Distributed Model Predictive Control System Design Using Lyapunov Techniques

2009 ◽  
pp. 181-194
Author(s):  
Jinfeng Liu ◽  
David Muñoz de la Peña ◽  
Panagiotis D. Christofides
Keyword(s):  
Control System ◽  
Model Predictive Control ◽  
System Design ◽  
Predictive Control ◽  
Distributed Model ◽  
Control System Design ◽  
Distributed Model Predictive Control ◽  
Lyapunov Techniques

scholarly journals Model predictive control system design and implementation for spacecraft rendezvous

2012 ◽  
Vol 20 (7) ◽  
pp. 695-713 ◽  
Author(s):  
Edward N. Hartley ◽  
Paul A. Trodden ◽  
Arthur G. Richards ◽  
Jan M. Maciejowski
Keyword(s):  
Control System ◽  
Model Predictive Control ◽  
System Design ◽  
Predictive Control ◽  
Control System Design ◽  
Design And Implementation

scholarly journals Distributed Model Predictive Control of Steam/Water Loop in Large Scale Ships

Processes ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 442 ◽  
Author(s):  
Shiquan Zhao ◽  
Anca Maxim ◽  
Sheng Liu ◽  
Robin De Keyser ◽  
Clara Ionescu
Keyword(s):  
Control System ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Power Plants ◽  
Large Scale ◽  
Distributed Model ◽  
Distributed Model Predictive Control ◽  
Steam Power Plants ◽  
Great Reliability ◽  
The Stability

In modern steam power plants, the ever-increasing complexity requires great reliability and flexibility of the control system. Hence, in this paper, the feasibility of a distributed model predictive control (DiMPC) strategy with an extended prediction self-adaptive control (EPSAC) framework is studied, in which the multiple controllers allow each sub-loop to have its own requirement flexibility. Meanwhile, the model predictive control can guarantee a good performance for the system with constraints. The performance is compared against a decentralized model predictive control (DeMPC) and a centralized model predictive control (CMPC). In order to improve the computing speed, a multiple objective model predictive control (MOMPC) is proposed. For the stability of the control system, the convergence of the DiMPC is discussed. Simulation tests are performed on the five different sub-loops of steam/water loop. The results indicate that the DiMPC may achieve similar performance as CMPC while outperforming the DeMPC method.

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