Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

28,188 Article Results

FPGA-Based Implementation Nonlinear Backstepping Control of a PMSM Drive

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/4975
Badre Bossoufi , Mohammed Karim , Ahmed Lagrioui , Mohammed Taoussi
In this paper, we present a new contribution of FPGAs (Field-Programmable Gate Array) for control of electrical machines. The adaptative Backstepping control approach for a permanent magnet synchronous motor drive is discussed and analyzed. We present a Matlab&Simulink simulation and experimental results from a benchmark based on FPGA.  The Backstepping technique provides a systematic method to address this type of problem. It combines the notion of Lyapunov function and a controller procedure recursively. First, the adaptative and no adaptative Backstepping control approach is utilized to obtain the robustness for mismatched parameter uncertainties. The overall stability of the system is shown using Lyapunov technique. The simulation results clearly show that the proposed scheme can track the speed reference. Secondly, some experimental results are demonstrated to validate the proposed controllers. The experimental results carried from a prototyping platform are given to illustrate the efficiency and the benefits of the proposed approach and the various stages of implementation of this structure in FPGA.DOI: http://dx.doi.org/10.11591/ijpeds.v4i1.4645
Volume: 4
Issue: 1
Page: 12-23
Publish at: 2014-12-01

Advanced Control of Wind Electric Pumping System for Isolated Areas Application

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/5030
Mohamed Barara , Abderrahim Bennassar , Ahmed Abbou , Mohammed Akherraz , Badre Bossoufi
The supply water in remote areas of windy region is one of most attractive application of wind energy conversion .This paper proposes an advanced controller suitable for wind-electric pump in isolated applications in order to have a desired debit from variation of reference speed of the pump also the control scheme of DC voltage of SIEG for feed the pump are presented under step change in wind speed. The simulation results showed a good performance of the global proposed control system.DOI: http://dx.doi.org/10.11591/ijpeds.v4i4.6527
Volume: 4
Issue: 4
Page: 567-577
Publish at: 2014-12-01

Dynamic Power Quality Compensator with an Adaptive Shunt Hybrid Filter

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/5024
Sindhu M R , Aneesh P , Manjula G Nair , T N P Nambiar
Major portion of nonlinear loads in industries are contributed by variable speed drives because of their desirable features such as energy saving, smooth control, flexible operation and fast response. These electric drives introduce large amount of current and voltage harmonic distortions at the point of common coupling. These distortions are propagated throughout the system and affect all other loads connected in the system. Hence these distortions are to be mitigated with suitable harmonic filters installed near to the respective load terminals. This paper presents an effective ANN based digital controller for shunt hybrid harmonic filter to provide instantaneous harmonic and reactive compensation. The performance of the adaptive shunt hybrid filter is verified by simulation and experimental studies under steady state and dynamic conditions. The results show that it is an effective, flexible and low rated hybrid filter configuration.DOI: http://dx.doi.org/10.11591/ijpeds.v4i4.6319
Volume: 4
Issue: 4
Page: 508-516
Publish at: 2014-12-01

A Fuzzy Logic Control Strategy for Doubly Fed Induction Generator for Improved Performance under Faulty Operating Conditions

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/5015
G. Venu Madhav , Y. P. Obulesu
In this paper, decouple PI control for output active and reactive powers which is the common control technique for power converter of Doubly Fed Induction Generator (DFIG) is presented. But there are some disadvantages with this control method like uncertainty about the exact model, behavior of some parameters or unpredictable wind speed and tuning of PI parameters. To overcome the mentioned disadvantages a fuzzy logic control of DFIG wind turbine is presented and is compared with PI controller. To validate the proposed scheme, simulation results are presented, these results showed that the performance of fuzzy control of DFIG is excellent and it improves power quality and stability of wind turbine compared to PI controller. The Fuzzy logic controller is applied to rotor side converter for active power control and voltage regulation of wind turbine. The entire work is carried out in MATLab/Simulink. Different faulty operating conditions are considered to prove the effective implementation of the proposed control scheme.DOI: http://dx.doi.org/10.11591/ijpeds.v4i4.5966
Volume: 4
Issue: 4
Page: 419-429
Publish at: 2014-12-01

