Publication
Estimation of actuator and system faults via an unknown input interval observer for Takagi-Sugeno systems
Journal Article (2020)
Authors
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Martinez-Garcia, Citlaly
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Puig Cayuela, Vicenç
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Astorga-Zaragoza, Carlos
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Madrigal-Espinosa, Guadalupe
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Reyes-Reyes, Juan
Abstract
This paper presents a simultaneous state variables and system and actuator fault estimation, based on an unknown input interval observer design for a discrete-time parametric uncertain Takagi–Sugeno system under actuator fault, with disturbances in the process and measurement noise. The observer design is synthesized by considering unknown but bounded process disturbances, output noise, as well as bounded parametric uncertainties. By taking into account these considerations, the upper and lower bounds of the considered faults are estimated. The gain of the unknown input interval observer is computed through a linear matrix inequalities (LMIs) approach using the robust H∞ criteria in order to ensure attenuation of process disturbances and output noise. The interval observer scheme is experimentally evaluated by estimating the upper and lower bounds of a torque load perturbation, a friction parameter and a fault in the input voltage of a permanent magnet DC motor.
Categories
control theory.
Scientific reference
C. Martinez-Garcia, V. Puig, C. Astorga-Zaragoza, G. Madrigal-Espinosa and J. Reyes-Reyes. Estimation of actuator and system faults via an unknown input interval observer for Takagi-Sugeno systems. Processes, 8(1): 61, 2020.
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