Wireless Network Reconfiguration for Control Systems
Explore the work-in-progress on wireless network reconfiguration for control systems, addressing issues such as delay, message loss, and network-induced errors to enhance remote controller performance and reduce errors. The research focuses on optimizing network configuration to balance delivery ratio and delay, offering a framework for network reconfiguration and real-time scheduling in wireless control systems. Motivations include addressing power demands in Multiple Small Modular Reactors (SMRs) and testing network-induced errors under varying power change scenarios.
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Presentation Transcript
Work-in-Progress: Wireless Network Reconfiguration for Control Systems Wenchen Wang, Daniel Mosse, Daniel Cole, Jason G Pickel Wenchen Wang wew50@pitt.edu
Wireless Control System (WCS) Actuator Plant Sensors Delay and Message Loss measurements control signal Remote Controller Performance Degradation Delay and message losses can induce additional error, network-induced error Wired control system output output Network-induced error Wireless control system output time Wenchen Wang wew50@pitt.edu
Problem Statement Trade-off between delivery ratio and delay Higher delivery ratio more redundant nodes more delay Optimal network configuration Time-correlated link failures [Baccour TOSN 12] Network reconfiguration Objective: network-induced error reduction Solution: network reconfiguration framework Wenchen Wang wew50@pitt.edu
Network Reconfiguration Framework Input Network configuration set Offline Optimal network configuration table indexed by LSR values. Online LSR estimation at run time Centralized network reconfiguration algorithm Wenchen Wang wew50@pitt.edu
Thanks! Wenchen Wang wew50@pitt.edu
Work-in-Progress: Cross-layer Real- Time Scheduling for Wireless Control System Wenchen Wang, Daniel Mosse, Jason G Pickel, Daniel Cole Wenchen Wang wew50@pitt.edu
Motivation: NPP demands Multiple Small Modular Reactors (SMRs) in an NPP Different SMRs typically have different power demands Power demands change dynamically, given load consumed Wenchen Wang wew50@pitt.edu
Motivation: observations Test the network-induced error on one PHX Different reference functions with one ramp power change amount (PCA) power change duration (PCD) Different delivery ratio and delay Ramp30 PCA: 10 MW PCD: 30s Wenchen Wang wew50@pitt.edu
Motivation: observations Network-induced error 1 Power output RMSE 0.8 delay=0.1s 0.6 delay=0.2s 0.4 delay=0.3s RMSEs are similar delay=0.4s 0.2 delay=0.5s 0 15 30 45 60 75 90 105 120 PCD (s) PCA: 10 MW; DR: 0.9 For reference functions with higher ramp ratios, the network delay becomes a more significant factor. Wenchen Wang wew50@pitt.edu
Our Solution Objective Reduce total network-induced error for multiple control systems Cross-layer real-time scheduling Inject the application demands into the network layer to change measurement deadlines dynamically Assign smaller deadlines for more urgent application demands Offline control system analysis Wenchen Wang wew50@pitt.edu
Thanks! Wenchen Wang wew50@pitt.edu
Backup slides Wenchen Wang wew50@pitt.edu
Motivation: NPP demands Multiple Small Modular Reactors (SMRs) in an NPP Do you need this slide? Or the next one is sufficient? Wenchen Wang wew50@pitt.edu
Motivation: Observations For reference functions with shorter PCDs, the network delay becomes a more significant factor. 1 Power output RMSE 0.8 delay=0.1s 0.6 delay=0.2s RMSEs are similar 0.4 delay=0.3s 0.2 delay=0.4s 0 delay=0.5s 15 30 45 60 75 90 105 120 PCD (s) PCA: 10 MW; DR: 0.9 For reference functions with higher PCAs, the network delay becomes more significant factor. 0.7 Power output RMSE 0.6 0.5 delay=0.1s 0.4 delay=0.2s RMSEs are similar 0.3 delay=0.3s 0.2 0.1 delay=0.4s 0 delay=0.5s 10 8 6 4 2 PCA (MW) PCD: 30s; DR: 0.9 Wenchen Wang wew50@pitt.edu
Motivation: observations 1 Delay has more significant effect on the control system performance Power output RMSE 0.8 delay=0.1s 0.6 delay=0.2s 0.4 delay=0.3s 0.2 delay=0.4s 0 delay=0.5s 0.9 0.8 0.7 0.6 0.5 Delivery ratio PCD: 30s; PCA: 10MW Set a deadline according to the application demands Small deadline for reference functions with less PCD or more aggressive PCA Cross-layer dynamic schedule the network flows Wenchen Wang wew50@pitt.edu
Problem Statement Network flow A set of end-to-end network flows associates with one source , a destination , a period , and a deadline, Control systems application demands Control systems have different reference functions with multiple ramps PHX1 PHX2 Required Power time ?5 ?0 ?2 ?3?4 ?1 Objective: reduce total network-induced errors for multiple control systems: Wenchen Wang wew50@pitt.edu
