CPS: Synergy: Collaborative Research: Holistic Control and Management of Industrial Wireless Processes

CPS:协同:协作研究:工业无线过程的整体控制和管理

基本信息

项目摘要

Wireless sensor-actuator networks (WSANs) are designed to collect and disseminate information using a physically distributed collection of wireless nodes and multi-hop protocols. WSANs are gaining rapid adoption in industrial automation and manufacturing applications due to their low deployment cost, robustness, and configuration flexibility. While the early success of industrial WSANs has been focused on monitoring applications, there are significant advantages, and also challenges, when WSANs are used in feedback control applications. Deployments of WSANs in control applications require careful design and testing of their network configurations and of the control algorithms employed, since undesired behaviors can arise from differences between expected and observed latency and reliability. This project creates a holistic approach to design and operate industrial wireless process control systems based on new closed-loop interactions between the controller of the industrial process and the WSAN manager. In this new closed loop, the controller, using a prediction model of the industrial process, estimates and compares the control performance loss associated to different network configurations. Accordingly, the WSAN manager estimates the quality of its internal links and adapts the network configuration to optimize the controller performance.At the core of this proposal is a holistic controller, which besides choosing the input signal for the physical process, selects a network configuration from a finite set of options with the goal of providing safety and performance guarantees. The holistic controller uses estimations of network status and physical process states to decide an appropriate network configuration, keeping in mind the inherent cost and delay associated to changes in scheduling and routing. The WSAN manager will, in turn, implement a new interface to communicate with the holistic controller, new mechanisms for efficient network reconfiguration, and new observers to estimate the probability of information delivery as a function of the different configurations and environmental conditions. The proposed feedback configuration between holistic controller and network manager enables industrial process control applications that are resilient against disturbances to both the physical plant and the wireless network. Furthermore, implementation in large-scale networks is enabled using a proposed bidirectional middleware, designed to transfer information between holistic controllers and network managers in real-time, exposing only the relevant features of each to the rest of the system. The results of this project will transform the way in which industrial wireless process control systems are designed, deployed, and operated, while establishing a new class of adaptive wireless control systems.
无线传感器-致动器网络(WSAN)被设计为使用物理上分布的无线节点集合和多跳协议来收集和传播信息。由于部署成本低、健壮性和配置灵活性,WSAN在工业自动化和制造应用中得到迅速采用。虽然工业WSAN的早期成功集中在监控应用上,但当WSAN用于反馈控制应用时,存在显著的优势,也存在挑战。在控制应用程序中部署WSAN需要仔细设计和测试其网络配置和所采用的控制算法,因为预期和观察到的延迟和可靠性之间的差异可能会导致不期望的行为。该项目创建了一个整体的方法来设计和操作工业无线过程控制系统的基础上,新的闭环之间的相互作用的控制器的工业过程和WSAN管理器。在这个新的闭环中,控制器使用工业过程的预测模型来估计和比较与不同网络配置相关联的控制性能损失。相应地,WSAN管理器评估其内部链路的质量,并调整网络配置以优化控制器性能。该建议的核心是一个整体控制器,除了为物理过程选择输入信号外,还从有限的选项集中选择网络配置,目标是提供安全和性能保证。整体控制器使用网络状态和物理过程状态的估计来决定适当的网络配置,同时牢记与调度和路由变化相关的固有成本和延迟。反过来,WSAN管理器将实现与整体控制器通信的新接口、用于高效网络重新配置的新机制以及用于估计作为不同配置和环境条件的函数的信息传递的概率的新观察器。所提出的整体控制器和网络管理器之间的反馈配置,使工业过程控制应用程序,对物理工厂和无线网络的干扰是有弹性的。此外,在大规模网络中的实施,使使用建议的双向中间件,旨在实时传输信息之间的整体控制器和网络管理器,只暴露每个系统的其余部分的相关功能。该项目的成果将改变工业无线过程控制系统的设计、部署和操作方式,同时建立一类新的自适应无线控制系统。

项目成果

期刊论文数量(22)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Power electronics intelligence at the network edge (PINE)
An Analytical Approach for Loss Minimization and Voltage Profile Improvement in Distribution Systems with Renewable Energy Sources
可再生能源配电系统损耗最小化和电压分布改善的分析方法
An Online Detection Framework for Cyber Attacks on Automatic Generation Control
  • DOI:
    10.1109/tpwrs.2018.2829743
  • 发表时间:
    2017-12
  • 期刊:
  • 影响因子:
    6.6
  • 作者:
    Tong Huang;Bharadwaj Satchidanandan;P. Kumar;Le Xie
  • 通讯作者:
    Tong Huang;Bharadwaj Satchidanandan;P. Kumar;Le Xie
Optimal Information Updating based on Value of Information
On minimal tests of sensor veracity for dynamic watermarking-based defense of cyber-physical systems
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Panganamala Kumar其他文献

