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Teaching Control Engineering Concepts using Open Source tools on a Raspberry Pi board *

机译:在Raspberry Pi板上使用开源工具教授控制工程概念 *

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This paper presents the idea about how to combine a set of software and hardware resources available in literature to be used as support to control engineering education. The available tools allow to mix topics related to programming, communications, operating systems, and control theory. The well-known Raspberry Pi board is used as platform to exploit the di_erent proposed concepts. SciPy, Matplotlib, and NumPy libraries, which are Python-based open-source libraries for scienti_c computing and graphical representation, are used to perform Matlab-like simulations and to implement classical control loops. On the other hand, virtual processes developed in Easy Java Simulations are adapted to be controlled through the network from a controller implemented on the Raspberry Pi with Python. This option is very useful from a teaching point of view since time-based, networked-based, or event-based control approaches can be easily introduced on this proposed architecture. Furthermore, once students know how to implement control loops on the Raspberry Pi using Python, external real processes can be easily controlled by using the GPIO interface available in the this electronic board. Then, a project based on these tools and ideas is motivated and presented in this paper to control a two-tank level process ? Copyright IFAC 2015.
机译:本文提出了有关如何结合文献中可用的一组软件和硬件资源以用作控制工程教育的支持的想法。可用的工具允许混合与编程,通信,操作系统和控制理论有关的主题。著名的Raspberry Pi开发板被用作开发不同提议概念的平台。 SciPy,Matplotlib和NumPy库是基于Python的开源库,用于scienti_c计算和图形表示,可用于执行类似Matlab的仿真并实现经典的控制循环。另一方面,在Easy Java Simulations中开发的虚拟过程适用于通过网络在Raspberry Pi上使用Python实现的控制器通过网络进行控制。从教学的角度来看,此选项非常有用,因为可以在此建议的体系结构上轻松引入基于时间的,基于网络的或基于事件的控制方法。此外,一旦学生知道如何使用Python在Raspberry Pi上实现控制循环,就可以使用此电子板上可用的GPIO接口轻松地控制外部实际过程。然后,基于这些工具和思想的项目受到激励,并在本文中提出来控制两罐级流程? IFAC 2015版权所有。

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