Sensor fault‐tolerant control of a magnetic levitation system
Identifieur interne : 002B08 ( Istex/Curation ); précédent : 002B07; suivant : 002B09Sensor fault‐tolerant control of a magnetic levitation system
Auteurs : Alain Yetendje [Australie] ; Maria M. Seron [Australie] ; José A. De Doná [Australie] ; John J. Martínez [France]Source :
- International Journal of Robust and Nonlinear Control [ 1049-8923 ] ; 2010-12.
Descripteurs français
- Wicri :
- topic : Droit d'auteur, Industrie électrotechnique.
English descriptors
- KwdEn :
- Abrupt fault, Aforementioned goal, Ball position, Centred, Componentwise bounds, Computer science, Control action, Control design, Control strategy, Control systems, Controller board, Copyright, Current paper, Current sensor, Differential equation, Dynamics, Electrical engineering, Electromagnetic, Electromagnetic force, Equilibrium point, Error analysis, Error dynamics, Error subsystem, Estimator, Experimental results, Fault detection, Fault matrix, Fault tolerance, Fault tolerance guarantees, Faulty estimator, Faulty sensor, Faulty sensors, Feedback controller, Healthy operation, Healthy sensors, Ieee transactions, Integral action, Integral action state, International journal, Invariant sets, John wiley sons, Levitation, Linearization, Local stability, Maglev, Maglev analysis, Maglev system, Magnetic levitation, Magnetic levitation system, Matrix, Measurement equations, Methodology, Nonlinear, Nonlinear control, Nonlinear systems, Note copyright, Other hand, Present paper conditions, Problem data, Quanser, Reference signal, Respective sets, Robust, Robust nonlinear control, Sampling period, Sampling time, Schur matrix, Sensor, Sensor control, Sensor faults, Square wave setpoint, State space representation, State variables, System linearization, System parameters, Time instant, Ultimate bounds, Vertical axis, Xref, Xref xref, Yetendje.
- Teeft :
- Abrupt fault, Aforementioned goal, Ball position, Centred, Componentwise bounds, Computer science, Control action, Control design, Control strategy, Control systems, Controller board, Copyright, Current paper, Current sensor, Differential equation, Dynamics, Electrical engineering, Electromagnetic, Electromagnetic force, Equilibrium point, Error analysis, Error dynamics, Error subsystem, Estimator, Experimental results, Fault detection, Fault matrix, Fault tolerance, Fault tolerance guarantees, Faulty estimator, Faulty sensor, Faulty sensors, Feedback controller, Healthy operation, Healthy sensors, Ieee transactions, Integral action, Integral action state, International journal, Invariant sets, John wiley sons, Levitation, Linearization, Local stability, Maglev, Maglev analysis, Maglev system, Magnetic levitation, Magnetic levitation system, Matrix, Measurement equations, Methodology, Nonlinear, Nonlinear control, Nonlinear systems, Note copyright, Other hand, Present paper conditions, Problem data, Quanser, Reference signal, Respective sets, Robust, Robust nonlinear control, Sampling period, Sampling time, Schur matrix, Sensor, Sensor control, Sensor faults, Square wave setpoint, State space representation, State variables, System linearization, System parameters, Time instant, Ultimate bounds, Vertical axis, Xref, Xref xref, Yetendje.
Abstract
In this paper, a fault‐tolerant switching control strategy is implemented on a magnetic levitation (MAGLEV) system. Two sensors are embedded in the MAGLEV system and their measurements used by two independent estimators. Each sensors–estimator combination, together with a feedback controller can levitate and stabilize a 1‐in steel ball at a desired position in the air. The paper focuses on the design and testing of a switching scheme which, at each instant of time, selects the sensors–estimator combination that provides the best closed loop performance based on a chosen criterion. Theoretical results on the system linearization around an operating point ensure local closed‐loop stability and good performance under the occurrence of an abrupt fault in one of the plant sensors. Experimental results are provided which confirm the fault‐tolerant capabilities of the strategy. Copyright © 2010 John Wiley & Sons, Ltd.
Url:
DOI: 10.1002/rnc.1572
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<front><div type="abstract" xml:lang="en">In this paper, a fault‐tolerant switching control strategy is implemented on a magnetic levitation (MAGLEV) system. Two sensors are embedded in the MAGLEV system and their measurements used by two independent estimators. Each sensors–estimator combination, together with a feedback controller can levitate and stabilize a 1‐in steel ball at a desired position in the air. The paper focuses on the design and testing of a switching scheme which, at each instant of time, selects the sensors–estimator combination that provides the best closed loop performance based on a chosen criterion. Theoretical results on the system linearization around an operating point ensure local closed‐loop stability and good performance under the occurrence of an abrupt fault in one of the plant sensors. Experimental results are provided which confirm the fault‐tolerant capabilities of the strategy. Copyright © 2010 John Wiley & Sons, Ltd.</div>
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