Wireless Sensor Network Scheduling and Event-based Control for Industrial Processes

Control over wireless sensor and actuator networks is of growing interest in process industry since it enables flexible design, deployment, operation, and maintenance. An important problem in industrial wireless control is how to limit the amount of information that needs to be exchanged over the ne...

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Main Author: Iwaki, Takuya
Format: Others
Language:English
Published: KTH, Reglerteknik 2018
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237527
http://nbn-resolving.de/urn:isbn:978-91-7729-996-7
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spelling ndltd-UPSALLA1-oai-DiVA.org-kth-2375272018-10-30T07:24:59ZWireless Sensor Network Scheduling and Event-based Control for Industrial ProcessesengIwaki, TakuyaKTH, ReglerteknikStockholm2018Networked control systemsWireless sensor and actuator networkEvent-based controlControl EngineeringReglerteknikControl over wireless sensor and actuator networks is of growing interest in process industry since it enables flexible design, deployment, operation, and maintenance. An important problem in industrial wireless control is how to limit the amount of information that needs to be exchanged over the network. In this thesis, network scheduling and remote control co-design is considered to address this problem. In the first part, we propose a design of an optimal network schedule for state estimation over a multi-hop wireless sensor network. We formulate an optimization problem, minimizing a linear combination of the averaged estimation error and transmission energy. A periodic network schedule is obtained, which specifies when and through which routes each sensor in the network should transmit its measurement, so that an optimal remote estimate under sensor energy consideration is achieved. We also propose some suboptimal schedules to reduce the computational load. The effectiveness of the suboptimal schedules is evaluated in numerical examples. In the second part, we propose a co-design framework for sensor scheduling, routing, and control over a multi-hop wireless sensor and actuator network. For a decoupled plant and LQG control performance, we formulate an optimization problem and show that the optimal schedule, routing, and control can be obtained locally for each control loop. In this part, we also introduce algorithms to reconfigure the schedules and routes when a link in the network is disconnected. The results are illustrated in a numerical example. In the third part, we consider event-based feedforward control from a wireless disturbance sensor. We derive stability conditions when the closed-loop system is subject to actuator saturation. Feedforward control with anti-windup compensation is introduced to reduce the effect of actuator saturation. The effectiveness of the approach is illustrated in some numerical examples. <p>QC 20181029</p>Licentiate thesis, monographinfo:eu-repo/semantics/masterThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237527urn:isbn:978-91-7729-996-7TRITA-EECS-AVL ; 2018:82application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Networked control systems
Wireless sensor and actuator network
Event-based control
Control Engineering
Reglerteknik
spellingShingle Networked control systems
Wireless sensor and actuator network
Event-based control
Control Engineering
Reglerteknik
Iwaki, Takuya
Wireless Sensor Network Scheduling and Event-based Control for Industrial Processes
description Control over wireless sensor and actuator networks is of growing interest in process industry since it enables flexible design, deployment, operation, and maintenance. An important problem in industrial wireless control is how to limit the amount of information that needs to be exchanged over the network. In this thesis, network scheduling and remote control co-design is considered to address this problem. In the first part, we propose a design of an optimal network schedule for state estimation over a multi-hop wireless sensor network. We formulate an optimization problem, minimizing a linear combination of the averaged estimation error and transmission energy. A periodic network schedule is obtained, which specifies when and through which routes each sensor in the network should transmit its measurement, so that an optimal remote estimate under sensor energy consideration is achieved. We also propose some suboptimal schedules to reduce the computational load. The effectiveness of the suboptimal schedules is evaluated in numerical examples. In the second part, we propose a co-design framework for sensor scheduling, routing, and control over a multi-hop wireless sensor and actuator network. For a decoupled plant and LQG control performance, we formulate an optimization problem and show that the optimal schedule, routing, and control can be obtained locally for each control loop. In this part, we also introduce algorithms to reconfigure the schedules and routes when a link in the network is disconnected. The results are illustrated in a numerical example. In the third part, we consider event-based feedforward control from a wireless disturbance sensor. We derive stability conditions when the closed-loop system is subject to actuator saturation. Feedforward control with anti-windup compensation is introduced to reduce the effect of actuator saturation. The effectiveness of the approach is illustrated in some numerical examples. === <p>QC 20181029</p>
author Iwaki, Takuya
author_facet Iwaki, Takuya
author_sort Iwaki, Takuya
title Wireless Sensor Network Scheduling and Event-based Control for Industrial Processes
title_short Wireless Sensor Network Scheduling and Event-based Control for Industrial Processes
title_full Wireless Sensor Network Scheduling and Event-based Control for Industrial Processes
title_fullStr Wireless Sensor Network Scheduling and Event-based Control for Industrial Processes
title_full_unstemmed Wireless Sensor Network Scheduling and Event-based Control for Industrial Processes
title_sort wireless sensor network scheduling and event-based control for industrial processes
publisher KTH, Reglerteknik
publishDate 2018
url http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237527
http://nbn-resolving.de/urn:isbn:978-91-7729-996-7
work_keys_str_mv AT iwakitakuya wirelesssensornetworkschedulingandeventbasedcontrolforindustrialprocesses
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