Internal model pre-processing tool

Radim Hýl, R. Wagnerová
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引用次数: 0

Abstract

In industry the model predictive control (MPC) solutions are for their high computational requirements usually implemented to the PC-based devices. The main goal of our study is to implement an MPC algorithm to the programmable logic controller (PLC). This paper describes an initialization part of our solution, which represents an internal model pre-processing algorithm implemented to the function blocks created in PLC programming standard IEC 61131-3. The pre-processing algorithm changes model representation form of multivariable system (MIMO) from continuous transfer function matrix to generalized discrete state-space model. At the end of the paper there is shown created comfortable interface used for inserting of transfer functions, process model parameterization and future MPC tuning. This interface communicating with pre-processing algorithm running on PLC allows to specify MIMO internal model by continuous transfer function matrix and the discrete state-space internal model used during control is created automatically. The operator does not have to use MATLAB or other expansive mathematical software for creation of discrete state-space representation and the most widespread mathematical description in industry known like continuous transfer function can be used. The constants of transfer functions are usually obtained by operator from current visualizations on the plant.
内部模型预处理工具
在工业中,模型预测控制(MPC)解决方案由于其高计算要求,通常实现在基于pc的设备上。我们研究的主要目标是在可编程逻辑控制器(PLC)上实现MPC算法。本文描述了我们的解决方案的一个初始化部分,它代表了一个内部模型预处理算法,实现在PLC编程标准IEC 61131-3中创建的功能块。该预处理算法将多变量系统(MIMO)的模型表示形式从连续传递函数矩阵转变为广义离散状态空间模型。最后给出了创建的舒适界面,用于传递函数的插入、过程模型参数化和未来MPC调优。该接口与PLC上运行的预处理算法通信,通过连续传递函数矩阵指定MIMO内部模型,自动生成控制过程中使用的离散状态空间内部模型。操作员不必使用MATLAB或其他扩展的数学软件来创建离散状态空间表示,并且可以使用业界已知的最广泛的数学描述,如连续传递函数。传递函数的常数通常由操作员从装置上的当前可视化图中获得。
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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