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Control of a Multivariable Lighting System
Linköping University, Department of Electrical Engineering, Automatic Control.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This master’s thesis examines how a small MIMO lighting system can be identified and controlled. Two approaches are examined and compared; the first approach is a dynamic model using state space representation, where the system identification technique is Recursive Least Square, RLS, and the controller is an LQG controller; the second approach is a static model derived from the physical properties of light and a feedback feed-forward controller consisting of a PI controller coupled with a Control Allocation, CA, technique. For the studied system, the CA-PI approach significantly outperforms the LQG-RLS approach, which leads to the conclusion that the system’s static properties are predominant compared to the dynamic properties.

Place, publisher, year, edition, pages
2017. , p. 58
Keywords [en]
Cotrol Allocation, lighting system, MIMO control, multivariable control, light system, recursive least square, RLS, model predictive control, MPC, LQG, static control, non-dynamic control
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-134913ISRN: LiTH-ISY-EX--17/5022--SEOAI: oai:DiVA.org:liu-134913DiVA, id: diva2:1077973
External cooperation
Syntronic AB
Subject / course
Automatic Control
Supervisors
Examiners
Available from: 2017-03-13 Created: 2017-03-01 Last updated: 2017-03-13Bibliographically approved

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CiteExportLink to record
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  • apa
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Output format
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