Journal
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
Volume 8, Issue 7, Pages 1336-1344Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JAS.2020.1003195
Keywords
Alternating direction method of multipliers (ADMM) algorithm; distributed control; model predictive control (MPC); reconfigurable architecture systems
Categories
Funding
- National Natural Science Foundation of China [61833012, 61773162, 61590924]
- Natural Science Foundation of Shanghai [18ZR1420000]
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This paper proposes a novel distributed model predictive control scheme based on ADMM to address the control problem of linear systems with changeable network topology. The scheme enables quick response when modifying network topology while maintaining satisfactory dynamic performance.
This paper investigates the distributed model predictive control (MPC) problem of linear systems where the network topology is changeable by the way of inserting new subsystems, disconnecting existing subsystems, or merely modifying the couplings between different subsystems. To equip live systems with a quick response ability when modifying network topology, while keeping a satisfactory dynamic performance, a novel reconfiguration control scheme based on the alternating direction method of multipliers (ADMM) is presented. In this scheme, the local controllers directly influenced by the structure realignment are redesigned in the reconfiguration control. Meanwhile, by employing the powerful ADMM algorithm, the iterative formulas for solving the reconfigured optimization problem are obtained, which significantly accelerate the computation speed and ensure a timely output of the reconfigured optimal control response. Ultimately, the presented reconfiguration scheme is applied to the level control of a benchmark four-tank plant to illustrate its effectiveness and main characteristics.
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