摘要
为了克服数学模型不能反映列车运行的真实情况,利用Adams/rail建立基于磁流变阻尼器的高速动车组8车模型,提出了基于一般模糊控制的量化因子、比例因子的参数自适应模糊控制策略。通过Matlab/Simulink环境中对高速动车组模型与被动控制和简单开关半主动控制、一般模糊控制、参数自适应模糊控制策略进行联合仿真分析。结果表明,一般模糊控制和参数自适应模糊控制比简单开关半主动控制控制品质好,参数自适应模糊控制控制效果最佳;半主动控制策略在降低车体横向加速度,脱轨系数和轮重减载率方面,明显优于被动控制。在提高列车运行平稳性,乘客乘坐舒适度和运行安全性方面显出优势。
In order to overcome the shortcoming of traditional mathematical models which cannot reflect the real situation of running trains,this paper establishes the 8-cars model of high-speed EMUs based on the magnetorheological damper in Adams/rail,and proposes the parameter adaptive fuzzy control strategy based on the quantification factor and proportionality factor of general fuzzy control.The 8-cars model of high-speed EMUs is simulated in Matlab/Simulink environment together with the passive control,simple on-off semi-active control,general fuzzy control or parameter adaptive fuzzy control.The results show that the general fuzzy control and parameter adaptive fuzzy control are better than the simple on-off semi-active control;comparing with the passive control,semi-active control can obviously reduce lateral acceleration,derailment coefficient and wheel unloading rate which can improve the riding stability,comfort and safety of trains.
出处
《铁道机车车辆》
北大核心
2011年第1期4-9,共6页
Railway Locomotive & Car
基金
教育部工程研究中心资助项目(SROMRGV(BJTU)2010-001)
关键词
高速动车组
磁流变阻尼器
简单开关控制
一般模糊控制
参数自适应模糊控制
high-speed EMUs
magnetorheological damper
simple on-off semi-active control
general fuzzy control
parameter adaptive fuzzy control
