Distributed model predictive control for networked plant-wide systems with neighborhood cooperation

For large-scale networked plant-wide systems composed by physically ( or geographically ) divided subsystems, only limited information is available for local controllers on account of region and communication restrictions. Concerning the optimal control problem of such subsystems, a neighbor-based distributed model predictive control ( NDMPC ) strategy is presented to improve the global system performance. In this scheme, the performance index of local subsystems and that of its neighbors are minimized together in the determination of the optimal control input, which makes the local control decision also beneficial to its neighboring subsystems and further contributes to improving the convergence and control performance of overall system. The stability of the closed-loop system is proved. Moreover, the parameter designing method for distributed synthesis is provided. Finally, the simulation results illustrate the main characteristics and effectiveness of the proposed control scheme.

[1]  Shaoyuan Li,et al.  Distributed model predictive control over network information exchange for large-scale systems , 2011 .

[2]  Kok Kiong Tan,et al.  Decentralized control design for large-scale systems with strong interconnections using neural networks , 2003, IEEE Trans. Autom. Control..

[3]  M. Lazar,et al.  On decentralized stabilization of discrete-time nonlinear systems , 2009, 2009 American Control Conference.

[4]  Marcello Farina,et al.  Distributed predictive control: A non-cooperative algorithm with neighbor-to-neighbor communication for linear systems , 2012, Autom..

[5]  Alberto Bemporad,et al.  Decentralized model predictive control of dynamically coupled linear systems , 2011 .

[6]  Jingyuan Zhan,et al.  Flocking of Multi-Agent Systems Via Model Predictive Control Based on Position-Only Measurements , 2013, IEEE Transactions on Industrial Informatics.

[7]  Yan Zhang,et al.  Nash-optimization enhanced distributed model predictive control applied to the Shell benchmark problem , 2005, Inf. Sci..

[8]  H. Michalska,et al.  Receding horizon control of nonlinear systems , 1988, Proceedings of the 28th IEEE Conference on Decision and Control,.

[9]  Zhihong Man,et al.  Robust Finite-Time Consensus Tracking Algorithm for Multirobot Systems , 2009, IEEE/ASME Transactions on Mechatronics.

[10]  Manfred Morari,et al.  Distributed synthesis and stability of cooperative distributed model predictive control for linear systems , 2016, Autom..

[11]  Riccardo Scattolini,et al.  Model Predictive Control Schemes for Consensus in Multi-Agent Systems with Single- and Double-Integrator Dynamics , 2009, IEEE Transactions on Automatic Control.

[12]  William B. Dunbar,et al.  Distributed receding horizon control for multi-vehicle formation stabilization , 2006, Autom..

[13]  David Q. Mayne,et al.  Robust model predictive control of constrained linear systems with bounded disturbances , 2005, Autom..

[14]  Yi Zheng,et al.  Networked Coordination-Based Distributed Model Predictive Control for Large-Scale System , 2013, IEEE Transactions on Control Systems Technology.

[15]  Alberto Bemporad,et al.  Hierarchical and decentralised model predictive control of drinking water networks: Application to Barcelona case study , 2012 .

[16]  Petru-Daniel Morosan,et al.  Building temperature regulation using a distributed model predictive control , 2010 .

[17]  Rafael Fierro,et al.  A dual-mode model predictive controller for robot formations , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

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

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

[20]  Bruce H. Krogh,et al.  Distributed model predictive control , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[21]  Zhiyong Geng,et al.  Modelling and analysis of distributed networked control systems , 2012 .

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

[23]  Yi Zheng,et al.  Impacted-Region Optimization for Distributed Model Predictive Control Systems With Constraints , 2015, IEEE Transactions on Automation Science and Engineering.

[24]  William B. Dunbar,et al.  Distributed Receding Horizon Control of Dynamically Coupled Nonlinear Systems , 2007, IEEE Transactions on Automatic Control.

[25]  Manfred Morari,et al.  Distributed synthesis and control of constrained linear systems , 2012, 2012 American Control Conference (ACC).

[26]  Daniel E. Quevedo,et al.  Performance of Multistep Finite Control Set Model Predictive Control for Power Electronics , 2014, IEEE Transactions on Power Electronics.

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