Title
Model-Guided Data-Driven Decentralized Control for Magnetic Levitation Systems.
Abstract
This paper presents a half bogie model of magnetic levitation systems, which can capture the mechanical coupling between two suspension points. Based on the half bogie model, a model-guided state feedback controller is designed to stabilize the nominal model. A new extended state observer using measured data is proposed to estimate the unknown system state as well as the modeling uncertainties, disturbances, and coupling. This leads to an active disturbance rejection controller that can cancel the effect of unknown disturbances. By incorporating model-guided state feedback controller and the data-driven active disturbance rejection controller with an appropriate tuning of parameters, the closed loop system can track the desired gap up to any given accuracy. Simulation and experimental results demonstrate the effectiveness of the proposed method.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2861885
IEEE ACCESS
Keywords
Field
DocType
Magnetic levitation systems,model-guided data-driven control,extended state observer
State observer,Suspension (vehicle),Control theory,Decentralised system,Coupling,Full state feedback,Computer science,Control theory,Magnetic levitation,Bogie,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Qiang Chen160457.44
Ying Tan273786.47
Jie Li392.85
Denny Oetomo410031.30
Iven Mareels5884129.28