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27,860 Article Results

Maximum Power Point Tracking for a Grid Connected Photovoltaic System using Sliding Mode Control

10.11591/ijpeds.v8.i4.pp1785-1792
D. Sattianadan , V. Kalyanasundaram , S. Vidyasagar , Deepak Kumar Nayak , Roopam Jha
This paper presents a method to track the maximum power point for an isolated grid connected photovoltaic system. The method used to achieve this goal is sliding mode control. A high frequency flyback converter topology working in continuous conduction mode is used to boost the voltage and also provides galvanic isolation between input and output side. An inverter is used to invert the power for a grid connected operation. Therefore, the primary objective of this study is to design a sliding mode controller which can track maximum power driving a high frequency flyback converter and demonstrate its practicality as a higly efficient maximum power point tracker. This system is modelled and tested in MATLAB SIMULINK. To verify the results a practical implementation of sliding mode controller with high frequency flyback transformer is performed in a hardware setup
Volume: 8
Issue: 4
Page: 1785-1792
Publish at: 2017-12-01

FOPID Controlled Three Stage Interleaved Boost Converter Fed DC Motor Drive

10.11591/ijpeds.v8.i4.pp1771-1775
M.L Bharathi , D. Kirubakaran
Three stage Interleaved boost converter is a good choice between DC source and DC motor. This work deals with enhancement of response of three stage ILBC fed DC motor drive system using FOPID controller. Closed loop ILBCDCM systems controlled by PI & FOPID are modeled and simulated. The results are presented for PI & FOPID controlled ILBCDCM systems. The comparison of response is done in terms of settling time and steady state error in speed of ILBCDCM. The results indicate that FOPID controlled ILBCDCM gives better response than PI controlled ILBCDCM system.
Volume: 8
Issue: 4
Page: 1771-1775
Publish at: 2017-12-01

A Fuzzy Logic Based Mppt Controller For Wind-Driven Three-Phase Self-Excited Induction Generators Supplying Dc Microgrid

10.11591/ijaas.v6.i4.pp325-334
B.Murali Mohan , M.Pala Prasad Reddy , M. Lakshminarayana
In this paper, a straightforward strategy for tracking the maximum power (MP) accessible in the wind energy conversion system for dc microgrid is proposed. A three-phase diode bridge rectifier alongside a dc-dc converter has been utilized between the terminals of wind-driven induction generator and dc microgrid. Induction generator is being worked in self-energized mode with excitation capacitor at stator. The output current i.e., dc grid current act as a control variable to track the MP in the proposed WECS. In this manner, the proposed calculation for maximum power point tracking (MPPT) is autonomous of the machine and wind-turbine parameters. Further, a technique has been created for deciding the obligation proportion of the dc-dc converter for working the proposed system in MPPT condition utilizing wind turbine qualities, relentless state proportionate circuit of prompting generator and power balance in power converters. Circuit straightforwardness and basic control calculation are the significant points of interest of the proposed setup for supplying energy to the dc microgrid from WECS. The fruitful working of the proposed calculation for Fuzzy logic based  MPPT has been shown with broad exploratory results alongside the simulated values.
Volume: 6
Issue: 4
Page: 325-334
Publish at: 2017-12-01

Design and Development of a Shortwave near Infrared Spectroscopy using NIR LEDs and Regression Model

10.11591/ijece.v7i6.pp3070-3075
Kim Seng Chia , Yit Peng Tan
Near infrared (NIR) spectroscopic technology has been getting more attention in various fields. The development of a low cost NIR spectroscopy is crucial to reduce the financial barriers so that more NIR spectroscopic applications will be investigated and developed by means of the NIR spectroscopic technology. This study proposes an alternative to measure shortwave NIR spectrum using one collimating lens, two slits, one NIR transmission grating, one linear array sensor, and one microcontroller. Five high precision narrow bands NIR light emitting diodes (LEDs) were used to calibrate the proposed spectroscopy. The effects of the proposed two slits design, the distance between the grating and linear array sensor, and three different regression models were investigated. The accuracy of the proposed design was cross-validated using leave-one-out cross-validation. Results show that the proposed two slits design was able to eliminate unwanted signals substantially, and the cross-validation was able to estimate the best model with root mean squared error of cross-validation of 3.8932nm. Findings indicate that the cross-validation approach is a good approach to estimate the final model without over-fitting, and the proposed shortwave NIR spectroscopy was able to estimate the peak value of the acquired spectrum from NIR LEDs with RMSE of 1.1616nm.
Volume: 7
Issue: 6
Page: 3070-3075
Publish at: 2017-12-01

