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29,061 Article Results

Five-level PWM Inverter with a Single DC Power Source for DC-AC Power Conversion

10.11591/ijpeds.v8.i3.pp1212-1219
Suroso Suroso , Abdullah Nur Aziz , Toshihiko Noguchi
This paper presents a circuit configuration of five-level PWM voltage-source inverter developed from the three-level H-bridge inverter using only a single DC input power source. In the proposed five-level inverter, an auxiliary circuits working as the voltage balancing circuits of the inverter’s DC capacitors is presented. The auxiliary circuits work to keep stable DC capacitor voltages of the inverter, and also to reduce the capacitor size of the inverter. The unique point of the proposed balancing circuits is that it needs only a single voltage sensor to control the voltages of the two capacitors in the inverter. Moreover, a minimum number the inverter’s switching devices is also an important feature of the proposed inverter topology. A simple proportional integral controller is applied to control the voltage of the DC capacitors. The proposed topology is tested through computer simulation using PSIM software. Laboratory experimental tests were also conducted to verify the proposed inverter circuits. The computer simulation and experimental test results showed that the proposed balancing circuits works properly keeping stable voltages across the two DC capacitors of the inverter using only a single voltage sensor. The inverter also works well to synthesize a five-level PWM voltage waveform with sinusoidal load current.
Volume: 8
Issue: 3
Page: 1212-1219
Publish at: 2017-09-01

A Fuzzy GA Based STATCOM for Power Quality Improvement

10.11591/ijaas.v6.i3.pp235-243
S. Deepa , K. P. Nithya , C. S. Ajin Sekar , V. Deepalakshmi
This paper deals with various power issues such as voltage sag, swell, harmonics, and surges using static synchronous compensator (STATCOM).The conventional controller suffers from uncertain parameters and non-linear qualities. However they are computationally inefficient extending to optimize the fuzzy controller (FC) parameters, since they exhaustively search the optimal values to optimize the objective functions. To overcome this drawback, a genetic algorithm (GA) based Fuzzy controller parameter optimization is presented in this paper. The GA algorithm is used to find the optimal fuzzy parameters for minimizing the objective functions. The feasibility of the proposed GA technique for distribution systems to improve the sag and total harmonic Distortion (THD) as major power quality indices in sensitive loads at fault conditions has been simulated and tested. Therefore, the multi-objective optimization algorithm is considered in order to attain a better performance in solving the related problems.
Volume: 6
Issue: 3
Page: 235-243
Publish at: 2017-09-01

Modeling of Magnetizing Inrush and Internal Faults for Three-Phase Transformers

10.11591/ijaas.v6.i3.pp203-212
Farhad Namdari , Mohammad Bakhshipour , Behroz Rezaeealam , Mohammad Sedaghat
Among the most noticeable root causes of improper performance in power transformers, internal short circuit faults can be noted and if not quickly be identified and addressed in the accepted time interval, irrecoverable damages such as interruption or even collapse of the network connected to the power transformer would happen. In this contribution, three-phase transformer behaviors under magnetizing inrush, internal short circuit condition and their current values determination have been surveyed using electromagnetic coupling model approach and structural finite element method. Utilizing the definition of transformer in the form of multi-coil and their electromagnetic and electric couple, a three dimensional geometric model of transformer is developed which includes nonlinear characteristics of the transformer, different states of normal and under internal short circuit occurrence and the moment of magnetizing inrush creation are investigated. The comparison between obtained results of presented model simulation with the consequences of practical studies on a typical three phase transformer reveals that the proposed model has a reliable accuracy in detection and modelling the transformer behavior in normal conditions, magnetizing inrush and different types of internal faults. The proposed approach represents an accurate model of a three-phase transformer for protection aims.
Volume: 6
Issue: 3
Page: 203-212
Publish at: 2017-09-01

Induction Motor Drive based on Efficiency Optimisation andDrive Loss Minimization in Real-Time Control of Linkage Flux of Drive Reference

