Development of a Didactic Graphical Simulation Interface on MATLAB for Systems Control

L. Trindade, P. G. S. Dias, V. F. S. B. Grilo, M. F. Santos, Paolo Mercorelli
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引用次数: 2

Abstract

This paper presents a graphical interface developed on Matlab to control first-order systems. Taking this function into account, the user can perform the system identification through Alfaro, Bröida, Ho et al., Smith and Vítečková. After, it is possible to choose the control method, Ziegler-Nichols and Cohen-Coon. In this way, the user will be able to obtain the system’s response if a continuous PID control is applied, either by Ziegler-Nichols or Cohen-Coon, as well as the controller P (Proportional), I (Integrative), and D (Derivative). In addition, the user will also be able to choose a specific discretization method to obtain the system response for a discrete PID controller also from Ziegler-Nichols and Cohen-Coon. The setpoint, sampling time, and modification of the constants P, I, and D can be changed. The discretization methods are Zero Order Hold, Triangular Approximation, and Tustin. Thus, the system’s response to the discrete PID control can be obtained. The developed interface demonstrated the importance of didactic platforms for control systems through this practicality.
系统控制教学图形仿真界面的MATLAB开发
本文介绍了用Matlab开发的一阶系统控制图形界面。考虑到这个功能,用户可以通过Alfaro、Bröida、Ho et al.、Smith和Vítečková进行系统识别。之后,可以选择齐格勒-尼科尔斯和科恩-库恩的控制方法。这样,如果应用连续PID控制,用户将能够获得系统的响应,无论是齐格勒-尼科尔斯还是科恩-库恩,以及控制器P(比例),I(积分)和D(导数)。此外,用户还可以选择特定的离散化方法来获得离散PID控制器的系统响应,同样来自齐格勒-尼科尔斯和科恩-库恩。设定值、采样时间和常数P、I和D的修改都可以改变。离散化方法有零阶保持法、三角逼近法和塔斯汀法。从而可以得到系统对离散PID控制的响应。开发的界面通过这种实用性证明了教学平台对控制系统的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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