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28,719 Article Results

A Novel Approach to GSA, GA and Wavelet Transform to Design Fuzzy Logic Controller for 1ϕ Multilevel Inverter

10.11591/ijpeds.v7.i4.pp1200-1211
Varsha Singh , S. Gupta , S. Pattnaik , Aarti Goyal
This paper proposes a novel approach for obtaining a closed loop control scheme based on Fuzzy Logic Controller to regulate the output voltage waveform of multilevel inverter. Fuzzy Logic Controller is used to guide and control the inverter to synthesize a stepped output voltage waveform with reduced harmonics. In this paper, three different intelligent soft-computing methods are used to design a fuzzy system to be used as a closed loop control system for regulating the inverter output. Gravitational Search Algorithm and Genetic Algorithm are used as optimization methods to evaluate switching angles for different combination of input voltages applied to MLI. Wavelet Transform is used as synthesizing technique to shape stepped output waveform of inverter using orthogonal wavelet sets. The proposed FLC controlled method is carried out for a wider range of input dc voltages by considering ±10% variations in nominal voltage value. A 7-level inverter is used to validate the results of proposed control methods. The three proposed methods are then compared in terms of various parameters like computational time, switching angles and THD to justify the performance and system flexibility. Finally, hardware based results are also obtained to verify the viability of the proposed method.
Volume: 7
Issue: 4
Page: 1200-1211
Publish at: 2016-12-01

Fibonary Spray and Wait Routing in Delay Tolerant Networks

10.11591/ijece.v6i6.pp3205-3216
Priyanka Das , Prosenjit Chowdhury , Bikash Poudel , Tanmay De
Although there has been a tremendous rise in places being connected through the Internet or any other network protocol, there still lie areas, which remain out of reach due to various reasons. For all such places the answer is a Delay Tolerant Network (DTN). A DTN is such a network where there is no fixed or predefined route for messages and no such guarantee whatsoever of all messages being correctly routed. DTN can be considered as a superset of networks wherein other networks such as adhoc, mobile, vehicular etc. form the subset. Therefore routing in DTN is a very chancy affair where one has to maximize on the present network scenarios to get any fruitful result other than depending on past information. Also protocols here need to be less complex and not increase the already high nodal overhead. In this paper we propose a new approach, the Fibonary Spray and Wait, which does exactly this. It forwards copies of a message in a modified Binary Spray and Wait manner so that it performs well even in non independent and identically distributed node structure. We have supported our statements with mathematical as well as simulation analysis.
Volume: 6
Issue: 6
Page: 3205-3216
Publish at: 2016-12-01

Improved Stator Flux Estimation for Direct Torque Control of Induction Motor Drives

10.11591/ijpeds.v7.i4.pp1049-1060
Yahya Ahmed Alamri , Nik Rumzi Nik Idris , Ibrahim Mohd. Alsofyani , Tole Sutikno
Stator flux estimation using voltage model is basically the integration of the induced stator back electromotive force (emf) signal. In practical implementation the pure integration is replaced by a low pass filter to avoid the DC drift and saturation problems at the integrator output because of the initial condition error and the inevitable DC components in the back emf signal. However, the low pass filter introduces errors in the estimated stator flux which are significant at frequencies near or lower than the cutoff frequency. Also the DC components in the back emf signal are amplified at the low pass filter output by a factor equals to . Therefore, different integration algorithms have been proposed to improve the stator flux estimation at steady state and transient conditions. In this paper a new algorithm for stator flux estimation is proposed for direct torque control (DTC) of induction motor drives. The proposed algorithm is composed of a second order high pass filter and an integrator which can effectively eliminates the effect of the error initial condition and the DC components. The amplitude and phase errors compensation algorithm is selected such that the steady state frequency response amplitude and phase angle are equivalent to that of the pure integrator and the multiplication and division by stator frequency are avoided. Also the cutoff frequency selection is improved; even small value can filter out the DC components in the back emf signal. The simulation results show the improved performance of the induction motor direct torque control drive with the proposed stator flux estimation algorithm. The simulation results are verified by the experimental results.
Volume: 7
Issue: 4
Page: 1049-1060
Publish at: 2016-12-01

Transient Phenomena during the Three-Phase 300MVA Transformer Energization on the Transmission Network