Analysis of Security Mechanisms in Nigeria E-Banking Platform

https://ijece.iaescore.com/index.php/IJECE/article/view/5540
Ayangbekun Oluwafemi J. , Bankole O. Felix , Saka Badirat A.
Electronic banking system has become an important practice among all banks in Nigeria. The introduction of this electronic banking has improved banking efficiency in rendering sales and services to customer, which is the 24-hour access to cash and retrieval of banking data i.e. statements, transaction details etc. It was in line with this that the studies aim at the Security Mechanisms of E-banking System. Through the cluster sampling technique, data was collected by means of questionnaires from 25 Banks officers and the result shows Electronic Banking is barely secure for the financial institutions. And through the hypothesis carried out in this research, it shows us that all banking transaction can be done anywhere is the world as long as your access device is connected to the internet service through any service provider. This Mechanism was initialized and found to be very effective for securing the banking transactions. It’s being recommended for banks and other financial institutions for maximum security.  With all these in the banking Industry, the bank has an effective electronic banking system which has improve its customer’s relationship and satisfaction. To this end, it is recommended that the bank information and Communication technology training programme should be encourage among all the banks staff, necessary legal codes banking should be established in order to enhance growth of the industry.DOI:http://dx.doi.org/10.11591/ijece.v4i6.6857
Volume: 4
Issue: 6
Page: 837-847
Publish at: 2014-12-01

Identifying Appliances using NIALM with Minimum Features

https://ijece.iaescore.com/index.php/IJECE/article/view/5508
Sunil Semwal , R S Prasad , Pradeep Juneja
Government of India has decided to install smart meters in fourteen states. Smart meters are required to identify home appliances to fulfill various tasks in the smart grid environment. Both intrusive and non-intrusive methods have been suggested for identification. However, intrusive method is not suitable for cost and privacy reasons. On the other hand, techniques using non-intrusive appliance load monitoring (NIALM) are yet to result in meaningful practical implementation. Two major challenges in NIALM research are the choice of features (load signatures of appliances), and the appropriate algorithm. Both have a direct impact on the cost of the smart meter. In this paper, we address the two issues and propose a procedure with only four features and a simple algorithm to identify appliances. Our experimental setup, on the recommended specifications of the internal electrical wiring in Indian residences, used common household appliances’ load signatures of active and reactive powers, harmonic components and their magnitudes. We show that these four features are essential and sufficient for implementation of NIALM with a simple algorithm. We have introduced a new approach of ‘multi point sensing’ and ‘group control’ rather than the ‘single point sensing’ and ‘individual control’, used so far in NIALM techniques.DOI:http://dx.doi.org/10.11591/ijece.v4i6.6715
Volume: 4
Issue: 6
Page: 909-922
Publish at: 2014-12-01

Fuzzy Adaptive Control for Direct Torque in Electric Vehicle

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/5029
Medjdoub khessam , Abdeldejbar Hazzab , Bouchiba Bousmaha , M Bendjima
This paper presents a technique to control the electric vehicle (EV) speed and torque at any curve. Our propulsion model consist of two permanent magnet synchronous (PMSM) motors. The fuzzy adaptive PI controller is used to adjust the different static error constants, as per the speed error. The suggested based on the direct torque fuzzy control (DTFC). A Mamdani type fuzzy direct torque controller is first developed and then rules are modified using stator current membership functions. The computations are ensured by the electronic differential, this driving process permit to steer each driving wheels at any curve separately.Modeling and simulation are carried out using the Matlab/Simulink tool to investigate the performance of the proposed system.DOI: http://dx.doi.org/10.11591/ijpeds.v4i4.6372
Volume: 4
Issue: 4
Page: 557-566
Publish at: 2014-12-01

A Neural Network Based Speed Control of a Dual Star Induction Motor

https://ijece.iaescore.com/index.php/IJECE/article/view/5524
Meliani Bouziane , Meroufel Abdelkader
This paper propose the use of artificial neural networks to control the speed of a Double Star Induction Motor drives fed by a two matrix converter using Venturini modulation algorithm, The advent of the field oriented with modern speed control technique has partially solved DSIM control problems because it is sensitive to drive parameter variations and performance may deteriorate if conventional controllers are used. Neural network based controller is considered as potential candidates for such an application. In this work the simulations results are provided to evaluate performance of the proposed control strategy.DOI:http://dx.doi.org/10.11591/ijece.v4i6.6343
Volume: 4
Issue: 6
Page: 952-961
Publish at: 2014-12-01

