Finite dimensional repetitive controller for identified model of a DC servo system

Ujjwal Mondal, A. Sengupta, Shanti Mohan Sinha, Bhaskar Das, Pradipta Ghosh
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引用次数: 3

Abstract

The presented effort is the extract of a composite work. Primarily to model a dc servo-system within the available framework through observed data. The observed data of the hardware are classified as input and output samples measured at discrete instants of time and collected as an array of data for finite duration. Several input-output data sets are collected and processed to find out the model of the dc servo motor through System Identification Tool Box of MATLAB, a Graphical User Interface (GUI) based approach. The fitness of identified model is checked every time new data set is applied to choose the best fitted model. Secondarily to demonstrate in steps the ways of design and implementation of Internal Model Principle (IMP) & Finite Dimensional Repetitive Control (FDRC) based Proportional Integral Derivative (PID) controller for the plant. A similar test has been made with the system using conventional PID control. Finally, a valid comparison is carried out to show advantage, disadvantage or limitation of applied control schemes.
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直流伺服系统辨识模型的有限维重复控制器
所提出的努力是一个综合工作的摘录。主要是通过观测数据在可用的框架内对直流伺服系统进行建模。硬件的观测数据被分类为在离散时刻测量的输入和输出样本,并作为有限持续时间的数据数组收集。利用基于图形用户界面(GUI)的MATLAB系统识别工具箱,对多个输入输出数据集进行采集和处理,找出直流伺服电机的模型。每次应用新数据集时,都会对识别出的模型进行适应度检查,以选择最适合的模型。其次,分步骤演示了基于内模原理(IMP)和有限维重复控制(FDRC)的比例积分导数(PID)控制器的设计和实现方法。采用传统的PID控制方法对系统进行了类似的测试。最后,进行了有效的比较,以显示所应用的控制方案的优点、缺点或局限性。
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