Nonlinear Model-Predictive Control Using First-Principles Models

被引：0
|
作者：
Rhinehart, R. Russell [1 ]
机构：
[1] Oklahoma State Univ, Stillwater, OK 74074 USA
来源：
SMART SENSORS MEASUREMENT AND INSTRUMENTATION, CISCON 2021 | 2023年 / 957卷
关键词：
Process control; Nonlinear; Horizon predictive;
D O I：
10.1007/978-981-19-6913-3_6
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The common attribute in horizon-predictive control is the use of a dynamic model of the process and optimization to plan a sequence of future control actions to best make the model match a desired future path, while avoiding constraints. This paper describes a structure to use first-principles process models in horizonpredictive control, which contrasts the conventional use of linear empirical models derived from step-testing the process.
引用
收藏
页码：93 / 114
页数：22
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