A Battery-less Grid Connected Photovoltaic Power generation using Five-Level Common-Emitter Current-Source Inverter

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/5020
Suroso Suroso , Winasis Winasis , Toshihiko Noguchi
Renewable power generation using photovoltaic is very interesting to be developed to deal with the problems of conventional energy sources and environmental issues. The photovoltaic power generation can operate both in stand-alone and grid-connected operations. This paper presents an application of the five-level common-emitter current-source inverter (CE-CSI) for grid connected photovoltaic system without batteries as energy storage system. In the proposed system, the five-level CE-CSI works generating a sinusoidal output current from photovoltaic system to be injected into the power grid. The transformer is used in the system to step-down the grid voltage to meet the voltage level of the photovoltaic system, and also works as a galvanic insulation between the power grid and the inverter system. Two conditions of the power grid voltage, i.e. a pure sinusoidal and a distorted power grid, are tested through computer simulation using PSIM software. Furthermore, experimental test result of the five-level inverter is also presented. The test results show that the five-level CE-CSI works well injecting a sinusoidal current into the power grid with low harmonic contents, and with unity power factor operation. The results also show that the distorted grid voltage affects the harmonic contents of the current injected by the inverter.DOI: http://dx.doi.org/10.11591/ijpeds.v4i4.6464
Volume: 4
Issue: 4
Page: 474-480
Publish at: 2014-12-01

Applications of Particle Swarm Optimization Algorithm to Solving the Economic Load Dispatch of Units in Power Systems with Valve-Point Effects

https://ijece.iaescore.com/index.php/IJECE/article/view/5502
Hossein Shahinzadeh , Sayed Mohsen Nasr-Azadani , Nazereh Jannesari
Reduction of operating costs in power system in order to return the investment costs and more profitability has vital importance in power industry. Economic Load Dispatch (ELD) is one of the most important issues in reducing operating costs. ELD is formulated as a nonlinear optimization problem with continuous variables within the power plants. The main purpose of this problem is optimal planning of power generation in power plants with minimum cost by total units, regarded to equality and inequality constraints including load demand and the range of units' power productivity. In this article, Economic Load Dispatch problem has been modeled by considering the valve-point loading effects with power plants' constraints such as: the balance of production and consumption in system, the forbidden zones, range of production, increasing and decreasing rates, reliability constraints and network security. To solve the problem, Particle Swarm Optimization (PSO) Algorithms has been employed. To evaluate the effectiveness of the proposed method, the problem has been implemented on a power system with 15 generating units and the results have been evaluated.DOI:http://dx.doi.org/10.11591/ijece.v4i6.6720
Volume: 4
Issue: 6
Page: 858-867
Publish at: 2014-12-01

CNC Parametric Optimization for Exercise Equipment Parts Surface Roughness Using TRIZ

10.11591/ijeecs.v12.i12.pp8200-8204
Han-Chen Huang , Cheng-I Hou , Tian-Syung Lan
Product quality is the most important issue in the Computer Numerical Control (CNC) process. Hence, with exercise equipment parts Surface Roughness as the target, this study selected Spindle speed, Cutting depth, Feeding, and Tool runoff, as control parameters in CNC parametric optimization of target quality. By using the Theory of Inventive Problem Solving (TRIZ) to define the Cause and Effect relationship and conflicting points, this study quickly identified an optimal solution, according to TRIZ, and determined factor relevance by cutting control parameters. By the 40 Inventive Principles of TRIZ corresponding to Contradiction Matrix, we obtained the Surface Roughness optimization strategy. The empirical research results suggest that Surface Roughness can actually be improved under the optimal parameter combination. The effectiveness and practicality of the proposed method are verified.
Volume: 12
Issue: 12
Page: 8200-8204
Publish at: 2014-12-01

