Fuzzy Controller for a Voltage-Regulated Solar-Powered MPPT System for Hybrid Power System Applications

Shiau, Jaw-Kuen; Wei, Yuchen; Lee, Min-Yi

doi:10.3390/en8053292

Cited by 32 publications

(20 citation statements)

References 21 publications

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“…It must be sure that whether the performance of the power module is meet the requirements before testing the amplifier [4][5][6] . Fig 6 shown the Printed Circuit Board(PCB).…”

Section: A Test Of Linear Regulated Power Supply Modulementioning

confidence: 99%

Design of Variable Gain Amplifier Circuit Based on Newton Rings Stress

Chang-li¹,

Wang²,

Chai³

et al. 2015

Proceedings of the International Conference on Chemical, Material and Food Engineering

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Abstract--On the purpose of measuring Newton rings deformation stress and the intelligentialize of the newton rings apparatus, a Variable Gain Amplifier circuit which is based on a low power, general purpose instrumentation amplifiers INA128 offering excellent accuracy was designed to amplify the low frequency and voltage signal from the Pressure sensor. The principle of circuit and the information of chips used were introduced detailedly. Intermediately, problem which appeared in the program of the design had been figured out. Finally, test the performance of the circuit and analyze the experimental data with MATLAB, results were as follws, when the gain is equal to 33.97dB(Magnified 50 times),the bandwidth is up to 599kHz; when the gain is equal to 40dB(Magnified 100 times),the bandwidth is up to 250kHz; when the gain is equal to 53.98dB(Magnified 500 times),the bandwidth is up to 39kHz. key words-gain variable; Amplifier circuit; nstrumentation; newton rings;INA128.

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“…It must be sure that whether the performance of the power module is meet the requirements before testing the amplifier [4][5][6] . Fig 6 shown the Printed Circuit Board(PCB).…”

Section: A Test Of Linear Regulated Power Supply Modulementioning

confidence: 99%

Design of Variable Gain Amplifier Circuit Based on Newton Rings Stress

Chang-li¹,

Wang²,

Chai³

et al. 2015

Proceedings of the International Conference on Chemical, Material and Food Engineering

View full text Add to dashboard Cite

show abstract

“…Additionally, MPPT controllers are widely used in hybrid power systems, in which different control techniques based on neural networks, fuzzy logic and particle swarm optimization have been evaluated. In [29][30][31], the effectiveness of these control techniques was demonstrated in order to achieve a fast and stable response for real power control and power system applications. The implementation of new control and optimization techniques that are detailed in [32][33][34][35] for electrical power and energy systems can be studied in the modeling and implementation of MPPT controllers.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Based MPPT Controller for a PV System

Robles-Algarín¹,

Giraldo²,

Álvarez³

2017

Energies

129

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Abstract:The output power of a photovoltaic (PV) module depends on the solar irradiance and the operating temperature; therefore, it is necessary to implement maximum power point tracking controllers (MPPT) to obtain the maximum power of a PV system regardless of variations in climatic conditions. The traditional solution for MPPT controllers is the perturbation and observation (P&O) algorithm, which presents oscillation problems around the operating point; the reason why improving the results obtained with this algorithm has become an important goal to reach for researchers. This paper presents the design and modeling of a fuzzy controller for tracking the maximum power point of a PV System. Matlab/Simulink (MathWorks, Natick, MA, USA) was used for the modeling of the components of a 65 W PV system: PV module, buck converter and fuzzy controller; highlighting as main novelty the use of a mathematical model for the PV module, which, unlike diode based models, only needs to calculate the curve fitting parameter. A P&O controller to compare the results obtained with the fuzzy control was designed. The simulation results demonstrated the superiority of the fuzzy controller in terms of settling time, power loss and oscillations at the operating point.

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“…Due to that the calculation of these methods is more complicated; these methods are hard to realize using low-cost microcontrollers compared with conventional FLC. Finally, FLC can also be used to assist conventional MPPT techniques such as P&O and incremental conductance methods [22,42,43]. This study investigated an MF design methodology that can improve the effectiveness of FLC-based MPPT methods.…”

Section: Introductionmentioning

confidence: 99%

Optimization of a Fuzzy-Logic-Control-Based MPPT Algorithm Using the Particle Swarm Optimization Technique

et al. 2015

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Abstract:In this paper, an asymmetrical fuzzy-logic-control (FLC)-based maximum power point tracking (MPPT) algorithm for photovoltaic (PV) systems is presented. Two membership function (MF) design methodologies that can improve the effectiveness of the proposed asymmetrical FLC-based MPPT methods are then proposed. The first method can quickly determine the input MF setting values via the power-voltage (P-V) curve of solar cells under standard test conditions (STC). The second method uses the particle swarm optimization (PSO) technique to optimize the input MF setting values. Because the PSO approach must target and optimize a cost function, a cost function design methodology that meets the performance requirements of practical photovoltaic generation systems (PGSs) is also proposed. According to the simulated and experimental results, the proposed asymmetrical FLC-based MPPT method has the highest fitness value, therefore, it can successfully address the tracking speed/tracking accuracy dilemma compared with the traditional perturb and observe (P&O) and symmetrical FLC-based MPPT algorithms. Compared to the conventional FLC-based MPPT method, the obtained optimal asymmetrical

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Fuzzy Controller for a Voltage-Regulated Solar-Powered MPPT System for Hybrid Power System Applications

Cited by 32 publications

References 21 publications

Design of Variable Gain Amplifier Circuit Based on Newton Rings Stress

Design of Variable Gain Amplifier Circuit Based on Newton Rings Stress

Fuzzy Logic Based MPPT Controller for a PV System

Optimization of a Fuzzy-Logic-Control-Based MPPT Algorithm Using the Particle Swarm Optimization Technique

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