【摘要】 通过对摆式列车倾摆控制系统输入、输出数据的研究,建立一个来自实验数据的倾摆控制系统模型。基于AIC信息准则法极大似然参数估计建模的基本思想和理论,分析摆式列车倾摆伺服系统的结构、作动原理及控制输入参考信号的特点,通过仿真获取摆式列车倾摆控制系统的输入、输出数据,用极大似然函数法对同类模型的不同模型结构进行参数估计,并以得到的估计参数计算出相应的似然函数值及AIC信息距离值,选取AIC信息距离最小的模型为倾摆伺服系统的模型。实验仿真结果表明:基于AIC信息准则的极大似然参数估计方法能够对系统模型进行建模估计,该模型不仅是同类模型中与实际系统误差最小的而且是最佳的。更多还原

【Abstract】 The titling control model is built on the basis of the experimental data by studying the I/O (input and output) data of the titling control of the titling train. Based on the fundamental idea and theory of the model structures of the maximum likelihood method of AIC, the paper analyzes the features of the titling servo system structure, working theorem of the servo system and the control reference input signals. Through simulation, the I/O data of the control system of the titling train is obtained. With the maximum likelihood function method, the paper estimates the parameters of different model structures of the same model. Then the values of the maximum likelihood function values and the AIC information distance are calculated. The model with the minimum information distance is chosen as the servo system model. The experiment simulation results show that the estimation method of the AIC information criterion based maximum likelihood parameter can carry out modeling estimtion of system models and this model structure has the least error and is the best of its kind.更多还原