Experimental Analysis of Factors Affecting the Power Output of the PV Module

10.11591/ijece.v7i6.pp3190-3197
Arjyadhara Pradhan , Bhagbat Panda
Energy is the driving force in all the sectors as it acts like an index of standard of living or prosperity of the people of the country. However heavy dependence on fossil fuels leads to global warming, hence there is a need for the use of clean, sustainable, and eco friendly form of energy. Among the various types of non-conventional energy solar energy is the fundamental as it is abundant, pollution free and universally available.Even though the main input to the PV system is the solar radiation still there are other factors which affects the efficiency of the pv module. In this paper real time experiment has been conducted to analyze the effect of various factors like irradiance, temperature, and angle of tilt, soiling, shading on the power output of the pv module. Temperature is a negative factor which reduces the efficiency of the module and can be reduced by various cooling arrangements. Presence of dust particles and shading obstructs the incident solar radiations entering the panel and the effect is seen in the iv and pv curve .For better performance solar tracking at maximum power point is suggested to improve the power output of the pv module.
Volume: 7
Issue: 6
Page: 3190-3197
Publish at: 2017-12-01

Classification of Content based Medical Image Retrieval Using Texture and Shape feature with Neural Network

10.11591/ijaas.v6.i4.pp368-374
Sweety Maniar , Jagdish S. Shah
Medical image classification and retrieval systems have been finding extensive use in the areas of image classification according to imaging modalities, body part and diseases. One of the major challenges in the medical classification is the large size images leading to a large number of extracted features which is a burden for the classification algorithm and the resources. In this paper, a novel approach for automatic classification of fundus images is proposed. The method uses image and data pre-processing techniques to improve the performance of machine learning classifiers. Some predominant image mining algorithms such as Classification, Regression Tree (CART), Neural Network, Naive Bayes (NB), Decision Tree (DT) K-Nearest Neighbor. The performance of MCBIR systems using texture and shape features efficient. . The possible outcomes of a two class prediction be represented as True positive (TP), True negative (TN), False Positive (FP) and False Negative (FN).
Volume: 6
Issue: 4
Page: 368-374
Publish at: 2017-12-01

Improved Color Satellite Image Segmentation Using Tsallis Entropy and Granular Computing

10.11591/ijaas.v6.i4.pp293-302
Jagan kumar. N , Agilandeeswari. L , Prabukumar. M
The research work is to improve the segmentation of the color satellite images. In this proposed method the color satellite image can be segmented by using Tsallis entropy and granular computing methods with the help of cuckoo search algorithm. The Tsallis and granular computing methods will used to find the maximum possibility of threshold limits and the cuckoo search will find the optimized threshold values based on threshold limit that is calculated by the Tsallis entropy and granular computing methods and the multilevel thresholding  will used for the segmentation of color satellite images based on the optimized threshold value that will find by this work and these methods will help to select the optimized threshold values for multiple thresholding effectively.
Volume: 6
Issue: 4
Page: 293-302
Publish at: 2017-12-01

Comparison of Modeling and Simulation results Management Micro Climate of the Greenhouse by Fuzzy Logic between a Wetland and Arid region

10.11591/ijaas.v6.i4.pp335-342
Didi Faouzi , N. Bibi-Triki , B. Draoui , A. Abène
Currently the climate computer offers many benefits and solves problems related to the regulation, monitoring and controls. Greenhouse growers remain vigilant and attentive, facing this technological development. they ensure competitiveness and optimize their investments / production cost which continues to grow. The application of artificial intelligence in the industry known for considerable growth, which is not the case in the field of agricultural greenhouses, where enforcement remains timid. it is from this fact, we undertake research work in this area and conduct a simulation based on meteorological data through MATLAB Simulink to finally analyze the thermal behavior -greenhouse microclimate energy . In this paper we present comparison of modeling and simulation management of the greenhouse microclimate by fuzzy logic between a wetland  (Dar El Beida Algeria) and the other arid (Biskra Algeria).
Volume: 6
Issue: 4
Page: 335-342
Publish at: 2017-12-01

A Novel Approach for Space Vector Based PWM Algorithm for Diode Clamped Three level VSI Fed Induction Motor Drive

10.11591/ijpeds.v8.i4.pp1534-1547
Debanjan Roy , Madhu Singh , Tapas Roy
Performance of a voltage source inverter depends on pulse width modulation algorithms. Various algorithms exist for conventional space vector as well as space vector based bus clamped pulse width modulation for multilevel inverter in the literature. In this paper appropriate region selection algorithm for conventional space vector pulse width modulation (CSVPWM) and bus clamped pulse width modulation (BCPWM) techniques are proposed for diode clamped three level voltage source inverter. The proposed techniques are implemented on a three level voltage source inverter fed induction motor drive for open loop operation. The schemes are simulated in MATLAB/SIMULINK environments. The merit of proposed region selection algorithm is tested and verified through simulation result. Further performance comparisons between SVPWM and BCPWM for different modulation index are discussed. 
Volume: 8
Issue: 4
Page: 1534-1547
Publish at: 2017-12-01

Review of Machine Vision Based Insulator Inspection Systems for Overhead Power Distribution System

