Approach for Robust Joint Actuator and Sensor Fault Estimation: Application to a DC Servo-Motor System
Institute of Control and Computation Engineering, University of Zielona Góra, ul. Szafrana 2, 65-516 Zielona Góra, Poland
Authors to whom correspondence should be addressed.
Received: 17 April 2019 / Revised: 31 May 2019 / Accepted: 6 June 2019 / Published: 11 June 2019
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The main objective of this paper is to develop an actuator and sensor fault estimation framework taking into account various uncertainty sources. In particular, these are divided into three groups: sensor measurement noise, process-external exogenous disturbances, as well as unknown fault dynamics. Unlike the approaches presented in the literature, here they are not processed in the same way but treated separately in a suitably tailored fashion. Finally, the approach resolves to minimizing their effect on the fault estimation error in either the
sense. As a result, a mixed performance–based actuator fault estimation framework is obtained, along with its convergence conditions. The final part of the paper presents performance analysis results obtained for a DC servo-motor. Subsequently, another three-tank-system-based example is presented. In both cases, the proposed approach is compared with an alternative one, which clearly exhibits its superiority.
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MDPI and ACS Style
Buciakowski, M.; Pazera, M.; Witczak, M. A Combined
Approach for Robust Joint Actuator and Sensor Fault Estimation: Application to a DC Servo-Motor System. Sensors 2019, 19, 2648.
Buciakowski M, Pazera M, Witczak M. A Combined
Approach for Robust Joint Actuator and Sensor Fault Estimation: Application to a DC Servo-Motor System. Sensors. 2019; 19(11):2648.
Buciakowski, Mariusz; Pazera, Marcin; Witczak, Marcin. 2019. "A Combined
Approach for Robust Joint Actuator and Sensor Fault Estimation: Application to a DC Servo-Motor System." Sensors 19, no. 11: 2648.
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