10.11591/ijaas.v6.i3.pp244-257
Farshid Abdolahnejad Baroogh , Milad Gheydi , Payam Farhadi
Induction motor drives are commonly used for applications with vast variations in mechanical load for torques under nominal values. HVAC loads are among these loads. The most ideal scheme for induction motor drive design should include drive loss reduction, or efficiency improvement, proportional to load torque such that optimal performance of drive is not affected. In this paper, using analytical methods, an accurate model is proposed for induction motor drive design. This model allows us to utilize real control and classical control theory for better performance of drive control system. The most damaging mechanical load for induction motor drive is impulse load or so-called periodic load. A scheme proposed for power loss control includes loss control for this type of load, meanwhile, robustness of drive system and stator frequency stability are retained. Main advantages for this scheme are applicability and implementation on various induction motor drives with various powers, without any specific requirements and the least possible computation for the processors.
Volume: 6
Issue: 3
Page: 244-257
Publish at: 2017-09-01

Genetic Algorithm for Grammar Induction and Rules Verification through a PDA Simulator

10.11591/ijai.v6.i3.pp100-111
Hari Mohan Pandey
The focus of this paper is towards developing a grammatical inference system uses a genetic algorithm (GA), has a powerful global exploration capability that can exploit the optimum offspring. The implemented system runs in two phases: first, generation of grammar rules and verification and then applies the GA’s operation to optimize the rules. A pushdown automata simulator has been developed, which parse the training data over the grammar’s rules. An inverted mutation with random mask and then ‘XOR’ operator has been applied introduces diversity in the population, helps the GA not to get trapped at local optimum. Taguchi method has been incorporated to tune the parameters makes the proposed approach more robust, statistically sound and quickly convergent. The performance of the proposed system has been compared with: classical GA, random offspring GA and crowding algorithms. Overall, a grammatical inference system has been developed that employs a PDA simulator for verification.
Volume: 6
Issue: 3
Page: 100-111
Publish at: 2017-09-01

Investigation of Power Quality Improvement in Super Lift Luo Converter

10.11591/ijpeds.v8.i3.pp1240-1250
J Gnanavadivel , N Senthil Kumar , C.N Naga Priya , K.S Krishna Veni
This paper presents the improved single phase AC-DC super lift Luo converter for enhancing quality of power by mitigating the issues. The proposed converter is used for output voltage control, power factor improvement and reduced source current harmonics at supply side. The main intention of this work is to design appropriate closed loop controllers for this AC-DC super lift Luo converter to achieve  unity power factor in the source end. The designed control system comprises of two control loops, voltage control in outer loop and the current controller is devised in the inner loop. Fuzzy controller is used for current controller whereas PI controller as voltage controller. In the MATLAB/SIMULINK platform, simulation of the proposed AC-DC super lift Luo converter is done. It is clear from the simulation results that PI integrated fuzzy controller for voltage and control is proven to be better than classical PI with hysteresis controllers. The proposed system is able to achieve high input power factor along with supply current harmonic distortions of less than 5%.
Volume: 8
Issue: 3
Page: 1240-1250
Publish at: 2017-09-01

Influences of Hybrid Cooling Mechanism through PV System under Solar Simulator Testing

10.11591/ijaas.v6.i3.pp213-220
Y.M. Irwan , A.R. Amelia , M. Irwanto , W.Z. Leow , Z. Syafiqah , I. Safwati
An increasing efficiency of the solar system can be improved by using hybrid cooling mechanism. This paper presents the impact of hybrid cooling mechanism on PV panel under indoor testing with varying solar intensity. Thus, the fabrication of a solar simulator for indoor testing reacts as the space solar radiation is described. The performance of PV panel which attached to a hybrid cooling mechanism compared with PV panel without cooling mechanism under variation of average solar radiation. Experimental tests were carried out for various average solar radiations by varying the number of lamps and/or the lamp-to-area distance. Without altering the spectral distribution, the characteristic of current-voltage of PV panel was analysed under average solar radiation which varied from 202 W/m2 to 1003 W/m2. As the result, the PV panel with hybrid cooling system explored to generate more power output with decreasing in PV panel temperature. About 15.79 % increment of power output generated by PV panel with cooling at maximum average solar radiation. Furthermore, the PV panel temperature also can be decreased about 10.28 % respectively. The combination of DC fan and water pump as cooling mechanism plays an important role in generating efficient power output from PV panel.
Volume: 6
Issue: 3
Page: 213-220
Publish at: 2017-09-01

