Single Phase Inverter Fuzzy Logic Phase Locked Loop

Sibanyoni, Maxwell; Chowdhury, S.; Ngoma, Louwrance

doi:10.1002/9781119710905.ch4

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…There are numerous techniques to surmount the raised issues, we highlight PLL based on RST controllers [17], fuzzy logic [18], neural networks [19], or Adaline networks [20]. All these techniques fulfill a settlement between good dynamics and network voltage disturbances insensitivity.…”

Section: The Suggested Bpmvf Pllmentioning

confidence: 99%

Robust Voltage Vector-Controlled Three-Phase SAPF-based BPMVF and SVM for Power Quality Improvement

Essoussi,

Moutabir,

Bensassi

et al. 2024

IJRCS

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The multiplication of nonlinear loads leads to significant degradation of the energy quality, thus the interconnection network is subject to being polluted by the generation of harmonic components and reactive power, which causes a weakening efficiency, especially for the power factor. In three-phase systems, they can cause imbalances by causing excessive currents at the neutral. This research treats the operation of robust voltage-oriented control (VOC) for a shunt active power filter (SAPF). The main benefit of this technique is to guarantee a decoupled control of the active and reactive input currents, as well as the input reference voltage. To sustain the DC voltage, a robust PI-structure-based antiwindup is inserted to ensure active power control. Besides, a robust phase-locked loop (PLL)-based bandpass multivariable filter (BPMVF) is used to improve the network voltage quality. Furthermore, a space vector modulation (SVM) is designed to replace the conventional one. A sinusoidal network current and unitary power factor are achieved with fewer harmonics. The harmonics have been reduced from 27.98% to 1.55% which respects the IEEE 519-1992 standard. Expanded simulation results obtained from the transient and steady-state have demonstrated the high performance of the suggested control scheme.

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Section: The Suggested Bpmvf Pllmentioning

confidence: 99%

Robust Voltage Vector-Controlled Three-Phase SAPF-based BPMVF and SVM for Power Quality Improvement

Essoussi,

Moutabir,

Bensassi

et al. 2024

IJRCS

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A modified SOGI-FLL algorithm with DC-offset rejection improvement for single-phase inverter applications

Ardalan

Rasekh

Khaneghah

et al. 2022

Int. J. Dynam. Control

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Adaptive Least Mean Square Controller for Power Quality Enhancement in Solar Photovoltaic System

Karchi

Kulkarni²,

Prado

et al. 2022

Energies

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The objective of the proposed work is to develop a Maximum Power Point Tracking (MPPT) controller and inverter controller by applying the adaptive least mean square (LMS) algorithm to control the total harmonics distortion of a solar photovoltaic system. The advantage of the adaptive LMS algorithm is given by its simplicity and reduced required computational time. The adaptive LMS algorithm is applied to modify the Perturb and Observe (P&O), MPPT controller. In this controller, the adaptive LMS algorithm is used to predict solar photovoltaic power. The adaptive LMS maximum power point tracking controller gives better optimal solutions with less steady error 0.7% (6 watts) and 0% peak overshot in power with the tradeoff being more settling time at 0.33 s. The development of the inverter control law is performed using the d-q frame theory. This helps to reduce the number of equations to build a control law. The load current, grid current and grid voltage are sensed and transformed into d and q components. This adaptive LMS control law is used to extract the reference grid currents and, later, to compare them with the actual grid currents. The result of this comparison is used to generate the switching gate pulses for the inverter switches. The proposed controllers are developed and implemented with a solar PV system in MATLAB Simulink. The total harmonics distortion in grid and load current (3.25% and 7%) and voltage (0%) is investigated under linear and non-linear load conditions with changes in solar irradiations. The analysis is performed by selecting step incremental values and sampling time.

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Single Phase Inverter Fuzzy Logic Phase Locked Loop

Cited by 3 publications

References 19 publications

Robust Voltage Vector-Controlled Three-Phase SAPF-based BPMVF and SVM for Power Quality Improvement

Robust Voltage Vector-Controlled Three-Phase SAPF-based BPMVF and SVM for Power Quality Improvement

A modified SOGI-FLL algorithm with DC-offset rejection improvement for single-phase inverter applications

Adaptive Least Mean Square Controller for Power Quality Enhancement in Solar Photovoltaic System

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