Fault diagnosis of dynamical systems using recurrent fuzzy systems with application to an electrohydraulic servo axis

Schwung, Andreas; Beck, Mark; Adamy, Jürgen

doi:10.1016/j.fss.2015.04.006

Cited by 14 publications

(6 citation statements)

References 40 publications

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“…The design of nonlinear observers, especially with unknown disturbances is difficult and complicated [Shang and Liu(2011)]. In some researches, the nonlinear system is linearzed or partially linearized [Schwung et al(2015)Schwung, Beck, and Adamy, Wei et al(2017)Wei, Qiu, Shi, and Wu,Li et al(2017)Li, Wang, Aitouche, Tian, and Christov,Ma et al(2018 Ma, Liu, Li, and Yang]. Silding-model observer (SMO) technique shows some effectiveness for fault estimation, as in a Takagi-Sugeno model Li, Wang, Aitouche, and Christov], a satellite attitude control system [Zhang et al(2013) Zhang, Swain, and Nguang], and an extended fixed-time SMO applied in FTC for an unmanned airship [Zhou et al(2022)Zhou, Li, Yang, Xu, Yu, and Zhang].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear observer-based fault diagnosis for the control system of the stratospheric airship

Zhu

Zheng

et al. 2023

Preprint

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This paper is dedicated to investigating an observer-based fault diagnosis (FD) approach for a Lipschitz nonlinear system and applied in a stratospheric airship (SA) flight control system. The system model uncertainties, external disturbances, and sensor noise are considered. Firstly, a detailed model of the SA is obtained by kinematics and dynamics. Then a nonlinear fault detection observer is designed via Linear Matrix Inequation (LMI) in H∞ framework, and a bank of unknown input observers is activated for isolating the faulty component. Moreover, to estimate the size of the fault, an expanded robust estimation observer is designed concerning states and fault estimator error. All of the mentioned observers are designed by a matrix inequation formulation, which reformulated the nonlinear system to a generalized Linear Parameter Varying (LPV) system mathematically. The proposed FD scheme is applied to the control system of a SA and its effectiveness is illustrated. Mathematics Subject Classification (2020) MSC code1 · MSC code2 · more

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Section: Introductionmentioning

confidence: 99%

Nonlinear observer-based fault diagnosis for the control system of the stratospheric airship

Zhu

Zheng

et al. 2023

Preprint

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“…In the EHA applications, Fu studied fault diagnosis of a large forging hydraulic press by extracting and mapping leakage information [21]. Intelligent and optimization-based fault diagnosis of EHA can also be found in several literatures [22,23]. Though many of the abovementioned studies proposed powerful strategies for different fault scenarios, noise disturbances were forcedly kept at its upper or lower boundary and required much design effort (such as the requirement of high-dimensional optimization tools in the design process).…”

Section: Introductionmentioning

confidence: 99%

An Unknown Input Observer–EFIR Combined Estimator for Electrohydraulic Actuator in Sensor Fault-Tolerant Control Application

Nahian

Dinh

Dao

et al. 2020

IEEE/ASME Trans. Mechatron.

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“…Combined between fault tolerant and fault diagnosis against actuators faults for wind turbine is analyzed [6]. Some diagnosis scheme of failures focuses on one task of fault diagnosis as fault isolation loop for fuzzy systems [7]. This kind of systems are analyzed against input faults by using a proportional integral observer for fault diagnosis compensation [8].…”

Section: Introductionmentioning

confidence: 99%

Fault Diagnosis of Uncertain Hybrid Actuators Based Model Predictive Control

Zahaf

Bounemeur

Bououden

et al. 2020

Lecture Notes in Electrical Engineering

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This paper presents an online controlling and fault diagnosis scheme for hybrid (electric and pneumatic) actuators with nonlinear uncertain discrete time system. The proposed approach features a modular observer based on model predictive control (FDMPC). The fault detection design can detect faulty states and parametric faults based on predictions states of hybrid system that using to guarantees no false-positives alarms due to systems uncertainties and occurred faults. On the other hand, based on the fault conditions that have occurred, the proposed scheme is able to reconstruct the time varying faults directly without using an isolation and identification task, by calculating approximating the unknown parameter values based on necessary conditions. The simulation results of a hybrid actuators of an industrial arm shown the effectiveness of the proposed approach.

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Fault diagnosis of dynamical systems using recurrent fuzzy systems with application to an electrohydraulic servo axis

Cited by 14 publications

References 40 publications

Nonlinear observer-based fault diagnosis for the control system of the stratospheric airship

Nonlinear observer-based fault diagnosis for the control system of the stratospheric airship

An Unknown Input Observer–EFIR Combined Estimator for Electrohydraulic Actuator in Sensor Fault-Tolerant Control Application

Fault Diagnosis of Uncertain Hybrid Actuators Based Model Predictive Control

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