MPC based Power Allocation for Reliable Wireless Networked Control Systems

MPC based Power Allocation for Reliable Wireless Networked Control Systems
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基于 MPC 的可靠无线网络控制系统的功率分配

DOI:
10.1109/access.2021.3062831
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发表时间:
2021
期刊:
影响因子:
3.9
通讯作者:
Ishii Koji
Ishii Koji
中科院分区:
计算机科学3区
文献类型:
--
作者:
小笠原駿;髙橋俊暉;芳賀和輝;三橋龍一;小島洋一郎;真田博文;Junjie Zhu;Pengcheng Hou;Yafei Hou;Satoshi Denno;Minoru Okada;T. Fukusako and R. Kuse;Ishii Koji

文献摘要

相似文献

本文考虑了一种无线网络控制系统(WNCS),其中控制器和受控对象(工厂)通过不可靠的无线网络连接。控制系统的设计应考虑给定网络的可靠性,而网络的可靠性可以通过改变传输功率来控制。因此,本文为重点WNCS提供了一种传输功率和控制输入的联合优化,这是一种通信层和控制层的跨层设计。这项工作假设前馈(从控制器到设备)和反馈(从设备到控制器)通道的总传输功率是有限的,并且可以自适应地分配给每个无线通道。如果将更多的传输功率分配给前馈信道,则可以更可靠地传输控制输入,而在反馈信道上传输控制状态则不太可靠。此外,适当的功率分配取决于控制状态和先前的通信结果。考虑到上述事实,本文提出了一种基于模型预测控制(MPC)的联合优化,并表明该系统可以提供适当的功率分配和控制输入,从而提高控制质量。
This paper considers a wireless networked control system (WNCS) where the controller and controlled object (plant) are connected via an unreliable wireless network. The control system should be designed considering the reliability of the given network while its network reliability is controllable by changing transmission power. Thus, this paper provides a joint optimization of transmission power and control-input for the focused WNCS, which is a kind of cross-layer design of communication and control layers. This work assumes that the total transmission power for the feedforward (from the controller to plant) and feedback (from the plant to controller) channels is limited and can be adaptively allocated to each wireless channel. If more transmission power is allocated to the feedforward channel, the control-input can be more reliably transmitted, while the control-state is less reliably transmitted over the feedback channel. Furthermore, the appropriate power allocation depends on the control-state and the previous communication results. Considering the above facts, this paper proposes a model-predictive control (MPC) based joint optimization and shows that the proposed system can provide appropriate power allocation and control-input and thus can enhance the quality of control.