TY - GEN
T1 - Realistic case studies of wireless structural control
AU - Li, Bo
AU - Sun, Zhuoxiong
AU - Mechitov, Kirill
AU - Hackmann, Gregory
AU - Lu, Chenyang
AU - Dyke, Shirley J.
AU - Agha, Gul
AU - Spencer, Billie F.
PY - 2013
Y1 - 2013
N2 - Wireless Structural Control (WSC) systems can play a crucial role in protecting civil infrastructure in the event of earthquakes and other natural disasters. Such systems represent an exemplary class of cyber-physical systems that perform close-loop control using wireless sensor networks. Existing WSC research usually employs wireless sensors installed on small lab structures, which cannot capture realistic delays and data loss in wireless sensor networks deployed on large civil structures. The lack of realistic tools that capture both the cyber (wireless) and physical (structural) aspects of WSC systems has been a hurdle for cyber-physical systems research for civil infrastructure. This advances the state of the art through the following contributions. First, we developed the Wireless Cyber-Physical Simulator (WCPS), an integrated environment that combines realistic simulations of both wireless sensor networks and structures. WCPS integrates Simulink and TOSSIM, a state-of-the-art sensor network simulator featuring a realistic wireless model seeded by signal traces. Second, we performed two realistic case studies each combining a structural model with wireless traces collected from real-world environments. The building study combines a benchmark building model and wireless traces collected from a multi-story building. The bridge study combines the structural model of the Cape Girardeau bridge over the Mississippi River and wireless traces collected from a similar bridge (the Jindo Bridge) in South Korea. These case studies shed light on the challenges of WSC and the limitations of a traditional structural control approach under realistic wireless conditions. Finally, we proposed a cyber-physical co-design approach to WSC that integrates a novel holistic scheduling scheme (for sensing, communication and control) and an Optimal Time Delay Controller (OTDC) that substantially improves structural control performance.
AB - Wireless Structural Control (WSC) systems can play a crucial role in protecting civil infrastructure in the event of earthquakes and other natural disasters. Such systems represent an exemplary class of cyber-physical systems that perform close-loop control using wireless sensor networks. Existing WSC research usually employs wireless sensors installed on small lab structures, which cannot capture realistic delays and data loss in wireless sensor networks deployed on large civil structures. The lack of realistic tools that capture both the cyber (wireless) and physical (structural) aspects of WSC systems has been a hurdle for cyber-physical systems research for civil infrastructure. This advances the state of the art through the following contributions. First, we developed the Wireless Cyber-Physical Simulator (WCPS), an integrated environment that combines realistic simulations of both wireless sensor networks and structures. WCPS integrates Simulink and TOSSIM, a state-of-the-art sensor network simulator featuring a realistic wireless model seeded by signal traces. Second, we performed two realistic case studies each combining a structural model with wireless traces collected from real-world environments. The building study combines a benchmark building model and wireless traces collected from a multi-story building. The bridge study combines the structural model of the Cape Girardeau bridge over the Mississippi River and wireless traces collected from a similar bridge (the Jindo Bridge) in South Korea. These case studies shed light on the challenges of WSC and the limitations of a traditional structural control approach under realistic wireless conditions. Finally, we proposed a cyber-physical co-design approach to WSC that integrates a novel holistic scheduling scheme (for sensing, communication and control) and an Optimal Time Delay Controller (OTDC) that substantially improves structural control performance.
KW - Cyber-physical system
KW - Wireless cyber-physical simulator
KW - Wireless sensor network
KW - Wireless structural control
UR - http://www.scopus.com/inward/record.url?scp=84883059502&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883059502&partnerID=8YFLogxK
U2 - 10.1145/2502524.2502549
DO - 10.1145/2502524.2502549
M3 - Conference contribution
AN - SCOPUS:84883059502
SN - 9781450319966
T3 - Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems, ICCPS 2013
SP - 179
EP - 188
BT - Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems, ICCPS 2013
T2 - 4th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2013
Y2 - 8 April 2013 through 11 April 2013
ER -