稳定平台系统辨识算法研究

Research on identification method for stabilized platform system

对稳定平台伺服系统进行理论分析,确定平台的数学模型。针对该系统提出了一种迭代极大似然法,并编制了相应的计算程序。用此算法来辨识稳定平台直流力矩电机模型的传递函数。通过对比相同条件下的仿真和实验结果,验证了该辨识模型的准确性。该算法对于稳定平台系统辨识的研究有很大的实际意义,并且可以应用于其他非线性连续-离散时间模型的辨识,有很大的工程应用价值。

The dissertation makes theoretic analysis for tracking gimbal servo system at first and es- tablishes the mathematical model . Then a iterative algorithm of maximum likelihood estimation is presen- ted for the system, and the corresponding calculation program is compiled. The algorithm is used to iden- tify the transfer function of system identification DC torque motor. Through comparing the output of real system with model, the veracity of the model is approved. The algorithm is of great practical significance for the research of stabilized platform system identification. It is also could be applied to the identification of other nonlinear continuous - discrete time model, and it has a great engineering value.