Efficient Holistic Control over Industrial Wireless Sensor-Actuator Networks
Efficient Holistic Control over Industrial Wireless Sensor-Actuator Networks
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DOI：
10.1109/icii.2018.00018
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发表时间：
2018-10
期刊：
影响因子：
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通讯作者：
Yehan Ma;Chenyang Lu
中科院分区：
文献类型：
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作者：
Yehan Ma;Chenyang Lu
在工业互联网时代，过程自动化正在拥抱无线传感器-执行器网络（WSAN）。尽管WSAN在监控应用方面取得了成功，但由于WSAN中的数据丢失和严格的能量约束，反馈控制带来了重大挑战。整体控制采用网络物理系统方法，通过在运行时协调网络重构和过程控制来克服挑战。在本文中，我们探索有效的整体控制设计，以保持控制性能，同时降低通信成本。本文的主要工作包括以下四个方面：（1）提出了一种基于低功耗无线总线（LWB）和速率自适应和自触发控制的整体控制结构，以降低网络的通信开销：（2）设计了一种新的无线网络机制，分别支持多跳WSAN中的速率自适应和自触发控制;（3）构建了一个实时网络在环仿真器，该仿真器集成了MATLAB/Simulink和三层WSAN实验平台，用于评估无线控制系统;（4）实证研究了不同整体控制方法下通信成本和控制性能之间的权衡。我们的案例研究表明，速率自适应和自触发控制提供的控制性能和能源效率的优势，分别在正常的操作条件下。然而，由于从数据丢失和物理干扰中恢复的成本，自触发控制在能量效率方面的优势可能在恶劣的物理和无线条件下减弱。
Process automation is embracing wireless sensor-actuator networks (WSANs) in the era of Industrial Internet. Despite the success of WSANs for monitoring applications, feedback control poses significant challenges due to data loss and stringent energy constraints in WSANs. Holistic control adopts a cyber-physical system approach to overcome the challenges by orchestrating network reconfiguration and process control at run time. In this paper, we explore efficient holistic control designs to maintain control performance while reducing the communication cost. The contributions of this work are four-fold: (1) We introduce a holistic control architecture that integrates low-power wireless bus (LWB) and two control strategies, rate adaptation and self-triggered control, specifically proposed to reduce communication cost; (2) We design novel wireless network mechanisms to support rate adaptation and self-triggered control, respectively, in a multi-hop WSAN; (3) We build a real-time network-in-the-loop simulator that integrates MATLAB/Simulink and a three-floor WSAN testbed to evaluate wireless control systems; (4) We empirically explore the tradeoff between communication cost and control performance under alternative holistic control approaches. Our case studies show that rate adaptation and self-triggered control offer advantages in control performance and energy efficiency, respectively, in normal operating conditions. The advantage in energy efficiency of self-triggered control, however, may diminish under harsh physical and wireless conditions due to the cost of recovering from data loss and physical disturbances.