高速列车垂向振动的模拟器再现方法研究  

Fuzzy Self-Tuning Based Washout Algorithm for Simulator of High Speed Locomotive Vertical Vibration

作　　者：王小亮[1] 李立[1] 张卫华[2] 

机构地区：[1]西南交通大学机械工程学院,成都610031 [2]西南交通大学牵引动力国家重点实验室,成都610031

出　　处：《振动．测试与诊断》2009年第1期101-104,共4页Journal of Vibration,Measurement & Diagnosis

基　　金：西南交通大学牵引动力国家重点实验室基金资助项目(编号:TPL0606)

摘　　要：针对目前高速列车驾驶模拟器经典洗出算法模拟垂向振动的不足,提出了一种模糊自整定洗出算法。根据驾驶员在真实列车和列车模拟器中的垂向振动感觉误差及实际列车垂向振动参数与模拟器垂向通道滤波器参数之间的关系进行模糊推理,实现滤波器参数的实时调节。数值计算表明,利用模糊自整定洗出算法得到的感觉误差指数较经典洗出算法降低了14.21%,有效地提高了模拟器的逼真度。To overcome the deficiencies of present proprioceptive simulation algorithms such as the classical washout algorithm applied to the vertical vibration of high speed locomotive driving simulator,a new fuzzy self-tuning washout algorithm was proposed.The fuzzy reasoning was made according to the vertical vibration sense error of driver between the real train and its simulator,and the input of real vertical vibration parameters of a locomotive,and as a result,the coefficients of filters were adjusted in real time.The numerical calculation shows the sensation error index of the fuzzy self-tuning control washout algorithm decreases 14.21% compared with the classical washout algorithm.The fidelity of simulator was enhanced effectively.

关 键 词：列车模拟器 垂向振动 洗出算法 模糊自整定控制 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] TP273.4[自动化与计算机技术—计算机科学与技术]