Comparative study of inversion-based and observer-based approaches for fault diagnosis in DC-DC converters

Silveira, Alexandre Miguel Marques da; Araújo, Rui Esteves; Ulson, José Alfredo Covolan

doi:10.1109/pedg.2017.7972516

Cited by 4 publications

(5 citation statements)

References 14 publications

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“…, q}. Moreover, A q ∈ R n×n , B q ∈ R n×m , C q ∈ R p×n and F q ∈ R n× , with q ∈ Q, are constant matrices that define the subsystems in (22). One are assuming that σ(•) := {σ(k)} is a piecewise constant function, meaning that it takes a constant value every interval between two consecutive switchings.…”

Section: Inversion Of Switched Linear Systemsmentioning

confidence: 99%

“…This step-up DC-DC converter is constituted of a power source, an inductor L (not ideal), a switch S 1 , a diode D 1 , a filtering capacitor C 1 and a load resistance R o at the output. Since the converter is operating in closed-loop, all the considered faults will manifest themselves in the unknown input vector of (22). Thus, the dynamics of the boost converter with the inclusion of faults can be modeled by the following generalized discrete-time state-space system Γ σ(k) :…”

Section: Boost Power Convertermentioning

confidence: 99%

“…Regarding the approach proposed by Reference [2], there are only a few works using it with the purpose of FDI, for example, References [21,22]. Hence, the goal of this paper is twofold.…”

Section: Introductionmentioning

confidence: 99%

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Inversion-Based Approach for Detection and Isolation of Faults in Switched Linear Systems

Silveira

Araújo

2020

Electronics

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This paper addresses the problem of the left inversion of switched linear systems from a diagnostics perspective. The problem of left inversion is to reconstruct the input of a system with the knowledge of its output, whose differentiation is usually required. In the case of this work, the objective is to reconstruct the system’s unknown inputs, based on the knowledge of its outputs, switching sequence and known inputs. With the inverse model of the switched linear system, a real-time Fault Detection and Isolation (FDI) algorithm with an integrated Fuzzy Logic System (FLS) that is capable of detecting and isolating abrupt faults occurring in the system is developed. In order to attenuate the effects of unknown disturbances and noise at the output of the inverse model, a smoothing strategy is also used. The results are illustrated with an example. The performance of the method is validated experimentally in a dc-dc boost converter, using a low-cost microcontroller, without any additional components.

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Section: Inversion Of Switched Linear Systemsmentioning

confidence: 99%

Section: Boost Power Convertermentioning

confidence: 99%

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Inversion-Based Approach for Detection and Isolation of Faults in Switched Linear Systems

Silveira

Araújo

2020

Electronics

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“…Generally speaking, the methods of fault detection can be divided into three categories: knowledge-based, signal-based and analytical models. 8,9 Among model-based methods, observer-based methods are common. [10][11][12] For example, observer-based have been developed in recent years, such as adaptive observer, Lunberger observer, sliding mode observer, fuzzy observer etc.…”

Section: Introductionmentioning

confidence: 99%

“…Fault detection and fault diagnosis methods for dynamic systems are presented, 7 but they are multidimensional in terms of fault detection methods. Generally speaking, the methods of fault detection can be divided into three categories: knowledge‐based, signal‐based and analytical models 8,9 . Among model‐based methods, observer‐based methods are common 10‐12 .…”

Section: Introductionmentioning

confidence: 99%

Robust fault detection and adaptive parameter identification for DC‐DC converters via switched systems

LiJian

Pan

SuQingyu

2020

Adaptive Control & Signal

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In this paper, the problem of fault detection and identification for DC-DC converters is presented. First, switched systems model and fault model are analyzed based the switched characteristics of the DC-DC converters, taking the DC-DC buck converter as an example. According to the switched Lyapunov function technique, a fault detection observer and a bank of linear switched fault identification observers are designed for the switched systems. Next, the fault detection observer detects the fault based on the residual produced by the observer output and actual output. After the fault is detected, fault identification observers are activated. The location of fault is identified by comparing the residual evaluation functions. Meanwhile, the adaptive parameter identification is achieved by choosing an appropriate adaptive law. Finally, in order to show the feasibility of the fault detection and identification, the simulation results are given in this article.

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Reviewing Fault Diagnosis Methods in Electric Drives: Power Subsystem and Electrical Machine

Demidova,

Chen,

et al. 2023

2023 IEEE 24th International Conference of Young Professionals in Electron Devices and Materials (EDM)

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Comparative study of inversion-based and observer-based approaches for fault diagnosis in DC-DC converters

Cited by 4 publications

References 14 publications

Inversion-Based Approach for Detection and Isolation of Faults in Switched Linear Systems

Inversion-Based Approach for Detection and Isolation of Faults in Switched Linear Systems

Robust fault detection and adaptive parameter identification for DC‐DC converters via switched systems

Reviewing Fault Diagnosis Methods in Electric Drives: Power Subsystem and Electrical Machine

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