Quantifying the potential benefits of constrained control for a large-scale system
Quantifying the potential benefits of constrained control for a large-scale system
复制标题
量化大型系统约束控制的潜在好处
DOI：
10.1049/ip-cta:20020557
复制
发表时间：
2002
影响因子：
3.3
通讯作者：
R. Braatz
中科院分区：
文献类型：
--
作者：
D. L. Ma;J. VanAntwerp;M. Hovd;R. Braatz
确定哪些过程将从模型预测控制等约束控制算法的使用中显著受益，哪些不会，这是具有实际意义的。导出标识特定进程是否可以从约束处理中受益的显式条件。这些条件也有助于理解特定系统的设计和控制之间的相互作用，特别是对于执行器的放置和选择。对于大规模系统，这些条件可以直接从其传递函数模型、仿真模型(例如，由一组常微分方程组和代数条件定义)或实验输入输出数据来计算。该公式考虑了测量噪声、过程扰动、模型不确定性、对象方向性和实验数据量的影响。通过对工业数据建立的造纸机模型的应用，说明了这些条件。
It is of practical interest to identify which processes will benefit significantly from the use of constrained control algorithms such as model predictive control, and which will not. Explicit conditions are derived that identify whether a particular process may benefit from constraint handling. These conditions are also useful for understanding the interactions between design and control for a particular system, especially for actuator placement and selection. The conditions are computable for a large-scale system directly from its transfer function model, a simulation model (e.g. defined by a set of ordinary/partial-differential equations and algebraic conditions), or experimental input-output data. The formulation considers the effects of measure- ment noise, process disturbances, model uncertainties, plant directionality and the quantity of experimental data. The conditions are illustrated by application to a paper-machine model constructed from industrial data.