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This work imparts a control strategy for stand-alone photovoltaic (PV) system by means of fuzzy logic controller (FLC). The objective for this endeavor is to manage the power quality supplied from a PV system mainly in the course of load variation. The controller scheme is consist from voltage-frequency (Vf) control strategy based on a synchronous reference frame and the FLC. The FLC is an intelligent...
This paper presents a novel fuzzy logic controller (FLC) based high performance control of a 3-phase photovoltaic (PV) inverter connected to the grid line. For the proposed control scheme one FLC is used for voltage control and two FLCs are used for current controls. With the aid of the developed inverter model and fuzzy voltage and current control schemes, the digital signal processing (DSP) controller...
This paper presents a scheme for controlling the flow of current from a grid connected photovoltaic (PV) generator while supplying power to the utility grid. The proposed system utilizes a fuzzy logic controller (FLC) to control the injected current through the PV inverter switches. The controller employs error and change of error in current as inputs. In the design, asymmetrical triangular membership...
This paper presents a design of a three-phase voltage source inverter (VSI) using fuzzy logic controller to improve the performance of VSI. In the design of VSI controller, triangular and bell shape membership functions are integrated with seven linguistic variables (LV) for the two inputs and one output controllers. MATLAB/SIMULINK has been utilized to develop the proposed system. Results revealed...
Application of the viable technologies in the new millennium has discovered successfulness in reducing undesirable problems related to power system operation. The advent of computational intelligence methods are mostly assisting to achieve high efficiency for controlling the changing of sophisticated process flow in industrials. Congestion problem in power system is a crucial issue as it leads to...
In this paper, a prototype fuzzy logic based maximum power point tracking (MPPT) controller for photovoltaic (PV) systems is presented. The prototype is a boost converter controlled by dSpace® using DS 1104 boar to control current will be extracted from PV. The current is related to maximum power at the moment. That is the implementation MPPT. This paper show comparison result MPPT using FLC and conventional...
Automated fruit grading in local fruit industries are gradually receiving attention as the use of technology in upgrading the quality of food products are now acknowledged. In this paper, outer surface colors of palm oil fresh fruit bunches (FFB) are analyzed to automatically grade the fruits into over ripe, ripe and unripe. We compared two methods of color grading: (1) using RGB digital numbers and...
This paper presents modeling and simulation of a grid connected photovoltaic (PV) system with maximum power point tracking (MPPT) using a novel fuzzy logic controller (FLC). The system composed of a PV array, boost converter with MPPT and a three phase inverter connected to utility grid. The MPPT is based on fuzzy logic to control IGBT switch of the boost converter. The performance of the proposed...
This paper covers the area of signature recognition and fuzzy logic. It addresses the usage of fuzzy logic to be applied in signature slant recognition. Signature slant is vaguely identifiable and hard to determine for its slant form, in this study, the aim is to distinguish right slant, left slant and vertical slant. As fuzzy can deal with vague and ambiguous terms, it is applied to solve this problem...
Vulnerability Assessment and control are some of the essential requirements for maintaining security of modern power systems, particularly in competitive energy markets. This paper presents intelligent computational techniques for vulnerability assessment of power systems and recommends preventive control measures. Accurate techniques for vulnerability assessment and control of power systems are developed...
In this paper, a hybrid method for cereal grain identification is presented. This method combines a statistical pattern recognition method using morphological and color features and a new method based on the fuzzy logic decision making. The classification is made by the combination of these two methods. We achieved this method to win in precision of the statistical method and in capability of decision...
In this paper, fuzzy logic is applied for identifying and classifying the short duration voltage variations of 8, 32 and 128 cycles waveforms. A program is written in Matlab to determine the parameters such as duration, maximum and minimum root mean square voltages of a disturbance by using the fast Fourier transform analysis. Based on these parameters, a fuzzy inference system has been developed...
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