Brain Image Segmentation using Level Set : An Hybrid Approach

10.11591/ijaas.v6.i3.pp258-267
P Sudharshan Duth , Vimal Viswanath , Pankaj Sreekumar
Advances in medical imaging technologies have given rise for effective diagnostic procedures. The acquisition promptness and resolution enhancements of imaging modalities have given physicians more information, less invasively about their patients. Active contours are used to segment, match and track images of an atomic structure by manipulating constraints derived from the image data together with prior knowledge about the location, size, and shape of these structures. The level set method is referred as a part of active contour family. The major disadvantages of level set method are initialization of controlling parameters and time complexity. The proposed method adopts Robust Spatial Kernel Fuzzy C-Means (RSKFCM) and Lattice Boltzmann Method (LBM) to overcome these drawbacks. RSKFCM is based on standard Fuzzy C-Means algorithm which uses Gaussian RBF kernel function as distance metric and incorporates spatial information. The LBM uses the energy function to determine and reduce the actual processing time which addresses the time complexity. The proposed system combines both RSKFCM and LBM to form a hybrid approach, and the system is tested on a large set of MRI brain images and the experimental results are found to be improved with respect to time complexity.
Volume: 6
Issue: 3
Page: 258-267
Publish at: 2017-09-01

Secure Cloud based Privacy Preserving DataMinning Platform

10.11591/ijeecs.v7.i3.pp830-838
S Kumaraswamy , Manjula S H , K R Venugopal
The adoption of cloud environment for various application uses has led to security and privacy concern of user’s data. To protect user data and privacy on such platform is an area of concern. Many cryptography strategy has been presented to provide secure sharing of resource on cloud platform.  These methods tries to achieve a secure authentication strategy to realize feature such as self-blindable access tickets, group signatures, anonymous access tickets, minimal disclosure of tickets and revocation but each one varies in realization of these features. Each feature requires different cryptography mechanism for realization. Due to this it induces computation complexity which affects the deployment of these models in practical application. Most of these techniques are designed for a particular application environment and adopt public key cryptography which incurs high cost due to computation complexity. To address these issues this work present an secure and efficient privacy preserving of mining data on public cloud platform by adopting party and key based authentication strategy. The proposed SCPPDM (Secure Cloud Privacy Preserving Data Mining) is deployed on Microsoft azure cloud platform. Experiment is conducted to evaluate computation complexity. The outcome shows the proposed model achieves significant performance interm of computation overhead and cost.
Volume: 7
Issue: 3
Page: 830-838
Publish at: 2017-09-01

Review and Comparison of Sensorless Techniques to Estimate the Position and Speed of PMSM

10.11591/ijpeds.v8.i3.pp1062-1069
Yusnida Ahmad Tarmizi , Kasrul Abdul Karim , S. Azura Ahmad Tarusan , Auzani Jidin
Sensorless technique becomes popular nowadays in electrical drive applications specificially for AC motor drive. It is applied to determine and estimate the rotor position especially for PMSM motor. This paper presents the comparison sensorless technique to determine and estimate the position and rotor of PMSM motor. PMSM motor is widely used in industrial and automation due to its high performance motor drive. However, the location of PMSM motor in humidity and harsh environment causing the accuracy of motor is inaccurate due to deterioration of position sensor . Therefore, many sensorless techniques have been proposed by previous researchers in order to solve the problem. This paper presents the review of several categories; Model Based Method, Saliency Based Method and Signal Injection, and Artificial Intelligence Based Estimator. In addition, sensorless techniques on each category have been compared and described in terms of their advantages and disadvantages.
Volume: 8
Issue: 3
Page: 1062-1069
Publish at: 2017-09-01

Water Pumping Using Solar Energy

10.11591/ijaas.v6.i3.pp221-229
Mehimmedetsi Boujemaa , Chenni Rachid
This article defines a simulation model of a simple system based essentially solar pumping of a photovoltaic generator and a DC motor with permanent magnet type of load as the centrifugal pump, in order to optimized the whole system it is necessary introduce a boost converter
Volume: 6
Issue: 3
Page: 221-229
Publish at: 2017-09-01