10.11591/ijaas.v6.i4.pp303-312
P. Surya Prasad , B. Prabhakara Rao
The necessity to have reliable and quality power distribution is increasing, and hence there is great scope for research on automation of distribution system. There are signs of increased research in the work on condition monitoring of insulators during the last few decades. The possible failures can be predicted before they actually occur by using the condition monitoring of cables or any electrical equipment on-line. Those assets such as towers, conductors and insulators which are on the threshold of failure have to be replaced or repaired, so that forced outages reduce. Traditionally the workers who inspect these lines check them in close proximity by going for foot-patrolling and pole-climbing. With an incredible expansion of power distribution network even to remote areas, previously mentioned methods do not seem to be viable. In developed countries aerial patrolling has been adopted to monitor the insulators as an alternative. The development of an efficient method of condition monitoring by using image processing followed by machine learning techniques is found to be a suitable method and thus emerging as a feasible option for real-time implementation. This review paper covers overall aspects of automatic detection of defects of insulator systems of electric power lines and classification into different classes by using vision-based techniques.
Volume: 6
Issue: 4
Page: 303-312
Publish at: 2017-12-01

The Effective Optimization Methods of Port Activity on the Basis of Algorithmic Model

10.11591/ijece.v7i6.pp3578-3582
A. Nyrkov , A. Shnurenko , S. Sokolov , S. Chernyi , V. Korotkov
The article considers the inland waterways (IW) within the international transport corridors as multiphase systems of mass service (SMS) and shows the distinction in calculation of the important indicator of system efficiency - the average total waiting time of vessel service in the serving subsystems, the application of genetic algorithms to increase the efficiency of reloading processes.
Volume: 7
Issue: 6
Page: 3578-3582
Publish at: 2017-12-01

Fault Identification in Sub-Station by Using Neuro-Fuzzy Technique

10.11591/ijaas.v6.i4.pp343-350
Anirudh Yadav , Vinay Kumar Harit
Fault identification and its diagnosis is an important issue in present scenario of power system, as huge amount of electric power is utilized. Random types of faults occur in substation, which leads to irregular and discontinue supply of power from generating to consumer point. Fault detection is an important concept of power system which is to be studied and new method has to develop for fault detection and removal of it. This paper proposed on-line fault detection and identification of fault-type by using Neuro-Fuzzy method in substation. Combination of Artificial Neural Network (ANN) and Fuzzy Logic (FL), results in gaining learning capabilities of fuzzy logic. Variation of current according to fault is used for identification. Fuzzy controller display output condition in form of (0,1).Here, single line-to ground (LG) fault, line-to-line (LL) fault, double line-to ground (LLG)/ LLL fault are considered.
Volume: 6
Issue: 4
Page: 343-350
Publish at: 2017-12-01

Dynamic Key Matrix of Hill Cipher Using Genetic Algorithm

10.11591/ijaas.v6.i4.pp313-318
Andysah Putera Utama Siahaan
The matrix in Hill Cipher was designed to perform encryption and decryption. Every column and row must be inserted by integer numbers. But, not any key that can be given to the matrix used for the process. The wrong determinant result cannot be used in the process because it produces the incorrect plaintext when doing the decryption after the encryption. Genetic algorithms offer the optimized way to determine the key used for encryption and decryption on the Hill Cipher. By determining the evaluation function in the genetic algorithm, the key that fits the composition will be obtained. By implementing this algorithm, the search of the key on the Hill Cipher will be easily done without spending too much time. Genetic algorithms do well if it is combined with Hill Cipher.
Volume: 6
Issue: 4
Page: 313-318
Publish at: 2017-12-01

Advances in Application of Fuzzy sets in electrical engineering

10.11591/ijaas.v6.i4.pp351-358
Aditya Jain , Balakrushna Tripathy
Initially a theory, today fuzzy logic has become an operational technique. Used alongside other advanced control techniques, it is making a discrete but appreciated appearance in various electric systems. In the majority of present-day applications, fuzzy logic allows many kinds of designer and operator qualitative knowledge in electrical automation to be taken into account. Fuzzy logic began to interest the media at the beginning of the nineties. The numerous applications in electrical and electronic household appliances, particularly in Japan, were mainly responsible for such interest. Washing machines not requiring adjustment, camcorders with Steadyshot (TM) image stabilization and many other innovations brought the term “fuzzy logic” to the attention of a wide public.
Volume: 6
Issue: 4
Page: 351-358
Publish at: 2017-12-01

Simulation and Analysis of Multiphase Boost Converter with Soft-Switching for Renewable Energy Application

10.11591/ijpeds.v8.i4.pp1894-1902
A. A. Bakar , M.U. Wahyu , A. Ponniran , T. Taufik
This paper presents the simulation design of dc/dc interleaved boost converter with zero-voltage switching (ZVS). By employin the interleaved structure, the input current stresses to switching devices were reduced and this signified to a switching conduction loss reduction. All the parameters had been calculated theoretically. The proposed converter circuit was simulated by using MATLAB/Simulink and PSpice software programmes. The converter circuit model, with specifications of output power of 200 W, input voltage range from 10~60 V, and operates at 100 kHz switching frequency was simulated to validate the designed parameters. The results showed that the main switches of the model converter circuit achieved ZVS conditions during the interleaving operation. Consequently, the switching losses in the main switching devices were reduced. Thus, the proposed converter circuit model offers advantages of input current stress and switching loss reductions. Hence, based on the designed parameters and results, the converter model can be extended for hardware implementation.
Volume: 8
Issue: 4
Page: 1894-1902
Publish at: 2017-12-01
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