TY - JOUR
T1 - Relaxing signal delay constraints in distributed embedded controllers
AU - Goswami, Dip
AU - Schneider, Reinhard
AU - Chakraborty, Samarjit
N1 - Publisher Copyright:
© 2012 IEEE.
PY - 2014/11
Y1 - 2014/11
N2 - Embedded systems often involve transmitting feedback signals between multiple control tasks that are implemented on different electronic control units communicating via a shared bus. For ensuring stability and control performance, such designs require all control signals to be delivered within a specified deadline, which is ensured through appropriate timing or schedulability analysis. In this brief, we study controller design that allows control feedback signals to occasionally miss their deadlines. In particular, we provide analytical bounds on deadline misses such that the control loop retains its stability and meets its control performance requirements. We argue that such relaxation allows us to 1) use lower quality communication resources (e.g., event-triggered instead of time-triggered communication) and 2) provide more flexibility-e.g., use simulation-in communication timing analysis since analytical worst-case delay bounds for real-life communication protocols are often pessimistic. We illustrate this approach using the FlexRay communication protocol for distributed automotive control systems.
AB - Embedded systems often involve transmitting feedback signals between multiple control tasks that are implemented on different electronic control units communicating via a shared bus. For ensuring stability and control performance, such designs require all control signals to be delivered within a specified deadline, which is ensured through appropriate timing or schedulability analysis. In this brief, we study controller design that allows control feedback signals to occasionally miss their deadlines. In particular, we provide analytical bounds on deadline misses such that the control loop retains its stability and meets its control performance requirements. We argue that such relaxation allows us to 1) use lower quality communication resources (e.g., event-triggered instead of time-triggered communication) and 2) provide more flexibility-e.g., use simulation-in communication timing analysis since analytical worst-case delay bounds for real-life communication protocols are often pessimistic. We illustrate this approach using the FlexRay communication protocol for distributed automotive control systems.
KW - Distributed embedded controllers
KW - FlexRay
KW - flexible delay constraints
KW - timing analysis.
UR - http://www.scopus.com/inward/record.url?scp=84908232133&partnerID=8YFLogxK
U2 - 10.1109/TCST.2014.2301795
DO - 10.1109/TCST.2014.2301795
M3 - Article
AN - SCOPUS:84908232133
SN - 1063-6536
VL - 22
SP - 2337
EP - 2345
JO - IEEE Transactions on Control Systems Technology
JF - IEEE Transactions on Control Systems Technology
IS - 6
M1 - 6733298
ER -