内模控制中的虚拟参考反馈校正设计

发布时间：2018-03-19 14:16

本文选题：内模控制　切入点：虚拟参考反馈校正　出处：《系统科学与数学》2017年02期 　论文类型：期刊论文

【摘要】：针对内模控制中的真实模型、辨识模型和内模控制器同时出现,因传统内模控制器的设计紧紧依赖于真实模型和辨识模型,从而使得内模控制器设计过程较复杂.为规避真实模型的建模,使辨识模型的建模与内模控制器设计可同步实现,文章将虚拟参考反馈校正思想应用于内模控制中.虚拟参考反馈校正思想可将辨识模型和内模控制器的求解转化为参数辨识过程.为建立虚拟参考反馈校正思想与传统自适应控制方法间的等价性,推导出对输入-输出观测数据作预滤波处理的滤波器.为衡量内模控制中两类未知参数的辨识精度,采用渐近性理论推导两类未知参数矢量的渐近方差矩阵式.以此渐近方差矩阵式的迹运算作为目标函数,以输入观测数据的功率谱密度作为优化决策变量,利用初等代数运算求解出内模控制中的最优输入功率谱.最后用仿真算例验证本文辨识方法的有效性.
[Abstract]:For the real model in the internal model control, the identification model and the internal model controller appear simultaneously, because the design of the traditional internal model controller is closely dependent on the real model and the identification model. In order to avoid the modeling of real model, the modeling of identification model and the design of internal model controller can be realized synchronously. In this paper, the idea of virtual reference feedback correction is applied to internal model control. The idea of virtual reference feedback correction can transform the solution of identification model and internal model controller into parameter identification process. Equivalence with traditional adaptive control methods, A filter for pre-filtering of input-output observation data is derived. In order to measure the identification accuracy of two kinds of unknown parameters in internal model control, The asymptotic variance matrix of two kinds of unknown parameter vectors is derived by using the asymptotic theory, the trace operation of the asymptotic variance matrix is taken as the objective function, and the power spectral density of the input observation data is taken as the optimization decision variable. The optimal input power spectrum in internal model control is solved by elementary algebraic operation. Finally, the effectiveness of the proposed identification method is verified by a simulation example.
【作者单位】：景德镇陶瓷大学机械电子工程学院;
【基金】：部委级资助项目(2012SYAB321)资助课题
【分类号】：TP273

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