Predictive Control for Wireless Networked Systems in Process Industry
2014 (English)Doctoral thesis, monograph (Other academic)
Wireless networks in industrial process control enable new system architectures and designs. However, wireless control systems can be severely affected by the imperfections of the communication links. This thesis proposes new methods to handle such imperfections by adding additional components in the control loop, or by adapting sampling intervals and control actions.
First, the predictive outage compensator is proposed. It is a filter which is implemented at the receiver side of networked control systems. There it generates predicted samples when data are lost, based on past data. The implementation complexity of the predictive outage compensator is analyzed. Simulation and experimental results show that it can considerably improve the closed-loop control performance under communication losses.
The thesis continues with presenting an algorithm for controlling multiple processes on a shared communication network, using adaptive sampling intervals. The methodology is based on model predictive control, where the controller jointly decides the optimal control signal to be applied as well as the optimal time to wait before taking the next sample. The approach guarantees conflict-free network transmissions for all controlled processes. Simulation results show that the presented control law reduces the required amount of communication, while maintaining control performance.
The third contribution of the thesis is an event-triggered model predictive controller for use over a wireless link. The controller uses open-loop optimal control, re-computed and communicated only when the system behavior deviates enough from a prediction. Simulations underline the methods ability to significantly reduce computation and communication effort, while guaranteeing a desired level of system performance.
The thesis is concluded by an experimental validation of wireless control for a physical lab process. A hybrid model predictive controller is used, connected to the physical system through a wireless medium. The results reflect the advantages and challenges in wireless control.
Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2014. , viii,123 p.
TRITA-EE, ISSN 1653-5146 ; 2014:004
model predictive control; networked control systems; wireless systems; process industry; automatic control
IdentifiersURN: urn:nbn:se:kth:diva-141459ISBN: 978-91-7595-014-3OAI: oai:DiVA.org:kth-141459DiVA: diva2:697129
2014-03-14, Sal F3, Lindstedtsvägen 26, KTH, Stockholm, 14:15 (English)
Hägglund, Tore, Professor
Johansson, Karl H., ProfessorSandberg, Henrik, Docent
QC 201402172014-02-172014-02-172014-02-17Bibliographically approved