Decentralised Predictive Control of with Energy Dissipation Bounds for Wireless Structural Control Applications

Publisher:
IAARC
Publication Type:
Conference Proceeding
Citation:
Proceedings of the 28th International Symposium on Automation and Robotics in Construction, 2011, pp. 39 - 44
Issue Date:
2011-01
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2010003832OK.pdf7.33 MB
Adobe PDF
Decentralized control architectures for multi-storey buildings using wireless sensors and distributed embedding systems have been attracting more research recently. The designs for this application are however limited by the computational capacity embedded in each subsystem, the communication bandwidth and range of wireless channels, as well as the temporal constraints for real-time seismic protections. This paper presents a novel decentralized predictive control (DPC) strategy which can meet these design constraints. The control design takes into account the guaranteed closed-loop stability for the large-scale structure which is established from the dissipative systems theory. The proposed DPC strategy features two offline control laws to be switched-over online to minimize the computational and communication demands. By emulating the energy dissipation rate with a stabilizing constraint for the DPC optimization, the seismic protection performance of structural networked controls can be improved. The approach is designated with energy-dissipation DPC for structures using semiactive dampers. The approximated polynomial models of magneto-rheological (MR) dampers are adopted for linear systems in decentralized control designs. A numerical example is provided to illustrate the analytical developments.
Please use this identifier to cite or link to this item: