Open AccessMulti-timescale Distributed Model Predictive Control for Large-Scale Systems and a Case Study
Author(s) -
Xing Zhao,
Wenli Zhang,
Weidong Zhang,
Wenzhao Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1754/1/012236
Subject(s) - computer science , scale (ratio) , coupling (piping) , control (management) , model predictive control , mode (computer interface) , channel (broadcasting) , control theory (sociology) , mathematical optimization , mathematics , engineering , artificial intelligence , mechanical engineering , computer network , physics , quantum mechanics , operating system
To solve the control problem effectively of complicated large scale system with obvious difference in the dynamic response at each channel, a strategy based on multi-timescale and distributed communication mode is presented. These systems can be regarded as combinations of fast system and slow system, the response speeds of which are in two-time scale. The algorithm takes into account the fast and slow characteristics and the coupling relationship of each subsystem, uses the Nash optimal idea and the multi-time standard information prediction method to realize the optimization control of the whole system. A simulation example is given to illustrate the effectiveness.