Fast Data Acquisition of Aerial Images Using Unmanned Aerial Vehicle System

10.11591/ijict.v3i3.pp162-170
Norhadija Darwin , Anuar Ahmad
The present work discusses the technique and methodology of analysing the potential of fast data acquisition of aerial images using unmanned aerial vehicle system. This study utilizes UAV system for large scale mapping by using digital camera attached to the UAV. UAV is developed from the low-altitude photogrammetric mapping to perform the accuracy of the aerial photography and the resolution of the image. The Ground Control Points (GCPs) and Check Points (CPs) are established using Rapid Static techniques through GPS observation for registration purpose in photogrammetric process. The GCPs is used in the photogrammetric processes to produce photogrammetric output while the CP is employed for accuracy assessment. A Pentax Optio W90 consumer digital camera is also used in image acquisition of the aerial photograph. Besides, this study also involves image processing and map production using Erdas Imagine 8.6 software. The accuracy of the orthophoto is determined using the equation of Root Mean Square Error (RMSE). The final result from orthophoto is compared to the ground survey using total station to show the different accuracy of DEM and planimetric survey. It is discovered that root mean square errors obtained from UAV system are ± 0.510, ± 0.564 and ± 0.622 for coordinate x, y and z respectively. Hence, it can be concluded that the accuracy obtained from UAV system is achieved in sub meter. In a nutshell, UAV system has potential use for large scale mapping in field of surveying and other diversified environmental applications especially for small area which has limited time and less man power.
Volume: 3
Issue: 3
Page: 162-170
Publish at: 2014-12-01

Learning Style Classification via EEG Sub-band Spectral Centroid Frequency Features

https://ijece.iaescore.com/index.php/IJECE/article/view/5513
Megat Syahirul Amin Megat Ali , Aisyah Hartini Jahidin , Nooritawati Md Tahir , Mohd Nasir Taib
Kolb’s Experiential Learning Theory postulates that in learning, knowledge is created by the learners’ ability to absorb and transform experience. Many studies have previously suggested that at rest, the brain emits signatures that can be associated with cognitive and behavioural patterns. Hence, the study attempts to characterise and classify learning styles from EEG using the spectral centroid frequency features. Initially, learning style of 68 university students has been assessed using Kolb’s Learning Style Inventory. Resting EEG is then recorded from the prefrontal cortex. Next, the EEG is pre-processed and filtered into alpha and theta sub-bands in which the spectral centroid frequencies are computed from the corresponding power spectral densities. The dataset is further enhanced to 160 samples via synthetic EEG. The obtained features are then used as input to the k-nearest neighbour classifier that is incorporated with k-fold cross-validation. Feature classification via k-nearest neighbour has attained five-fold mean training and testing accuracies of 100% and 97.5%, respectively. Hence, results show that the alpha and theta spectral centroid frequencies represent distinct and stable EEG signature to distinguish learning styles from the resting brain.DOI:http://dx.doi.org/10.11591/ijece.v4i6.6833
Volume: 4
Issue: 6
Page: 931-938
Publish at: 2014-12-01

Stability Analysis of DC-link Voltage Control on Autonomous Micro Hydro Power Plant System

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/5023
Feri Yusivar , M. Shanizal , A. Subiantoro , R. Gunawan
Micro Hydro Power Plant has become one of the interesting topics to be researched nowadays. This paper deals with the stability analysis on control system of excitation voltage in Micro Hydro Power Plant. The control of this voltage can be achieved by controlling the Permanent Magnet Synchronous Machine (PMSM) with particular algorithm so the voltage on the DC-link part of the system can be controlled. Without knowing the exact specification of system parameters, the system will be most likely unstable. The DC-link control system is modeled, simulated, and mathematically analyzed so the parameter specification for the stable system can be obtained.DOI: http://dx.doi.org/10.11591/ijpeds.v4i4.6436
Volume: 4
Issue: 4
Page: 499-507
Publish at: 2014-12-01

Performance Analysis of No Reference Image quality based on Human Perception

https://ijece.iaescore.com/index.php/IJECE/article/view/5517
Subrahmanyam CH , D. Venkata Rao , N. Usha Rani
In this work, a No-Reference objective image quality assessment based on NRDPF-IQA metric and classification based metric are tested using LIVE database, which consisting of Gaussian white noise, Gaussian blur, Rayleigh fast fading channel, JPEG compressed images, JPEG2000 images. We plot the Spearman’s Rank Order Correlation Coefficient [SROCC] between each of these features and human DMOS from the LIVE-IQA database using our proposed method to ascertain how well the features correlate with human judgement quality. The analysis of the testing and training is done by SVM model. The proposed method shows better results compared with the earlier methods. Finally, the results are generated by using MATLAB.DOI:http://dx.doi.org/10.11591/ijece.v4i6.6783
Volume: 4
Issue: 6
Page: 939-943
Publish at: 2014-12-01
1 2 3
...
1879 1880
Show 1634 of 1880

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration