闭环辨识算法研究及软件实现

Closed- loop identification algorithm and the software implementation

过程模型辨识一直是系统自适应控制中一个很关键的部分。然而许多辨识方法仍基于开环阶跃试验来实现对象的辨识。通过对基于正常运行数据的闭环辨识算法进行深入研究和讨论,发现该算法主要适用于一般的辨识对象,无法对微分对象进行辨识。利用MATLAB仿真进一步验证算法的有效性和局限性。最后将算法应用于软件,利用罗克韦尔仿真软件平台,验证了程序运算的可靠性。

System process model identification is always a critical part of the adaptive control. However many identification methods based on open loop step experiment to realize the object recognition. The paper carried on the research and discussion on closed-loop identification algorithm based on the normal operation of the data, found that the algorithm is manly applicable to the general object recognition not to the differermial objects. It further verifies the validity of the algorithm and limitations by using MATLAB simulation. The algorithm was applied to software, using Rockwell simulation software platform, test and verify the reliability of the program operation.