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首页> 外文期刊>International Journal of Mechanical Engineering Education >A Matlab toolbox for teaching modern system identification methods for industrial process control
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A Matlab toolbox for teaching modern system identification methods for industrial process control

机译：Matlab工具箱，用于教授工业过程控制的现代系统识别方法

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摘要

Many complex processes can be successfully controlled using two- or three-term (PI or PID) controllers. However, the task of selecting individual controller gains (tuning) can be time consuming and expensive. An important aspect of tuning is the determination of a mathematical model that captures the dynamics of the process. This is known as system identification, which can be achieved in various ways using either step response or relay feedback tests. This paper describes a Matlab toolbox that is currently being developed to facilitate the teaching of modern approaches to system identification and controller design found in the control research literature. When used in undergraduate teaching, it serves the dual purpose of making the techniques more accessible to students, and of providing challenging project work in the field of control engineering. To demonstrate the toolbox, a recently implemented algorithm is described, together with details of its implementation within the Matlab/Simulink environment. Its effectiveness is then demonstrated by comparing it with a classical approach. Suggestions are also made as to how the software may be used for teaching purposes, and ongoing and future developments are described.
机译：使用二项或三项（PI或PID）控制器可以成功控制许多复杂的过程。但是，选择单个控制器增益（调整）的任务可能既耗时又昂贵。调整的一个重要方面是确定可捕获过程动态的数学模型。这称为系统识别，可以使用阶跃响应或继电器反馈测试以多种方式实现。本文介绍了一个Matlab工具箱，该工具箱目前正在开发中，以便利在控制研究文献中找到现代的系统识别和控制器设计方法。当用于本科教学时，它具有双重目的：使学生更容易使用该技术，并提供控制工程领域的挑战性项目工作。为了演示该工具箱，描述了一种最近实现的算法，以及在Matlab / Simulink环境中其实现方式的详细信息。然后通过将其与经典方法进行比较来证明其有效性。还提出了有关该软件如何用于教学目的的建议，并描述了正在进行的和将来的开发。

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