A luenberger observer-based fault detection and identification scheme for photovoltaic DC-DC converters

Jain, Palak; Li, Jian; Poon, Jason; Spanos, Costas J.; Sanders, S.R.; Xu, Jian‐Xin; Panda, Sanjib Kumar

doi:10.1109/iecon.2017.8216866

Cited by 21 publications

(10 citation statements)

References 16 publications

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“…A PV-connected DC-DC boost converter using a LUENBERGER observer-based fault detection controller was presented in [26]. A deep mathematical approach was investigated in this study and the converter block worked as a part of the PV-based maximum power point tracking system.…”

Section: Resultsmentioning

confidence: 99%

“…Controller Switching Frequency Average Efficiency (500 W) Complexity [23] Capacitor voltage 20 kHz 87 Medium [24] Inductor current 15 kHz 85 Medium [25] State estimation 10-20 kHz 87 Medium [26] LUENBERGER observer 10 kHz 85 High [27] Linear observer 25 kHz 90 High Proposed PI 50 kHz 91.5 Medium Figure 18 presents the efficiency curves for the presented controllers in Table 4 versus the output power. As can be seen, the performance of the proposed PI controller is considerable, especially in low powers.…”

Section: Referencementioning

confidence: 99%

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A Modified Step-Up Converter with Small Signal Analysis-Based Controller for Renewable Resource Applications

et al. 2019

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Solar energy is one of the most important renewable sources due to its advantages such as simple structure, convenient installation, diverse applications, and low maintenance costs. Low power generation is the main concern with solar panels, so the maximum transmission of this power is a prime priority. The design of boost converters with the ability to generate high voltage gain, efficient structure, and stable and low-cost control circuits is the first step after installing these panels. This study presents a simple and high-gain design of a step-up converter, which uses only one power switch. The significance of this issue is when it will be apparent to know that each switch needs a separate control circuit and complex systems require more control topologies. In comparison with the conventional converter, the gain of the proposed converter, with the use of two additional diodes, a capacitor, and an inductor, was five times greater than the gain of a classical converter with 80% of the duty cycle. The proposed converter can solve the narrow turn-off period problem for the power semiconductor components in order to achieve higher DC voltages that are possible at higher duty cycles in classical converters. Small signal analysis of the proposed converter is presented and a controller based on steady-space matrixes is presented. The reaction of the proposed controller is considerable since a deep mathematical analysis supports this controller. The principal operations of the proposed converter and the projected controller were analyzed mathematically and verified with the help of MATLAB/SIMULINK. Additionally, hardware implementation of the proposed converter was done on a laboratory-scale around 100 W.

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Section: Resultsmentioning

confidence: 99%

Section: Referencementioning

confidence: 99%

A Modified Step-Up Converter with Small Signal Analysis-Based Controller for Renewable Resource Applications

et al. 2019

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“…[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. 13,14 Authors study fault-tolerant control for nonlinear singular systems with time varying delay based on fault diagnosis observer. 15 The difference is that the author designs slide-mode observer for his own fault detection method.…”

Section: Introductionmentioning

confidence: 99%

“…Among model‐based methods, observer‐based methods are common 10‐12 . For example, observer‐based have been developed in recent years, such as adaptive observer, Lunberger observer, sliding mode observer, fuzzy observer etc 13,14 . Authors study fault‐tolerant control for nonlinear singular systems with time varying delay based on fault diagnosis observer 15 .…”

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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“…In [11] the diode voltage and the gate-driver signal were processed in a simple logic circuit for OCF and SCF diagnosis by taking into account both switch and diode faults in non-isolated dc-dc converters. In [12] a fault diagnosis scheme was proposed for passive and switching components faults in a boost dc-dc converter. The dc-dc converter input and output measurements were required for the FDI methodology based on linear-switched Luenberger observers.…”

Section: Introductionmentioning

confidence: 99%

Switch fault diagnosis for boost DC–DC converters in photovoltaic MPPT systems by using high‐gain observers

Trejo

Taheri²,

Pecina-Sánchez

2019

IET Power Electronics

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Open-and short-circuit faults (OSCFs) in boost dc-dc converters for photovoltaic (PV) maximum power point trackers (MPPTs) imply an inefficiency after fault is triggered, which affect the security and profitability of PV projects. Hence, fault detection and isolation (FDI) techniques have become an important issue for PV technology. In this study, a model-based FDI technique is proposed to boost dc-dc converters in PV MPPT systems. As is well-known, major issues of model-based FDI techniques have always been parametric uncertainty and no-modelled dynamics. This study focuses on how to mitigate these shortcomings by applying a high-gain observer (HGO) as a residual generator. A striking feature of HGO's is that exponential stability is still guaranteed for bounded disturbances (or faults). As demonstrated in this study, under an integral control action in the closed-loop control system, OSCFs are characterised for ever-growing signals, enabling the suggested FDI scheme. Also, the FDI proposal is decoupled from PV current (irradiance changes) and load variations, thereby avoiding false alarms. Moreover, the output-injection gain and thresholds are selected such that the fault diagnosis is achieved in eight switching cycles, enabling a fast and reliable diagnosis. Experimental results are illustrated to validate the FDI scheme proposed in this study.

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A luenberger observer-based fault detection and identification scheme for photovoltaic DC-DC converters

Cited by 21 publications

References 16 publications

A Modified Step-Up Converter with Small Signal Analysis-Based Controller for Renewable Resource Applications

A Modified Step-Up Converter with Small Signal Analysis-Based Controller for Renewable Resource Applications

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

Switch fault diagnosis for boost DC–DC converters in photovoltaic MPPT systems by using high‐gain observers

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