10.11591/ijece.v6i6.pp2499-2505
Emir Alibašić , Predrag Marić , Srete N Nikolovski
Connecting the transformer to the network may incur inrush current, which is significantly higher than the rated current of the transformer. The main cause of this phenomenon lies in the nonlinearity of the magnetic circuit. The value of the inrush current depends of the time moment of the energization and the residual magnetism in the transformer core. While connecting, the operating point of the magnetization characteristic can be found deep in the saturation region resulting in occurrence of large transformer currents that can trigger the transformer protection. Tripping of protection immediately after the transformer energization raises doubts about the transformer health. Inrush current can cause a number of other disadvantages such as the negative impact on other transformers connected on the same busbar; the increase of the transformer noise due to the large current value, the increase of the voltage drops in the network. The paper presents a simulation of the 300 MVA transformer energization using the MATLAB/Simulink software.  
Volume: 6
Issue: 6
Page: 2499-2505
Publish at: 2016-12-01

Photovoltaic System with SEPIC Converter Controlled by the Fuzzy Logic

10.11591/ijpeds.v7.i4.pp1283-1293
Meryem Oudda , Abdeldjebar Hazzab
In this work, a fuzzy logic controller is used to control the output voltage of a photovoltaic system with a DC-DC converter; type Single Ended Primary Inductor Converter (SEPIC). The system is designed for 210 W solar PV (SCHOTT 210) panel and to feed an average demand of 78 W. This system includes solar panels, SEPIC converter and fuzzy logic controller. The SEPIC converter provides a constant DC bus voltage and its duty cycle controlled by the fuzzy logic controller which is needed to improve PV panel’s utilization efficiency. A fuzzy logic controller (FLC) is also used to generate the PWM signal for the SEPIC converter. 
Volume: 7
Issue: 4
Page: 1283-1293
Publish at: 2016-12-01

Signature Verification using Normalized Static Features and Neural Network Classification

10.11591/ijece.v6i6.pp2665-2673
Manish Trikha , Manas Singhal , Maitreyee Dutta
Signature verification is very widely used in verification of the identity of any person. Now a days other biometric verification system has been evolved very widely like figure print, iris etc., but signature verification through computer system is still in development phase. The verification system is either through offline mode or online mode in online systems the dynamic information of a signature captured at the time the signature is made while in offline systems based on the scanned image of a signature. In this paper, a method is presented for Offline signatures Verification, for this verification system signature image is first pre-processed and converted into binary image of same size with 200x200 Pixels and then different features are extracted from the image like Eccentricity, Kurtosis, Skewness etc. and that features are used to train the neural network using back-propagation technique. For this verification system 6 different user signatures are taken to make database of the feature and results are analysed. The result demonstrate the efficiency of the proposed methodology when compared with other existing studies. The proposed algorithm gives False Acceptance Rate (FAR) as 5.05% and False Rejection rate (FRR) as 4.25%.
Volume: 6
Issue: 6
Page: 2665-2673
Publish at: 2016-12-01

On Usable Speech Detection by Linear Multi-Scale Decomposition for Speaker Identification

10.11591/ijece.v6i6.pp2766-2772
Wajdi Ghezaiel , Amel Ben Slimane , Ezzedine Ben Braiek
Usable speech is a novel concept of processing co-channel speech data. It is proposed to extract minimally corrupted speech that is considered useful for various speech processing systems. In this paper, we are interested for co-channel speaker identification (SID). We employ a new proposed usable speech extraction method based on the pitch information obtained from linear multi-scale decomposition by discrete wavelet transform. The idea is to retain the speech segments that have only one pitch detected and remove the others. Detected Usable speech was used as input for speaker identification system. The system is evaluated on co-channel speech and results show a significant improvement across various Target to Interferer Ratio (TIR) for speaker identification system.
Volume: 6
Issue: 6
Page: 2766-2772
Publish at: 2016-12-01

Advance Technology in Application of Four Leg Inverters to UPQC

10.11591/ijpeds.v7.i4.pp1153-1160
K. Venkata Rami Reddy , T. Gowri Manohar , B. Chandra Sekhar
This article presents a novel application of four leg inverter with conventional Sinusoidal Pulse Width Modulation (SPWM) Scheme to Unified Power Quality Conditioner (UPQC). The Power Quality problem became burning issues since the starting of high voltage AC transmission system. Hence, in this article it has been discussed to mitigate the PQ issues in high voltage AC systems through a three phase Unified Power Quality Conditioner (UPQC) under various conditions, such as harmonic mitigation scheme, non linear loads, sag and swell conditions as well. Also, it proposes to control harmoincs with various artificial intelligent techniques. Thus application of these control technique such as Artifical Neural Networks, Fuzzy Logic makes the system performance in par with the standards and also compared with existing system. The simulation results based on MATLAB/SIMULINKTM are discussed in detail to support the concept developed in the paper.
Volume: 7
Issue: 4
Page: 1153-1160
Publish at: 2016-12-01

