1. Distributed MPC for Reconfigurable Architecture Systems via Alternating Direction Method of Multipliers
- Author
-
Shaoyuan Li, Yuanyuan Zou, and Ting Bai
- Subjects
0209 industrial biotechnology ,Optimization problem ,Computer science ,Linear system ,Control reconfiguration ,02 engineering and technology ,Optimal control ,Network topology ,01 natural sciences ,010101 applied mathematics ,020901 industrial engineering & automation ,Artificial Intelligence ,Control and Systems Engineering ,Control theory ,Control system ,Benchmark (computing) ,Systems architecture ,0101 mathematics ,Information Systems - Abstract
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.
- Published
- 2021