Optimal dynamic scheduling of wireless networked control systems

Yehan Ma, Jianlin Guo, Yebin Wang, A. Chakrabarty, Heejin Ahn, P. Orlik, Chenyang Lu
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引用次数: 22

Abstract

Wireless networked control system is gaining momentum in industrial cyber-physical systems, e.g., smart factory. Suffering from limited bandwidth and nondeterministic link quality, a critical challenge in its deployment is how to optimize the closed-loop control system performance as well as maintain stability. In order to bridge the gap between network design and control system performance, we propose an optimal dynamic scheduling strategy that optimizes performance of multi-loop control systems by allocating network resources based on predictions of both link quality and control performance at run-time. The optimal dynamic scheduling strategy boils down to solving a nonlinear integer programming problem, which is further relaxed to a linear programming problem. The proposed strategy provably renders the closed-loop system mean-square stable under mild assumptions. Its efficacy is demonstrated by simulating a four-loop control system over an IEEE 802.15.4 wireless network simulator - TOSSIM. Simulation results show that the optimal dynamic scheduling can enhance control system performance and adapt to both constant and variable network background noises as well as physical disturbance.
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无线网络控制系统在智能工厂等工业信息物理系统中发展势头迅猛。由于带宽有限和链路质量不确定,如何优化闭环控制系统性能并保持稳定性是其部署的关键挑战。为了弥补网络设计和控制系统性能之间的差距,我们提出了一种最优动态调度策略,该策略通过在运行时对链路质量和控制性能的预测来分配网络资源,从而优化多环控制系统的性能。最优动态调度策略可归结为求解一个非线性整数规划问题,并可进一步简化为线性规划问题。所提出的策略在温和假设下证明了闭环系统均方稳定。通过在IEEE 802.15.4无线网络模拟器- TOSSIM上模拟四环控制系统,验证了其有效性。仿真结果表明,最优动态调度能提高控制系统的性能,并能适应恒定和可变网络背景噪声以及物理干扰。
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