Abstract
The transmission scheduling scheme of wireless networks for industrial control systems is a crucial design component since it directly affects the stability of networked control systems. In this paper, we propose a novel transmission scheduling framework to guarantee the stability of heterogeneous multiple control systems over unreliable wireless channels. Based on the explicit control stability conditions, a constrained optimization problem is proposed to maximize the minimum slack of the stability constraint for the heterogeneous control systems. We propose three transmission scheduling schemes, namely centralized stationary random access, distributed random access, and Lyapunov-based scheduling scheme, to solve the constrained optimization problem with a low computation cost. The three proposed transmission scheduling schemes were evaluated on heterogeneous multiple control systems with different link conditions. One interesting finding is that the proposed centralized Lyapunov-based approach provides almost ideal performance in the context of control stability. Furthermore, the distributed random access is still useful for the small number of links since it also reduces the operational overhead without significantly sacrificing the control performance.
Highlights
Industrial internet of things (IIoT) through wireless sensors and actuators have tremendous potential to improve the efficiency of various industrial control systems in both process automation and factory automation [1,2,3,4,5]
The Lyapunov-based approach efficiently improves the robust performance based on the feedback slack information between transmission interval (TI) and maximum allowable transmission interval (MATI) of heterogeneous multiple control systems
We first discuss the fundamental tradeoffs of the TI and the packet delay of wireless networks for the control stability
Summary
Industrial internet of things (IIoT) through wireless sensors and actuators have tremendous potential to improve the efficiency of various industrial control systems in both process automation and factory automation [1,2,3,4,5]. The transmission scheduling policies of sensors and controllers must efficiently optimize the traffic generation instance and transmit slot allocation since it directly affects the network delay and loss, and eventually leading to the stability issue of control systems. The main contribution of the paper is to propose three transmission scheduling policies, namely centralized stationary random access, distributed random access, and Lyapunov-based scheduling scheme, of wireless networks to guarantee the stability of heterogeneous multiple control systems over different lossy links. We show the performance of the proposed scheduling schemes in terms of the stability region of heterogeneous multiple control systems over different link conditions.
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