Investigation of unknown input observer for sensor fault diagnosis for a CSTR process

Kannan, V. Kamatchi; Srimathi, R.; Venugopal, G.; Valarmathi, R.; PrithiEkammai, L.T.

doi:10.1016/j.matpr.2020.12.931

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…The studies are presented in the first area that UIO is considered for delayed nonlinear systems with different conditions and properties [39][40][41]. But in many studies, presented in the fault detection and identification filed, the delay phenomenon is not considered for nonlinear and systems ( [10][11][12][13][14][15][16][17]. Furthermore, in the few articles that have considered the delay, there are other limiting conditions such as: the linearity of the system, the occurrence of only one fault (either the sensor fault or the actuator fault), the absence of disturbances in the output or state, and the failure to consider uncertainties in the model and a particular location of time delay such as delay located only in the linear part or only in the nonlinear part, specific class of nonlinear time-delay systems [22,23,42,43].…”

Section: Discussionmentioning

confidence: 99%

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Fault estimation for nonlinear uncertain time‐delay systems based on unknown input observer

Azarbani,

Fakharian,

Menhaj

2024

IET Control Theory & Appl

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In this paper, a novel nonlinear unknown input observer is proposed in order to fault estimation for nonlinear uncertain systems with time delays. By the estimation of the faults, the features are detected such as shape, size occurrence time etc. The time delay is considered a constant and known parameter in the states. The disturbances are investigated in the states and outputs and also, and sensor and actuator faults are considered. The stability of the closed‐loop system is guaranteed by Lyapunov–Krasovskii theory and some feasible Linear matrix inequalities (LMI). The proposed method is simulated on a continuous‐stirred tank reactor (CSTR) with uncertainties and time delay. Simulation results show the appropriate efficiency of the proposed method.

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Section: Discussionmentioning

confidence: 99%

“…In [11], a sensor fault is determined using UIO for a CSTR process. Based on the designed UIO, a residual signal is generated, representing a deviation between observer output and plant output.…”

Section: Introductionmentioning

confidence: 99%

Fault estimation for nonlinear uncertain time‐delay systems based on unknown input observer

Azarbani,

Fakharian,

Menhaj

2024

IET Control Theory & Appl

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Robust Unknown Input Observer of Nonlinear Quadratic Systems With Application to Sensor Fault Estimation

Abdullah

2024

Intl J Robust & Nonlinear

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A robust unknown input observer (UIO) is designed for nonlinear quadratic systems (NQSs) affected by unknown input, disturbance, and noise. It is assumed that in this article the system states and their estimates are varying inside a hyper‐rectangle region of known vertices. Based upon satisfying the observer matching condition and the minimum phase condition (at every vertex of the hyper‐rectangle region of the system states and their estimates), a set of tractable linear matrix inequalities (LMIs) is derived for computing the design matrices of robust UIO. The design methodology of robust UIO is extended to NQSs affected by sensor fault, disturbance, and noise. By modeling the sensor fault as a system state with unknown sensor fault input, it is found that the observer matching condition is satisfied and only the minimum phase condition should be verified at every vertex of the hyper‐rectangle region of the system states and their estimates. Another set of tractable LMIs is derived to compute the design matrices of robust UIO, which simultaneously estimates the system's states and sensor faults. A practical example of a nonlinear quadratic Rössler circuit affected by sensor fault, disturbance, and noise is used to show the design steps and to verify the proposed robust UIO. Simulation results indicate the ability of the proposed robust UIO to simultaneously estimate the system's states and sensor faults of NQSs affected by disturbance and noise.

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Design and real-time evaluation of a novel observer-based predefined-time controller for the industrial processes

Soltani Sharif Abadi,

Heidarpoor Dehkordi,

Hajiyan

et al. 2024

ISA Transactions

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Investigation of unknown input observer for sensor fault diagnosis for a CSTR process

Cited by 5 publications

References 9 publications

Fault estimation for nonlinear uncertain time‐delay systems based on unknown input observer

Fault estimation for nonlinear uncertain time‐delay systems based on unknown input observer

Robust Unknown Input Observer of Nonlinear Quadratic Systems With Application to Sensor Fault Estimation

Design and real-time evaluation of a novel observer-based predefined-time controller for the industrial processes

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