Investigation on Fuzzy Logic Based Centralized Control in Four-Port SEPIC/ZETA Bidirectional Converter for Photovoltaic Applications

Venmathi, M.; Ramaprabha, R.

doi:10.4316/aece.2016.01008

Cited by 6 publications

(5 citation statements)

References 24 publications

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“…Replacing the previous ueq value into restriction (20) leads to the same inequalities ( 18) and ( 19) analyzed in the previous subsection 2.2.2. Therefore, the equivalent control condition is also fulfilled.…”

Section: Equivalent Control Conditionmentioning

confidence: 66%

“…Therefore, Fakham et al [17] was proposed a voltage control oriented (VOC) where the decomposition of direct and quadrature components allows to correct the power factor and avoid the total harmonic distortion, also controlling the DC voltage bus. Other non-linear controllers were proposed in the literature to provide a voltage regulation in battery chargers, such as fuzzy controllers [6], [19], [20] model predictive controllers (MPC) [21] and sliding mode controllers (SMC) [5], [15], [22]. In particular, the surface of the SMC used for battery chargers, based on high-order converters, frequently requires the measurement of two voltages and two currents to ensure bus stability in both charging and discharging modes, which is the case of the charger controller presented in [23].…”

Section: Introductionmentioning

confidence: 99%

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Sliding-mode controller for a step up-down battery charger with a single current sensor

Villegas-Ceballos

Ramos‐Paja

Henao‐Bravo

2022

IJECE

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This paper proposes a battery charger solution based on the Zeta DC/DC converter to provide a general interface between batteries and microgrid direct current (DC) buses. This solution enables to interface batteries and DC buses with voltage conversion ratios lower, equal, and higher than one using the same components and without redesigning the control system, thus ensuring global stability. The converter controller is designed to require only the measurement of a single inductor current, instead of both inductors currents, without reducing the system flexibility and stability. The controller stability is demonstrated using the sliding-mode theory, and a design procedure for the parameters is developed to ensure a desired bus performance. Finally, simulations and experiments validate the performance of the proposed solution under realistic operation conditions.

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Section: Equivalent Control Conditionmentioning

confidence: 66%

Section: Introductionmentioning

confidence: 99%

Sliding-mode controller for a step up-down battery charger with a single current sensor

Villegas-Ceballos

Ramos‐Paja

Henao‐Bravo

2022

IJECE

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“…Applying a transition to complete the same case will loop one-half of a switching time later. Due to an efficient improvement in the switching frequency, the interleaved boost converter can offer a low winging strength at the input level, thereby the minimizing output and input condenser Cin the filters, which are comparatively high if a traditional boost transformer is used [11].Additionally, the transfer and division of the current between the two arms lead to better stability, minimizing major power losses (I 2 R). Moreover, the changing of the input current between both weapons dramatically reduces power losses by shifting and dividing them (I 2 R).…”

Section: Interleaved Boost Convertermentioning

confidence: 99%

“…Whilst classical MPPT methodologies, including perturbation and observation (P&O), incremental behavior, hill climbing, etc., are capable of tracking MPPs in a consistent shady state, global PSC-MPPs cannot [3][4][5][6][7][8][9]. Though some writers [10][11][12][13][14][15] have focused on intelligence techniques such as an ANN Symmetry 2023, 15, 1339 2 of 14 structure or a fuzzy structure to achieve a PSC's highest strengths, they require adequate planning and method-based formulations. Due to their precision and system independence, metaheuristic MPPT techniques have recently become popular [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Grey Wolf Optimization and Fed Fast Terminal Sliding Mode Controllers Based on Interleaved Boost Converters for Symmetric PV Systems under Asymmetric Partial Shading

Sekar,

Arasan,

Chandrasekaran

2023

Symmetry

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This research articles proposes a comparative symmetric examination of the four maximum-power point-tracking algorithms under partial shaded conditions, including Conservative MPPT, Grey Wolf Optimization, and Fast Terminal Sliding Mode MPPT. In addition, the genetic algorithm MPPT, particle-swarm optimization MPPT, Grey Wolf optimization MPPT, and perturb and observe MPPT are included in this study. A smart method was to use Fast Terminal Sliding Mode Grey Wolf Optimization algorithms under partly shadowed situations on a global MPPT. This study included a GWO methodology that successfully set the efficient FTSM controller parameters such that the global maximum-power photovoltaic (PV) device point-tracking was monitored under partial shading. In the MATLAB setting and test performance, it was programmed for the suggested methodology of changing the shade pattern status dynamically. The findings were assessed and compared with other symmetric algorithms. Unlike other algorithms, the methodology used herein wasa less accurate way to monitor a global MPP. These methods were also evaluated and contrasted with PV arrays under various partial shadowing circumstances. The experimental investigations were used to verify the control techniques and stability analysis based on the asymmetric nonlinear load method of analysis in a closed-loop design.

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“…The PID controllers are associated with high time delay process. In Fuzzy based controller, the output from control block is obtained using rule base selection [19][20]. The rule base is framed taking past experiences as basis and selection of rule is carried out randomly.…”

Section: Introductionmentioning

confidence: 99%

Performance Enhancement of a Single-Stage CUK Based Three Phase Photovoltaic Inverter using Anfis Controller

Annapoorani¹,

Jayaparvathy²,

Priyanka³

2019

IJITEE

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A modular structured and high efficient photovoltaic (PV) system is essential in today’s scenario. The single stage Cuk based inverter has continuous input and output current, and hence, makes it suitable for applying MPPT techniques when used for PV applications. The PI, PID, and fuzzy controllers could be applied for PV inverter. The PI controller decreases the error in steady state, and at the same time, it also decreases the stability of the system. The PID controller involves large time delay process. The random nature in fuzzy controller may not lead to optimum results. Hence, this paper proposes a controller based on Adaptive Neuro-Fuzzy Inference System (ANFIS) for a three phase PV inverter based on Cuk converter. The effectiveness of proposed system is verified using MATLAB/SIMULINK, and the results are presented. The performance of proposed ANFIS controller for Cuk based three phase inverter is compared with conventional PI controller. The proposed system has several merits like increased performance, accuracy, and efficiency.

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Investigation on Fuzzy Logic Based Centralized Control in Four-Port SEPIC/ZETA Bidirectional Converter for Photovoltaic Applications

Cited by 6 publications

References 24 publications

Sliding-mode controller for a step up-down battery charger with a single current sensor

Sliding-mode controller for a step up-down battery charger with a single current sensor

Grey Wolf Optimization and Fed Fast Terminal Sliding Mode Controllers Based on Interleaved Boost Converters for Symmetric PV Systems under Asymmetric Partial Shading

Performance Enhancement of a Single-Stage CUK Based Three Phase Photovoltaic Inverter using Anfis Controller

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