Distributed Model Predictive Control of Switched Nonlinear Systems with Scheduled Mode Transitions

被引：8

作者：

Heidarinejad, Mohsen ^{[1
]}

Liu, Jinfeng ^{[2
]}

Christofides, Panagiotis D. ^{[1
,3
]}

机构：

[1] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90095 USA

[2] Univ Alberta, Dept Chem & Mat Engn, Edmonton, AB T6G 2V4, Canada

[3] Univ Calif Los Angeles, Dept Chem & Biomol Engn, Los Angeles, CA 90095 USA

来源：

AICHE JOURNAL | 2013年 / 59卷 / 03期

关键词：

process control; optimization; model predictive control; distributed control; chemical processes; STABILITY;

D O I：

10.1002/aic.14003

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

A method for the design of distributed model predictive control (DMPC) systems for a class of switched nonlinear systems for which the mode transitions take place according to a prescribed switching schedule is presented. Under appropriate stabilizability assumptions on the existence of a set of feedback controllers that can stabilize the closed-loop switched, nonlinear system, a cooperative DMPC architecture using Lyapunov-based model predictive control (MPC) in which the distributed controllers carry out their calculations in parallel and communicate in an iterative fashion to compute their control actions is designed. The proposed DMPC design is applied to a nonlinear chemical process network with scheduled mode transitions and its performance and computational efficiency properties in comparison to a centralized MPC architecture are evaluated through simulations. (C) 2013 American Institute of Chemical Engineers AIChE J, 59: 860-871, 2013

引用

页码：860 / 871

页数：12

共 27 条

[1]

Bertsekas D. P., 1997, Parallel and Distributed Computation: Numerical Methods

[2] Dynamic programming for constrained optimal control of discrete-time linear hybrid systems [J].

Borrelli, F ;

Baotic, M ;

Bemporad, A ;

Morari, M .

AUTOMATICA, 2005, 41 (10) :1709-1721

[3] Multiple Lyapunov functions and other analysis tools for switched and hybrid systems [J].

Branicky, MS .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1998, 43 (04) :475-482

[4] Distributed model predictive control [J].

Camponogara, Eduardo ;

Jia, Dong ;

Krogh, Bruce H. ;

Talukdar, Sarosh .

IEEE Control Systems Magazine, 2002, 22 (01) :44-52

[5]

Cassandras CG, 2003, 42ND IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-6, PROCEEDINGS, P2162

[6] Detection, isolation and handling of actuator faults in distributed model predictive control systems [J].

Chilin, David ;

Liu, Jinfeng ;

Munoz de la Pena, David ;

Christofides, Panagiotis D. ;

Davis, James F. .

JOURNAL OF PROCESS CONTROL, 2010, 20 (09) :1059-1075

[7]

Christofides P., 2005, CONTROL NONLINEAR HY

[8]

Christofides P.D., 2011, Advances in Industrial Control Series

[9] Distributed model predictive control: A tutorial review and future research directions [J].

Christofides, Panagiotis D. ;

Scattolini, Riccardo ;

Munoz de la Pena, David ;

Liu, Jinfeng .

COMPUTERS & CHEMICAL ENGINEERING, 2013, 51 :21-41

[10] Stability analysis and control synthesis for switched systems: A switched Lyapunov function approach [J].

Daafouz, J ;

Riedinger, P ;

Iung, C .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2002, 47 (11) :1883-1887

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