Performances Analysis of a Linear Motor for Sliding Door Application

10.11591/ijpeds.v8.i3.pp1139-1146
Aymen Lachheb , Jalel Khediri , Lilia El Amraoui
The present work deals to investigate the performance of linear switched reluctance motor designed for a sliding door application. The objective of this paper is to develop an analytical model in order to predict the dynamic behaviour of the studied motor. Firstly, the characteristics of the proposed motor in open loop operation was computed.Secondly, the effect of the load on the response of the motor was investigated. In this context, a two technoque in open loop were adopted to solve the error positioning with load and to damp the oscillation observed in the characteristics of the motor in order to obtain a smooth motion.
Volume: 8
Issue: 3
Page: 1139-1146
Publish at: 2017-09-01

Hybrid Photovoltaic and Wind Power System with Battery Management System using Fuzzy Logic Controller

10.11591/ijaas.v6.i3.pp268-273
M. Venkateshkumar , R. Raghavan
In recent year, the development of hybrid renewable energy sources has the important role of power generation. This paper focused on  design of hybrid PV / Wind power system and its battery management system. The fuzzy logic control based battery management system has been designed for effective power utilization. The proposed control to operate the battery charging and discharging mode during non-linear power generation. The battery will charge whenever the renewable energy power is greater than to consumer load power as well as the battery will discharge whenever the renewable energy power is lesser than to consumer load power. The proposed model will be simulated using Matlab environment and analysis the proposed system results. Finally, simulation results are evaluated and validating the effectiveness of the proposed controller.
Volume: 6
Issue: 3
Page: 268-273
Publish at: 2017-09-01

Identification of a Non-Linear System Using Volterra Series Model with Calculated Kernels by Legendre Orthogonal Function

10.11591/ijaas.v6.i3.pp185-192
Vahid Mossadegh , Mahmood Ghanbari
Modeling and identification of non-linear systems have gained lots of attentions especially in industrial processes. Most of the actual systems have non-linear behavior and the first and simplest solution in modeling such systems is to linearize them which in most cases the result of linearization is not satisfactory. In this paper, modeling of non-linear systems is investigated using Volterra series model based on Legendre orthogonal function. Expansion of Volterra series kernels by Legendre orthogonal functions causes a reduction in the number of model parameters; hence, complexity of calculations would be decreased. Besides, if the free parameter is selected properly in these orthogonal functions, error is reduced and convergence speed of parameters is increased which leads to an increase in identification accuracy. In this paper, identification of non-linear system is presented with Volterra series expanded by Legendre function and PSO algorithm is used to calculate the optimum free parameters of Legendre function. Finally, in order to validate the efficacy and accuracy, the proposed algorithm is implemented on a non-linear system i.e. heat exchanger with actual data
Volume: 6
Issue: 3
Page: 185-192
Publish at: 2017-09-01

Highly effective Security Techniques in OSN Based on Genetic Programming Approach

10.11591/ijaas.v6.i3.pp230-234
Y.N.S.R. Bharadwaj , K. Raja Sekhar
Assurance is one of the grinding centers that enhances when trades get mediated in Online Community Techniques (Online Social Networks). Diverse gatherings of utilization innovation specialists have limited the 'OSN security issue' as one of surveillance, institutional or open security. In taking care of these issues they have moreover overseen them just as they were person. We adapt that the elite security issues are caught and that evaluation on genuine feelings of serenity in Online Social Networks would advantage from a more exhaustive method. Nowadays, points of interest systems mean a critical piece of relationship; by losing security, these organizations will decrease a ton of pleasant areas to see as well. The inside motivation behind subtle elements security (Information Security) is risk control. There are a great deal of discovering works and exercises in security danger control (ISRM, for example, NIST 800-30 and ISO/IEC 27005. Regardless, only few works of appraisal focus on Information Security danger diminishment, while the signs depict normal determinations and suggestions. They don't give any use ideas concerning ISRM; truth be told diminishing the Information Security dangers in questionable conditions is cautious. Subsequently, this papers joined an acquired counts (GA) for Information Security danger loss of weaknesses. Finally, the parity of the associated system was broke down through a reflection.
Volume: 6
Issue: 3
Page: 230-234
Publish at: 2017-09-01
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