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Maximum power point tracking using a GA optimized fuzzy logic controller and its FPGA implementation
Maximum power point tracking (MPPT) must usually be integrated with photovoltaic (PV) power systems so that the photovoltaic arrays are able to deliver the maximum power available. In this paperExpand
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FPGA-based implementation of a fuzzy controller (MPPT) for photovoltaic module
This paper describes the hardware implementation of a two-inputs one-output digital Fuzzy Logic Controller (FLC) on a Xilinx reconfigurable Field-Programmable Gate Array (FPGA) using VHDL HardwareExpand
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Modelling of sizing the photovoltaic system parameters using artificial neural network
The objective of this work is to use an artificial neural network (ANN) to predict the sizing parameters of photovoltaic (PV) system with a minimum of input data. A neural network has been trained byExpand
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Fast algorithms for the multidimensional discrete Fourier transform
In this paper, the prime factor algorithm for the evaluation of a one-dimensional discrete Fourier transform is generalized to the evaluation of multidimensional discrete Fourier transforms definedExpand
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Artificial intelligence based P&O MPPT method for photovoltaic systems
The output characteristics of photovoltare arrays are nonlinear and change with the cell's temperature and solar radiation. Maximum power point tracking (MPPT) methods are used to maximize the PVExpand
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Ultrasonic flaw detection using threshold modified S-transform.
Interference noising originating from the ultrasonic testing defect signal seriously influences the accuracy of the signal extraction and defect location. Time-frequency analysis methods are mainlyExpand
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Fusion of Extreme Learning Machine and Graph-Based Optimization Methods for Active Classification of Remote Sensing Images
In this letter, we propose an efficient multiclass active learning (AL) method for remote sensing image classification. We fuse the capabilities of an extreme learning machine (ELM) classifier andExpand
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FPGA-based wireless sensor nodes for vibration monitoring system and fault diagnosis
Abstract The use of wireless sensor networks (WSN) in different applications and domains is constantly growing. In the industrial applications, especially the monitoring of rotating machinery, WSNExpand
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A simple behavioural model for solar module electric characteristics based on the first order system step response for MPPT study and comparison
This paper proposes a simple behavioural model for photovoltaic modules. This model can be used to characterise current–voltage and power–voltage outputs of photovoltaic modules as a function ofExpand
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New neural network and fuzzy logic controllers to monitor maximum power for wind energy conversion system
This work presents a new control strategy to ensure maximum power point tracking for a DFIG (doubly fed induction generator) based WECS (wind energy conversion system). The proposed strategy usesExpand
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