Implementable distributed model predictive control with guaranteed performance properties

被引：10
|
作者：
Venkat, Aswin N. [1 ]
Rawlings, James B. [2 ]
Wright, Stephen J. [3 ]
机构：
[1] Univ Wisconsin, Dept Biol & Chem Engn, Madison, WI 53706 USA
[2] Univ Wisconsin, Fac Chem & Biol Engn, Madison, WI 53706 USA
[3] Univ Wisconsin, Fac Comp Sci, Madison, WI 53706 USA
来源：
2006 AMERICAN CONTROL CONFERENCE, VOLS 1-12 | 2006年 / 1-12卷
关键词：
D O I：
10.1109/ACC.2006.1655424
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article describes an implementable distributed MPC framework with guaranteed nominal stability and performance properties. The proposed distributed MPC framework consists of three main components (i) Distributed estimator (ii) Centralized/Distributed target calculation (iii) Distributed regulator. State estimation for distributed MPC is addressed using the well established Kalman filtering framework. Disturbance models are employed to eliminate steady-state offset due to modeling errors/unmeasured disturbances. Algorithms with well defined properties are advanced for distributed target calculation and distributed regulation. Incorporation of the proposed distributed MPC framework provides a means to achieve optimal systemwide control performance employing subsystem-based MPCs.
引用
收藏
页码：613 / +
页数：2
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