Panganamala Kumar的其他文献

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{{ truncateString('Panganamala Kumar', 18)}}的其他基金

FMRG: Cyber: Manufacturing USA: Material-on-demand manufacturing through convergence of manufacturing, AI and materials science
FMRG:网络:美国制造:通过制造、人工智能和材料科学的融合实现按需制造材料
  • 批准号:
    2328395
  • 财政年份:
    2024
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
SII Planning: Theory, Practice and Reality of Spectrum
SII 规划:频谱的理论、实践和现实
  • 批准号:
    2037890
  • 财政年份:
    2020
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
ICN-WEN: Collaborative Research: SPLICE: Secure Predictive Low-Latency Information Centric Edge for Next Generation Wireless Networks
ICN-WEN:协作研究:SPLICE:下一代无线网络的安全预测低延迟信息中心边缘
  • 批准号:
    1719384
  • 财政年份:
    2017
  • 资助金额:
    $ 25万
  • 项目类别:
    Continuing Grant
EAGER: Cybermanufacturing: Design and analysis of a cyberphysical systems approach for custom manufacturing kiosks
EAGER:网络制造:定制制造信息亭的网络物理系统方法的设计和分析
  • 批准号:
    1547075
  • 财政年份:
    2015
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
NeTS: Medium: Collaborative Research: Leveraging Physical Layer Advances for the Next Generation Distributed Wireless Channel Access Protocols
NeTS:媒介:协作研究:利用物理层进步实现下一代分布式无线信道接入协议
  • 批准号:
    1302182
  • 财政年份:
    2013
  • 资助金额:
    $ 25万
  • 项目类别:
    Continuing Grant
CPS: Synergy: Collaborative Research: Boolean Microgrid
CPS:协同:协作研究:布尔微电网
  • 批准号:
    1239116
  • 财政年份:
    2012
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
CPS: Medium: Collaborative Research: Architecture and Distributed Management for Reliable Mega-scale Smart Grids
CPS:中:协作研究:可靠的超大规模智能电网的架构和分布式管理
  • 批准号:
    1232601
  • 财政年份:
    2011
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
CPS: Small: Delays, Clocks, Timing and Reliability in Networked Control Systems: Theories, Protocols and Implementation
CPS:小:网络控制系统中的延迟、时钟、定时和可靠性:理论、协议和实现
  • 批准号:
    1232602
  • 财政年份:
    2011
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
CPS: Medium: Collaborative Research: Architecture and Distributed Management for Reliable Mega-scale Smart Grids
CPS:中:协作研究:可靠的超大规模智能电网的架构和分布式管理
  • 批准号:
    1035340
  • 财政年份:
    2010
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
CPS: Small: Delays, Clocks, Timing and Reliability in Networked Control Systems: Theories, Protocols and Implementation
CPS:小:网络控制系统中的延迟、时钟、定时和可靠性:理论、协议和实现
  • 批准号:
    1035378
  • 财政年份:
    2010
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant

相似海外基金

CPS: Synergy: Collaborative Research: Towards Effective and Efficient Sensing-Motion Co-Design of Swarming Cyber-Physical Systems
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CPS: Synergy: Collaborative Research: TickTalk: Timing API for Federated Cyberphysical Systems
CPS:协同:协作研究:TickTalk:联合网络物理系统的计时 API
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    1645578
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CPS: Synergy: Collaborative Research: TickTalk: Timing API for Federated Cyberphysical Systems
CPS:协同:协作研究:TickTalk:联合网络物理系统的计时 API
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    1646235
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CPS:协同:协作研究:通过低密度自动驾驶车辆控制车流
  • 批准号:
    1854321
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CPS: Synergy: Collaborative Research: Foundations of Secure Cyber-Physical Systems of Systems
CPS:协同:协作研究:安全网络物理系统的基础
  • 批准号:
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CPS: TTP Option: Synergy: Collaborative Research: An Executable Distributed Medical Best Practice Guidance (EMBG) System for End-to-End Emergency Care from Rural to Regional Center
CPS:TTP 选项:协同:协作研究:用于从农村到区域中心的端到端紧急护理的可执行分布式医疗最佳实践指导 (EMBG) 系统
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CPS: Medium: Collaborative Research: Synergy: Augmented reality for control of reservation-based intersections with mixed autonomous-non autonomous flows
CPS:中:协作研究:协同作用:用于控制具有混合自主-非自主流的基于预留的交叉口的增强现实
  • 批准号:
    1739964
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CPS: Synergy: Collaborative Research: MRI Powered & Guided Tetherless Effectors for Localized Therapeutic Interventions
CPS:协同作用:协作研究:MRI 驱动
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Synergy: Collaborative: CPS-Security: End-to-End Security for the Internet of Things
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    1822332
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    $ 25万
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