PLC控制程序的Matlab/Simulink仿真翻译方法
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收藏 454KB PDF 举报 “这篇论文提出了一种将PLC（可编程逻辑控制器）控制程序在Matlab/Simulink环境中进行仿真的翻译方法。该翻译工具能够自动将PLC控制程序转化为Matlab/Simulink的软件语言，即在Simulink环境中生成一个Matlab函数块，该函数块在模拟运行时控制工业过程模型。输入包括PLC类型、输入和输出数量以及PLC控制程序文件。输出是与Matlab/Simulink兼容的m文件，包含转换后的PLC控制程序。Évora大学的学生已经成功使用此工具，能够在Matlab/Simulink过程中测试他们的PLC控制程序。”
基于标题“PLC控制的matlab仿真”和描述，本文主要讨论了如何将PLC控制逻辑集成到Matlab/Simulink的仿真环境中，以便进行系统测试和验证。以下是关于这个主题的详细知识：
1. **PLC（可编程逻辑控制器）**：PLC是一种专为工业环境设计的数字操作电子系统，用于控制自动化过程。它能够接收来自传感器的输入信号，处理这些信号并根据预设的程序逻辑向执行器发送输出指令。
2. **Matlab/Simulink**：Matlab是一种数学计算软件，广泛应用于工程、科学和经济领域。Simulink是Matlab的一个扩展，提供图形化建模环境，用于模拟和分析多域动态系统。通过Simulink，用户可以创建复杂的系统模型，并进行实时仿真。
3. **PLC控制程序的仿真**：在Matlab/Simulink中仿真PLC控制程序，可以帮助工程师在实际部署前验证和优化控制逻辑。这种方法减少了硬件实验的成本，提高了效率，允许在安全环境中进行故障排除和调试。
4. **翻译方法**：论文提出的翻译方法将PLC控制程序转化为Matlab/Simulink兼容的代码，使得PLC逻辑可以直接控制Simulink模型。这种方法可能涉及到语法解析、符号表管理和代码生成等步骤。
5. **应用实例**：在船舶电站控制中，使用这种仿真技术可以模拟真实环境下的电力系统运行，测试PLC的控制策略是否有效，并确保在各种工况下系统的稳定性和安全性。
6. **教育意义**：学生能够利用这种工具，结合理论学习和实践操作，提高对PLC控制和系统建模的理解。这有助于培养他们的问题解决能力，同时减少了实验室设备的使用需求。
7. **关键词**：自动化、教育、工业控制，表明这种方法不仅适用于工业实践，也对教育领域有着积极的影响，特别是在自动化和工程教育中。
通过Matlab/Simulink仿真PLC控制程序，可以实现更高效、安全的设计和测试流程，同时也为教学提供了强大的辅助工具。这一方法在不同行业中具有广泛的应用前景，尤其在需要复杂控制逻辑和系统集成的领域。
PLC Control and Matlab/Simulink Simulations.
A Translation Approach
Teresa Deveza *, J. F. Martins **
* Universidade de Évora, Évora, Portugal
** CTS/UNINOVA and FCT/UNL, Lisboa, Portugal
teresa.deveza@gmail.com; jf.martins@fct.unl.pt
Abstract — This paper proposes a translation methodology
to emulate PLC control program in the Matlab/Simulink
environment. The translation package automatically
translates the PLC control program into Matlab/Simulink
software language. The PLC control program is translated
into a Matlab function block, within the Matlab/Simulink
environment, that will control the model of the industrial
process as long as the simulation runs. The translation
package inputs are: the type of PLC, the PLC’s number of
inputs and outputs and the PLC control program file. The
translation package output will be a Matlab/Simulink
compatible m-file with the correspondent PLC control
program translation. Universidade de Évora students are
successfully using this package, so that they can test their
PLC control programs together with Matlab/Simulink
process models.
Index Terms — Automation, Education, Industrial
Control, Simulation, Modeling.
I. I
NTRODUCTION
The practical test of an automation and control process
controlled by programmable logic controllers (PLC) is a
well-known problem [1-3]. There are several solutions
that can be implemented: scale models, batteries of led’s
and switches and Human Machine Interfaces (HMI),
Supervisory Control and Data Acquisition (SCADA)
systems or simulation tools. The use of scale models of
real processes is very expensive and difficult to adapt to
different processes. There is no question that this is the
best way to teach PLC controlled process, allowing the
students to test their projects in an almost real
environment, however their cost often prohibits its use.
The use of led’s and switches sets is extremely confusing
end uninteresting. This approach, only valid when small
processes are considered, severely reduces the student’s
motivation. Some HMI and SCADA systems allow this
feature but there are very expensive, not intended for this
purpose and usually consider property protocols. Some
PC-based process simulation tools have been developed,
using microcontroller technologies and designed to work
with any type of PLC [4]. Other commercial PLC
simulation tools are also available (PC-SIM, SIMTSX,
PSIM just to name a few). However, often these solutions
are not suitable to be integrated with other simulation
tools.
The use of Matlab/Simulink [5] has not been a regular
approach for teaching industrial automation and PLC
controlled processes. Assuming that the model of the
industrial process is implemented in the Matlab/Simulink
this paper presents a tool that can be used to implement
the PLC control program in Matlab/Simulink
environment. The basic idea is to consider the PLC
control program as a Matlab function block, within the
Matlab/Simulink environment, that will control the model
of the industrial process as long as the simulation runs.
The main objective of this work is to automatically
translate the PLC control program, written as an
instruction list, into Matlab/Simulink software language.
II. I
NDUSTRIAL PROCESS MODELLING
The implementation of an industrial production line
involves a large investment. Every decision at the design
stage should be made with extremely care in order to
assure that the automated manufacturing process will
successfully achieve the desired results.
The problem of industrial process modeling is not easy
or unique, and several approaches can be taken. These
processes can be considered as a discrete event system,
where the states of the dynamic system involved changes
accordingly to the occurrences of various and distinct
events. It is important, to keep the manufactures and
process integrators competitiveness, that the industrial
production systems keep being constantly improved. To
achieve this objective an efficient modeling approach is a
fundamental issue.
A modern production line is a highly integrated system
composed of automated workstations such as robots with
tool-changing capabilities, a hardware handling system
and storage system, PLC controlled processes, and a
computer control system that controls the operations of
the entire system. Every controlled industrial process can
be modeled as a transfer function (continuous and/or
discrete) with a set of inputs and a set of outputs, as
presented in Fig. 1. The inputs refer to the control signals
that are applied to the process actuators, and the outputs
refer to the variables that are acquired through the process
network of sensors and detectors.
978-1-4244-2728-4/09/$25.00 ©2009 IEEE
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