Adaptive and Exact Linearization Control of Multicellular Power Converter Based on Shunt Active Power Filter

Rouabah, Boubakeur; Rahmani, Lazhar; Toubakh, Houari; Duviella, E.

doi:10.1007/s40313-019-00510-w

Cited by 10 publications

(9 citation statements)

References 37 publications

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“…a DC/DC classic converter is used in water pumping system based on photovoltaic panels is used in [4], a classical twolevel topology is used in [5][6] for PV water pumping system in rural areas. However, a considerable voltage stress on switching devices in the classical two-level topology and high dv/dt ratio increases the power loss and can cause damage to switching devices [7][8]. Therefore, a multilevel converter topology is proposed in a PV water pumping system [9] that can operate with low-voltage stress across devices and a wide voltage range.…”

Section: B Related Workmentioning

confidence: 99%

Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System

et al. 2023

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Currently, providing water in developing countries, especially in dry and hot rural areas, is a significant challenge. However, creating new electric grids is often expensive. Therefore, the use of lowcost photovoltaic (PV) panels in water pumping systems, without chemical energy storage, based on highperformance and more efficient power converters with increased time life and lower maintenance interventions is needed. In this study, a photovoltaic water pumping system with two power converters, the first is used to extract the maximum power using the maximum power point tracking (MPPT) algorithm, and the second is a three-cell multicellular power converter used to control the DC motor with a submerged pump. Meanwhile, the serial connection and redundant topology of multicellular converters render the system more vulnerable to failure. fault diagnosis-based machine learning approach and fault tolerant control (FTC) are proposed for multicellular power converters. Simulation results with MATLAB show the effectiveness and practicability of the proposed structure and control to isolate the faulty capacitor, increase the sustainability of the system, assure the supply of water under faulty conditions, minimize the mechanical vibrations in electric DC motors, and avoid PV system shutdown.INDEX TERMS Photovoltaic water pumping system, multicellular converter, fault diagnosis based machine learning, fault tolerant control (FTC).

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Section: B Related Workmentioning

confidence: 99%

Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System

et al. 2023

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“…Substitute of Equation (7) in Equation (12) give the following equation Sr ̇=f(x)+g(x)u-ẋr ef (12) The input control u is given in Equation (13) u=u eq +u n (13) Suppose an ideal sliding motion. This can be expressed as Sr(x)=0 and Sr ̇(x)=0.…”

Section: Sliding Mode Controlmentioning

confidence: 99%

“…Therefore, the use of more efficient and robust power converter in more electric power system is necessary. Multicellular power converters or flying capacitor topology has more advantageous compared with other power converter topologies, such as reduced stress on power switches, high switching frequency capability and small dv/dt [10][11][12]. In [13][14] a multicellular converter shows a good robustness against parametric variations and current harmonics for a various control method.…”

Section: Introductionmentioning

confidence: 99%

Health management using fault detection and fault tolerant control of multicellular converter applied in more electric aircraft system

Mahboub¹,

Rouabah²,

Kafi³

et al. 2022

Diagnostyka

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The increased cost of fuel and maintenance in aircraft system lead to the concept of more electric aircraft, moreover this concept increase the use of power electronic converters in aircraft power system. Since in this application, the reliability is a crucial feature. Therefore, the use of more efficient, reliable and robust power converter with health management capability will be a big challenge. Multicellular topology of power converters has the required performance in terms of efficiency and robustness. However, the increased complexity of control and more power components (power switches and capacitors) goes along with an increase in possibility of failure in multicellular topology. Therefore, the main contribution of this paper is the use of multicellular topology advantageous with fault diagnosis and fault tolerant control in order to increase the robustness reliability. The health management using a fault detection with Fuzzy Pattern Matching (FPM) algorithm when a failure in power switches or flying capacitors of multicellular converter and a Fault Tolerant Control (FTC) with sliding mode of second parallel three cells multicellular converters. Simulation results with Matlab show the increased efficiency and the continuity of work during failure mode in aircraft power system.

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“…Meanwhile, in [10], a solar photovoltaic system based on a two-level power converter was connected to a three-phase grid with power quality enhancement, while a two-level classical topology power converter was used as a distributed generation interfaced converter (DGIC) in [11]. However, in the classical two-level topology of power converters, the increased voltage stress applied to power switches and the high dv/dt ratio can cause damage to the power switches [12,13]. Therefore, power converters with a multilevel topology are used in solar photovoltaic systems to improve their efficiency, as mentioned in [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

“…Among the multilevel topologies, the multicellular power converter has gained interest in recent years due to several advantages, such as increasing the speed by increasing the voltage by controlling the constant voltage/frequency ratio that is used in the control of the synchronous machines with permanent magnets [17]. In addition, due to the low dv/dt stress and low rating of the power-switching devices, multicellular converters can be used in applications with high DC voltage [18] because of the voltage on the DC side being naturally divided in flying capacitors [12,13,[19][20][21][22]. Several studies on control methods of power converters have been applied to multicellular converters to enhance their robustness, rapidity, and accuracy.…”

Section: Introductionmentioning

confidence: 99%

Fault-Detection-Based Machine Learning Approach to Multicellular Converters Used in Photovoltaic Systems

et al. 2022

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Today, solar energy systems based on photovoltaic (PV) panels associated with power converters are increasingly used to supply isolated sites. This structure has attracted several studies as a cost-effective, freely available, efficient source of clean and low-cost energy. However, the faults in power converters can affect the stability of the control system by supplying the isolated site with unwanted current and voltage. Therefore, this paper presents a comparative study using a fault-detection-based k-nearest neighbor (KNN) approach, between sliding mode control and exact linearization control applied to an isolated PV-system-based multicellular power converter, in order to assess the robustness and the performance of the two control strategies against the flying capacitor faults. The results obtained for both control methods in different fault cases are analyzed in terms of time series and feature spaces. These results, obtained with MATLAB software, prove the superiority of sliding mode control over exact linearization control in terms of response time, precision, and oscillations of flying capacitor voltages, as well as better separation (classification) between different fault cases in feature space.

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Adaptive and Exact Linearization Control of Multicellular Power Converter Based on Shunt Active Power Filter

Cited by 10 publications

References 37 publications

Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System

Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System

Health management using fault detection and fault tolerant control of multicellular converter applied in more electric aircraft system

Fault-Detection-Based Machine Learning Approach to Multicellular Converters Used in Photovoltaic Systems

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