Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 31750 Tronoh, Perak, Malaysia.
ISA Trans. 2010 Jul;49(3):335-47. doi: 10.1016/j.isatra.2010.02.005. Epub 2010 Mar 20.
This paper discusses the empirical modeling using system identification technique with a focus on an interacting series process. The study is carried out experimentally using a gaseous pilot plant as the process, in which the dynamic of such a plant exhibits the typical dynamic of an interacting series process. Three practical approaches are investigated and their performances are evaluated. The models developed are also examined in real-time implementation of a linear model predictive control. The selected model is able to reproduce the main dynamic characteristics of the plant in open-loop and produces zero steady-state errors in closed-loop control system. Several issues concerning the identification process and the construction of a MIMO state space model for a series interacting process are deliberated.
本文讨论了使用系统辨识技术进行经验建模的问题，重点是交互串联过程。该研究通过使用气态中试工厂作为过程进行实验，其中该工厂的动态特性表现出交互串联过程的典型动态特性。研究了三种实用方法，并评估了它们的性能。所开发的模型还在线性模型预测控制的实时实现中进行了检查。选择的模型能够在开环中再现工厂的主要动态特性，并在闭环控制系统中产生零稳态误差。讨论了与串联交互过程的 MIMO 状态空间模型的识别过程和构建有关的几个问题。
