2021 24th International Conference on Mechatronics Technology (ICMT) 2021
DOI: 10.1109/icmt53429.2021.9687272
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Observer-based Fault-Tolerant Control of an Electro-Hydraulic Actuator with mismatched disturbance

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Cited by 3 publications
(4 citation statements)
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“…In [21,24,25], authors are only interested to position sensor fault identification for EHSS. Whereas, in this study, the problem of multiple sensor faults detection, estimation, and isolation are discussed for EHSS with matched and unmatched disturbances.…”
Section: Remarkmentioning
confidence: 99%
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“…In [21,24,25], authors are only interested to position sensor fault identification for EHSS. Whereas, in this study, the problem of multiple sensor faults detection, estimation, and isolation are discussed for EHSS with matched and unmatched disturbances.…”
Section: Remarkmentioning
confidence: 99%
“…Especially, NUIO is an excellent way to accurately estimate and distinguish disturbances and faults developed based on the linear matrix inequality (LMI) method. In EHSS applications, Du et al given fault diagnosis using NUIO for position sensor fault while the other sensors were not considered [21]. Reference [22] investigated an UIO-integrated extended finite impulse response to solve multi-sensor fault but the matched, unmatched disturbance were also neglected.…”
Section: Introductionmentioning
confidence: 99%
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“…An active force control system is developed to provide an accurate real-time force loading for the landing gear of the M-346 "iron bird", which is an integrated testing rig for the simulation, confirmation, and verification of the flight controls, hydraulic system, and landing gear of the M-346 trainer, adopting the servo valve to control the hydraulic actuator, combined with a nonlinear adaptive control law to achieve precise loading controls [11]. To account for the internal and external disturbances that affect the mechanism of the loading simulator, a more accurate mathematical model, including nonlinear factors and uncertainties, advanced control algorithms (i.e., backstepping [12], sliding mode, neural network [13], iterative learning control [14]), and sensor faults and disturbances observation [15,16], is utilized for accurate tracking and nonlinear compensation. The backstepping adaptive control, combined with the modified LuGre friction model [17], is introduced into the force-tracking control of the loading simulator [18].…”
Section: Introductionmentioning
confidence: 99%