Fuzzy PI Control of Symmetrical and Asymmetrical Multilevel Current Source Inverter

Tamilarasi, D.; Sivakumaran, T. S.

doi:10.1007/s40815-017-0352-8

Cited by 6 publications

(2 citation statements)

References 30 publications

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“…Therefore, fuzzy logic control (FLC) techniques that are non-linear have been proposed approach because it includes three main sources from nonlinearity, i.e. base rule, inference engine and jamming units this fuzzy logic-based control model is proven to be a successful approach to the control of many non-linear it has been suggested as an alternative approach for conventional control techniques (PI) and compare the results between the two methods [6]. Many studies have relied on the method of the fuzzy logic controller for use with the photovoltaic system as [6]- [9].…”

Section: Introductionmentioning

confidence: 99%

“…base rule, inference engine and jamming units this fuzzy logic-based control model is proven to be a successful approach to the control of many non-linear it has been suggested as an alternative approach for conventional control techniques (PI) and compare the results between the two methods [6]. Many studies have relied on the method of the fuzzy logic controller for use with the photovoltaic system as [6]- [9]. The fuzzy logic control algorithm (PI-fuzzy) is used to control the current and voltage of the grid-connected inverter by changing the gain (Ki, Kp) of the PI controller, improving the efficiency of the PV system [7]- [10].…”

Section: Introductionmentioning

confidence: 99%

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Power quality improvement of grid-connected photovoltaic systems using PI-fuzzy controller

Ahmed

Mahmood

Numan

2022

IJAPE

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To ensure enhanced reliability and availability of electricity to consumers, grid-connected photovoltaic systems need to improve their power quality, this paper uses a three-phase five levels cascaded H-bridge inverter in grid-connected mode to improve the flexibility and efficiency of the photovoltaic system. Each photovoltaic (PV) array in the proposed system has a maximum power point tracker (MPPT) to extract the PV array maximum power point for a particular irradiance and temperature and reduce the mismatch that causes an imbalance in the power sent from the inverter to the main grid. The fuzzy logic controller is used to tune the proportional-integral (PI) controller to regulate the current and voltage of the grid-connected inverter by changing the gain of the PI controller (Kp, Ki) to obtain a fast response and improve the power quality of the system despite different load disturbances and inputs. The system was simulated in MATLAB/Simulink, and the results show the superiority of the proposed control unit, in which a pure and stable sine output voltage and current waveforms. Finally, the total harmonic distortion (THD) is improved to reach 3.81% based on the fuzzy PI controller, while 7.77% is based on the PI controller.

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Section: Introductionmentioning

confidence: 99%