Microruban Dipole Antenna for RFID Applications at 2.45 GHz

10.11591/ijece.v6i6.pp2891-2899
Loubna Berrich , Lahbib Zenkouar
Radio Frequency Identification (RFID) is a technology used mainly to identify tagged items or to track their locations. The most used antennas for RFID application are planar dipoles. For antenna design, it is necessary that the antenna has an impedance value equal to the conjugate of the impedance of the integrated circuit CI. To have a good adaptation allowing the maximum power transfer, there are several techniques. In this work we focus to the adaptation technical T-match which is based on the insertion of a second folded dipole in the center of the first dipole. This technique is modeled by an equivalent circuit to calculate the size of the folded dipole to have new input impedance of the antenna equal to the conjugate of the impedance of the IC. We also look to present a conceptual and technological approach of new topologies of linear dipoles. We proceeded to fold at right angles of the radiating strands in order to explore other topologiesof type  L and Z. The interest of this microstrip folded dipole is their effectiveness to achieve coverage of Blind directions. The results obtained by the platform Ansoft HFSS, allowed us to obtain a quasi-uniform radiation patterns and the reflection coefficients that exceed -37 dB.
Volume: 6
Issue: 6
Page: 2891-2899
Publish at: 2016-12-01

Modelling of Virtual Synchronous Converter for Grid-inverter Synchronization in Microgrids Applications

10.11591/ijpeds.v7.i4.pp1377-1385
Md. Ruhul Amin , Shamsul Aizam Zulkifli
In this paper, virtual synchronous converter (VSCon) is modelled which behaves as synchronous generator including its all real-time characteristics in operating inverter. This VSCon is used to synchronize grid and inverter while integrating distributed generated power to microgrids. The frequency and voltage synchronization can be controlled by using synchronous generator mathematical model is installed into the inverter. The whole unit of VSCon operated is simulated in Matlab/Simulink for observing all consequences for synchronizing voltage, frequency and phase-angle. It is verified that the next generation energy resources can be integrated into microgrid making synchronization grid-inverter using VSCon. The simulation results are given to verify the concept of modelling VSCon functioning inverter as a synchronous generator. 
Volume: 7
Issue: 4
Page: 1377-1385
Publish at: 2016-12-01

Single-phase Multilevel Inverter with Simpler Basic Unit Cells for Photovoltaic Power Generation

10.11591/ijpeds.v7.i4.pp1233-1239
M. S. Chye , J. A. Soo , Y. C. Tan , M. Aizuddin , S. Lee , M. Faddle , S. L. Ong , T. Sutikno , J. H. Leong
This paper presents a single-phase multilevel inverter (MLI) with simpler basic unit cells. The proposed MLI is able to operate in two modes, i.e. charge mode to charge the batteries, and inverter mode to supply AC power to load, and therefore, it is inherently suitable for photovoltaic (PV) power generation applications. The proposed MLI requires lower number of power MOSFETs and gate driver units, which will translate into higher cost saving and better system reliability. The power MOSFETs in the basic unit cells and H-bridge module are switched at near fundamental frequency, i.e. 100 Hz and 50 Hz, respectively, resulting in lower switching losses. For low total harmonic distortion (THD) operation, a deep scanning method is employed to calculate the switching angles of the MLI. The lowest THD obtained is 8.91% at modulation index of 0.82. The performance of the proposed MLI (9-level) has been simulated and evaluated experimentally. The simulation and experimental results are in good agreement and this confirms that the proposed MLI is able to produce an AC output voltage with low THD.
Volume: 7
Issue: 4
Page: 1233-1239
Publish at: 2016-12-01

