光电跟踪转台的控制模型辨识

针对大功率永磁同步电机驱动的光电跟踪转台,提出了一种基于特征系统实现算法的控制模型辨识方法。首先,根据永磁同步电机的矢量控制原理,对白噪声测试系统进行了系统配置;其次,采用功率谱密度函数的分析方法对系统的输入和输出数据序列进行了分析,得到了系统的频率响应函数;最后,通过特征系统实现算法对系统的马尔可夫参数进行了辨识,获得了光电跟踪转台的控制模型。实验结果表明:采用特征系统实现算法可以精确地辨识出光电跟踪转台的控制模型,该控制模型能够较好地反映系统的动态特性,为控制器算法的设计提供了理论依据,具有较好的实用性。

Control model identification of opto-electronic tracking turntable

A control model identification method based on eigensystem realization algorithm (ERA), was proposed for the opto-electronic tracking turntable driven by a large power permanent magnet synchronous motor (PMSM). Firstly, the test configuration was designed based on the vector control theory of PMSM. Secondly, the frequency response function of the system was acquired through the power spectrum density function, which analyzed the sequence of the input and output data. Finally, to acquire the control model of the opto-electronic tracking turntable, the ERA was adopted to identify the Markov parameters of the control system. The experiment results demonstrate that the control model of the turntable can be identified accurately through the ERA, and the control model, which reflects the dynamics of the system better, can provide theory basis for the controller design. The results also confirm that the proposed method is practical.