Fuzzy Logic Controller Based Perturb and Observe Maximum Power Point  Tracking

Al-Nabulsi, A.; Dhaouadi, Rached

doi:10.24084/repqj10.615

Cited by 16 publications

(8 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fuzzy logic control (FLC) algorithm is the most popular among them since it is simple and practical to be implemented. It has been implemented with notable improvement in efficiency or maximum power ratio [29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Development of adaptive perturb and observe‐fuzzy control maximum power point tracking for photovoltaic boost dc–dc converter

Zainuri¹,

Radzi²,

Soh³

et al. 2014

IET Renewable Power Generation

234

100

View full text Add to dashboard Cite

This study presents an adaptive perturb and observe (P&O)-fuzzy control maximum power point tracking (MPPT) for photovoltaic (PV) boost dc-dc converter. P&O is known as a very simple MPPT algorithm and used widely. Fuzzy logic is also simple to be developed and provides fast response. The proposed technique combines both of their advantages. It should improve MPPT performance especially with existing of noise. For evaluation and comparison analysis, conventional P&O and fuzzy logic control algorithms have been developed too. All the algorithms were simulated in MATLAB-Simulink, respectively, together with PV module of Kyocera KD210GH-2PU connected to PV boost dc-dc converter. For hardware implementation, the proposed adaptive P&O-fuzzy control MPPT was programmed in TMS320F28335 digital signal processing board. The other two conventional MPPT methods were also programmed for comparison purpose. Performance assessment covers overshoot, time response, maximum power ratio, oscillation and stability as described further in this study. From the results and analysis, the adaptive P&O-fuzzy control MPPT shows the best performance with fast time response, less overshoot and more stable operation. It has high maximum power ratio as compared to the other two conventional MPPT algorithms especially with existing of noise in the system at low irradiance.

show abstract

Section: Introductionmentioning

confidence: 99%

Development of adaptive perturb and observe‐fuzzy control maximum power point tracking for photovoltaic boost dc–dc converter

Zainuri¹,

Radzi²,

Soh³

et al. 2014

IET Renewable Power Generation

234

100

View full text Add to dashboard Cite

show abstract

“…There Here in this method fuzzy logic control is combined with the hill climbing method to eliminate the disadvantage of both the method. Fuzzy logic controller will take care of the dynamic characteristic [4], [5], [10] of the PV panel while hill climbing algorithm will take care of the static characteristic of the PV panel, that is fuzzy logic controller will used in the changing weather condition while hill climbing algorithm used in constant weather condition. This method will improve the tracking speed compare to the conventional methods of fuzzy logic and hill climbing method.…”

Section: Solar Cell Panelmentioning

confidence: 99%

Load Frequency Control of a Two Area Hybrid System Consisting of a Grid Connected Pv System and Thermal Generator

Tomy¹

2014

IJRET

View full text Add to dashboard Cite

Load frequency control of the hybrid system consisting photovoltaic system and thermal generator is performed in this paper. In this paper Maximum Power Point Tracking is performed in photovoltaic using modified hill climbing algorithm. Modified hill climbing is performed by combining fuzzy logic with hill climbing algorithm. The converter used is Boost converter. DC output obtained is converted to AC output by using single phase inverter. Grid connection is performed by using sinusoidal pulse width modulation. Transfer function model of the whole system is created. Transfer function model of the thermal generator is interfaced with the photovoltaic system to create two area systems. Load frequency controls of this two area system are performed. The simulation of the entire system is performed in the MATLAB SIMULINK.

show abstract

“…There are many MPPT techniques could be found in literatures: Perturb and Observe (P & O) [4][5][6]; Incremental Conductance (IC) [7]; Fuzzy Logic [8], [9]; and Artificial Neural Network [10], [11]. The P&O method is widely used because of the simplicity and easy to be implemented.…”

Section: Introductionmentioning

confidence: 99%

“…In [4] and [6], they implemented the hardware of MPPT controller based on a microcontroller system. A Digital Signal Processor (DSP) module was employed in [5] and [9]. Software modeling was used in [7], [8], [10], [11].…”

Section: Introductionmentioning

confidence: 99%