Cross-Layer Adaptive Feedback Scheduling of Wireless Control Systems

TL;DR

This paper presents a cross-layer adaptive feedback scheduling scheme for wireless control systems that dynamically adjusts sampling based on channel conditions, improving control performance amid wireless uncertainties.

Contribution

It introduces CLAFS, a novel cross-layer feedback scheduling method that co-designs control and wireless communication to handle channel variability.

Findings

Effective in managing channel capacity variations

Improves control performance under noise interference

Enhances wireless control system reliability

Abstract

There is a trend towards using wireless technologies in networked control systems. However, the adverse properties of the radio channels make it difficult to design and implement control systems in wireless environments. To attack the uncertainty in available communication resources in wireless control systems closed over WLAN, a cross-layer adaptive feedback scheduling (CLAFS) scheme is developed, which takes advantage of the co-design of control and wireless communications. By exploiting cross-layer design, CLAFS adjusts the sampling periods of control systems at the application layer based on information about deadline miss ratio and transmission rate from the physical layer. Within the framework of feedback scheduling, the control performance is maximized through controlling the deadline miss ratio. Key design parameters of the feedback scheduler are adapted to dynamic changes in the channel condition. An event-driven invocation mechanism for the feedback scheduler is also developed. Simulation results show that the proposed approach is efficient in dealing with channel capacity variations and noise interference, thus providing an enabling technology for control over WLAN.