【摘要】 针对摆式列车倾摆伺服控制系统的原理及特点,应用不同的辨识方法对倾摆伺服控制系统进行辨识,并对各种方法辨识结果进行比较。仿真试验结果表明:当考虑倾摆控制系统的非线性时,神经网络方法能很好地辨识出倾摆伺服控制系统的动态特性,解决倾摆伺服控制系统辨识中的非线性问题,而其它方法较差。更多还原

【Abstract】 The titling servo control system of the titling train is identified by varied methods according to their features. And the results from the different identification methods are compared. The simulating results show that the neural networks method can effectively identify the dynamic features when the nonlinearity is taken into accounts and can solve the nonlinear problems of the titling control system. The other methods are less better.更多还原