Distributed model predictive control for complex interconnection systems
- Publication Type:
- Conference Proceeding
- Citation:
- 2010 IEEE-RIVF International Conference on Computing and Communication Technologies: Research, Innovation and Vision for the Future, RIVF 2010, 2010
- Issue Date:
- 2010-12-01
Closed Access
Filename | Description | Size | |||
---|---|---|---|---|---|
2009008709OK.pdf | 233.16 kB |
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
This paper presents a new communication-based distributed model predictive control (DMPC) scheme for spatially coupled systems based on linear matrix inequalities (LMI). The large-scale system in discussion is formed by several interconnected subsystems with mixed structures connected in parallel, serial and cycle configurations. Each subsystem is regulated by a dedicated model predictive controller (MPC). These local controllers communicate with their interconnected partners to update the coupling information for their online optimisation problems. An interconnection stability condition based on the dissipative systems theory is derived, taking the coupling effects into consideration. The stability condition is then converted into dynamic stability constraints for individual MPCs in a distributed manner. Upon their satisfaction, the closed-loop large-scale system with these distributed MPCs is stabilised accordingly. The main results are illustrated in simulation for a three-unit system. ©2010 IEEE.
Please use this identifier to cite or link to this item: