Model-based predictive control for biomass production in advanced life support

被引：0
|
作者：
Fleisher, DH [1 ]
Baruh, H [1 ]
Ting, KC [1 ]
机构：
[1] Rutgers State Univ, Piscataway, NJ 08855 USA
来源：
INTELLIGENT CONTROL FOR AGRICULTURAL APPLICATIONS 2001 | 2002年
关键词：
control; crop modeling; advanced life support;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A model-based predictive control (MBPC) algorithm for crop production in a biomass production component of an Advanced Life Support System (ALSS) is introduced. The MBPC adjusts light intensity, air temperature, and atmospheric carbon dioxide concentration setpoints so that crop growth (total and yield biomass) follows pre-determined production schedules. Mathematical models developed for wheat, soybean, and white potato using multivariate polynomial regression (MPR) are used as the feed-forward models in the control. The control algorithm is evaluated for its ability to compensate for simulated environmental disturbances and sensitivity to modeling and measurement errors. A 24-hour time increment is utilized. Copyright (C) 2001 IFAC.
引用
收藏
页码：77 / 82
页数：6
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