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Model identification and controller design for servomotor

机译:伺服电机的模型辨识与控制器设计

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摘要

The availability of modern tools such as Matlab System Identification Toolbox and LabVIEW System Identification Toolkit make plant model identification using experimental data easy to be implemented and less cumbersome than using Physic laws. This method can provides reliable and approximate model structure. Currently, many researchers keen on using Matlab System Identification Toolbox to approximate their plant models. This paper presents model identification using Matlab System Identification Toolbox from open-loop input-output experimental data that obtained from a Quanser DC servomotor. The reliability of obtained model was tested by designing feedback control system using pole-placement method. Simulation and real-time studies were conducted to show the reliability of the obtained model. Results show that the obtained model shows acceptable performances in both the simulation and real-time studies.
机译:Matlab系统识别工具箱和LabVIEW系统识别工具箱等现代工具的可用性使使用实验数据进行植物模型识别变得容易实施,并且比使用物理定律更省力。该方法可以提供可靠且近似的模型结构。当前,许多研究人员热衷于使用Matlab系统识别工具箱来近似他们的工厂模型。本文利用Matser系统识别工具箱,根据从Quanser直流伺服电机获得的开环输入输出实验数据,提出了模型识别方法。通过采用极点配置方法设计反馈控制系统,对所获得模型的可靠性进行了检验。仿真和实时研究表明了所获得模型的可靠性。结果表明,所获得的模型在仿真和实时研究中均显示出可接受的性能。

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