期刊
PROCESSES
卷 6, 期 12, 页码 -出版社
MDPI
DOI: 10.3390/pr6120265
关键词
model predictive control; control horizon; steam power plant; steam/water loop; multi-input and multi-output system; loop design
资金
- Chinese Scholarship Council (CSC) [201706680021]
- Ghent University [01SC1918]
This paper presents an extensive analysis of the properties of different control horizon sets in an Extended Prediction Self-Adaptive Control (EPSAC) model predictive control framework. Analysis is performed on the linear multivariable model of the steam/water loop in large-scale watercraft/ships. The results indicate that larger control horizon values lead to better loop performance, at the cost of computational complexity. Hence, it is necessary to find a good trade-off between the performance of the system and allocated or available computational complexity. In this original work, this problem is explicitly treated as an optimization task, leading to the optimal control horizon sets for the steam/water loop example. Based on simulation results, it is concluded that specific tuning of control horizons outperforms the case when only a single valued control horizon is used for all the loops.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据