Distributed model predictive control algorithm based on event-trigger

In order to reduce the heavy communication burden of cooperative distributed model predictive control (DMPC), A DMPC algorithm based on event-trigger is proposed to balancing the control performance and communication burden through optimizing the interconnection structure of subsystems. An event-trigger using the system Lyapunov function is constructed to avoid solving the introduced MINLP optimization directly, the optimal interconnection structure will be updated only when the event-trigger is triggered. The feasibility of the proposed algorithm in system performance and communication burden decrease is validated by the load frequency control (LFC) problem simulation of interconnected power system.

[1]  Ali Elkamel,et al.  Selection of control structure for distributed model predictive control in the presence of model errors , 2010 .

[2]  Panagiotis D. Christofides,et al.  Sequential and Iterative Architectures for Distributed Model Predictive Control of Nonlinear Process Systems , 2010 .

[3]  Eduardo Camponogara,et al.  Distributed model predictive control , 2002 .

[4]  Panagiotis D. Christofides,et al.  Distributed model predictive control: A tutorial review and future research directions , 2013, Comput. Chem. Eng..

[5]  J. M. Maestre,et al.  Distributed Model Predictive Control: An Overview and Roadmap of Future Research Opportunities , 2014, IEEE Control Systems.

[6]  Stephen J. Wright,et al.  Distributed MPC Strategies With Application to Power System Automatic Generation Control , 2008, IEEE Transactions on Control Systems Technology.

[7]  Hassan Bevrani,et al.  Robust Power System Frequency Control , 2009 .

[8]  James B. Rawlings,et al.  Coordinating multiple optimization-based controllers: New opportunities and challenges , 2008 .

[9]  Shaoyuan Li,et al.  Networked model predictive control based on neighbourhood optimization for serially connected large-scale processes , 2007 .

[10]  Tarek Hassan Mohamed,et al.  Decentralized model predictive based load frequency control in an interconnected power system , 2011 .

[11]  S. Joe Qin,et al.  A survey of industrial model predictive control technology , 2003 .

[12]  Stephen J. Wright,et al.  Stability and optimality of distributed model predictive control , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[13]  Daniel W. C. Ho,et al.  Event-trigged control for discrete-time multi-agent networks , 2013, 2013 9th Asian Control Conference (ASCC).