Modeling and Simulation of Induction Motor based on Finite Element Analysis

10.11591/ijpeds.v7.i4.pp1100-1109
Yemna Bensalem , Mohamed Naceur Abdelkrim
This paper presents the development of a co-simulation platform of induction motor (IM). For the simulation, a coupled model is introduced which contains the control, the power electronics and also the induction machine. Each of these components is simulated in different software environments. So, this study provides an advanced modeling and simulation tools for IM which integrate all the components into one common simulation platform environment. In this work, the IM is created using Ansys-Maxwell based on Finite Element Analysis (FEA), whereas the power electronic converter is developed in Ansys-Simplorer and the control scheme is build in MATLAB-Simulink environment. Such structure can be useful for accurate design and allows coupling analysis for more realistic simulation. This platform is exploited to analyze the system models with faults caused by failures of different drive’s components. Here, two studies cases are presented: the first is the effects of a faulty device of the PWM inverter, and the second case is the influence of the short circuit of two stator phases. In order to study the performance of the control drive of the IM under fault conditions, a co-simulation of the global dynamic model has been proposed to analyze the IM behavior and control drives. In this work, the co-simulation has been performed; furthermore the simulation results of scalar control allowed verifying the precision of the proposed FEM platform.
Volume: 7
Issue: 4
Page: 1100-1109
Publish at: 2016-12-01

An Improved Constant Voltage Based MPPT Technique for PMDC Motor

10.11591/ijpeds.v7.i4.pp1330-1336
Mohammed Asim , Mohd Tariq , M.A. Mallick , Imtiaz Ashraf
Stand-alone photovoltaic (SAPV) systems are being used in remote areas and are being seen as one of the promising solution in this regard. The SAPV system as presented in the paper consists of solar PV panel, a DC-DC converter, a controller and a PMDC motor. The current-voltage and power-voltage characteristics being nonlinear, the SAPV system require maximum power point techniques (MPPT) control techniques to extract maximum power available from the PV cell. A voltage based MPPT technique which is capable of tracking MPP has been selected because of numerous advantages it offers such as: simple and low cost of implementation. The limitation of constant voltage method is that its efficiency is low as the PV panel has to be disconnected from the load for measurement of the open circuit voltage (Voc). In the presented paper, the authors have removed this limitation by using a pilot PV panel for measurement of Voc. A proportional-integrator (PI) based controller is used in implementation of constant voltage MPP technique and the modeling is done in MATLAB®/SIMULINK simulation environment. The simulation results are presented and discussed in the paper, the results shows that the efficiency of the system has increased.
Volume: 7
Issue: 4
Page: 1330-1336
Publish at: 2016-12-01

Future Tech 5g Virtual Zero Latency

10.11591/ijict.v5i3.pp106-110
Nikitha Nikitha Nikitha
With the point of conveying any data in whenever and anyplace, the people to come (5G) remote communication systems turn into a style theme in the remote examination territories and new waveform, as one of the key empowering advances in 5G physical layer, pulls in developing exploration considerations lately. Be that as it may, the current method for waveform examination or investigation depends on the change of range productivity or use, while the majority of them neglects to research the vitality proficiency conduct, which is appeared to be the key execution metric of 5G frameworks. In this paper, the most part is concentrated on looking over the waveforms from the vitality proficiency perspective. Two classifications of waveforms, specifically channel based waveform and spreading-based waveform, are broke down and the related execution issues are talked about. Besides, we actualize the above waveforms utilizing programming characterized radio based model stage and produce the estimation results for the vitality productivity correlation.
Volume: 5
Issue: 3
Page: 106-110
Publish at: 2016-12-01

Model for Estimating Above Ground Biomass of Reclamation Forest using Unmanned Aerial Vehicles

10.11591/ijeecs.v4.i3.pp586-593
Sri Wahyuni , I Nengah Surati Jaya , Nining Puspaningsih
Among various stand parameters, the density of biomass volume is oftenly used as an indicator on evaluating the forest growth succes. The forest reclamation, which is intended to restore the land cover by revegetation process, the evaluation of biomass content has been a critical issue. Forest reclamation is expected to restore the land function to a proper state that might give better environment as well as productivity. In this study the authors develop a method for estimating above ground biomass (AGB), particularly in the ex open-pit coal mining area of PT. Bukit Asam Tbk using remotely-sended data taken from unmanned aerial vehicle (UAV) and developed using the least squares method. The main objective of this study is to develop a mathematical model of biomass estimation using UAV imagery having 10-cm spatial resolution. The study found that the best model of biomass estimation is: AGB(ton/ha)=0.2377Ci1.3688 with the correlation coefficient of 0.844, mean deviation of 2.29, aggregate deviation of -0.023, bias of 0.98, and Root Mean Square Error (RMSE) of 1.784 and mean deviation (MD) < 10% while Ci. This research concluded that UAV imagery could be used to estimate above ground biomass accurately.
Volume: 4
Issue: 3
Page: 586-593
Publish at: 2016-12-01
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