36
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栏目/Col:研究报告
摘要:
针对城市轨道交通车辆空气制动系统因压力信号采集异常而无法实现压力控制的问题，利用智能控制的原理对现有的控制方法进行改进与优化。在压力信号采集正常时，选择有效的学习样本，对电磁阀控制参数进行学习和记录；在压力信号采集异常时，根据学习所获得的控制参数，对电磁阀进行开环控制。经试验台验证后结论如下：智能化改进后的压力控制方法不仅可以在压力信号采集异常时对压力进行开环控制，且具有与信号采集正常时相同的响应时间和良好的控制精度，可满足城市轨道交通车辆制动系统的运用要求。
Abstracts:
Targeting the problem of pressure control failure of urban rail transit vehicle pneumatic braking system due to abnormal acquisition of pressure signal, an improvement and optimization of current pressure control measure using principle of intelligentized control is proposed. When the acquisition of pressure signal is normal, effective learning samples are selected to learn and record the control parameters of solenoid valves. When the pressure signal acquisition is abnormal, according to the learned and recorded control parameters, openloop control of the solenoid valves is carried out. Conclusions from verification by the test bench are as follows: the intelligently improved pressure control measure can not only carry out openloop control on the pressure in the case of abnormal pressure signal acquisition, but also have the same response time and good control accuracy as when it's normal, meeting the application requirements of urban rail transit vehicle braking system.
引文 / Ref:
赵欣，董建峰，崔晓军，等.城市轨道交通车辆制动系统压力控制方法的智能化改进研究[J].城市轨道交通研究，2022，25（3）：71.
ZHAO Xin，DONG Jianfeng，CUI Xiaojun，et al.Research on Intelligentized Improvement of Urban Rail Transit Vehicle Braking System Pressure Control Measures[J].Urban mass transit，2022，25（3）：71.
ZHAO Xin，DONG Jianfeng，CUI Xiaojun，et al.Research on Intelligentized Improvement of Urban Rail Transit Vehicle Braking System Pressure Control Measures[J].Urban mass transit，2022，25（3）：71.
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