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29,905 Article Results

High Performance Vector Control of 3-Phase IM Drives under Open-Phase Fault Based on EKF for Rotor Flux Estimation

10.11591/ijece.v6i2.pp458-467
Mohammad Jannati , Tole Sutikno , Nik Rumzi Nik Idris , Mohd Junaidi Abdul Aziz
This paper proposes a novel flux observer based on Extended Kalman Filter (EKF) for high performance vector control of 3-phase Induction Motor (IM) drives under stator winding open-phase fault. The presented flux estimation combines the Indirect Rotor Field-Oriented Control (IRFOC) method. The rotor flux is obtained from two modified EKF with two different stator currents (forward and backward stator currents). The proposed technique can significantly reduce the DC-offset problem on the pure integrator associated with the basic IRFOC method. The Matlab simulation results confirm the validity of the proposed strategy.
Volume: 6
Issue: 2
Page: 458-467
Publish at: 2016-04-01

Speed Control of a Single Taipei Mass Rapid Transit System Train by Using a Single Input Fuzzy Logic Controller

10.11591/ijece.v6i2.pp621-629
Hari Maghfiroh , Oyas Wahyunggoro , Adha Imam Cahyadi , Kuo Lung Lian , Bwo Ren Ke
The purpose of this study was to design a speed controller for mass rapid transit (MRT) train by using a single input fuzzy logic controller (SIFLC). A complete train model, which was designed according to the design of a Taipei MRT train was used for analyzing both mechanical and electrical parts. The SIFLC was used for improving a fuzzy logic controller (FLC) by reducing its number of control rules. The results indicated that the SIFLC exhibited more favorable performance than the FLC did and a substantial reduction in the number of fuzzy rules and processing time. Therefore, tuning the SIFLC was easier compared with tuning the FLC; furthermore, the simulation time of the SIFLC was shorter than that of the FLC, exhibiting reductions of up to 17.3% in a constant track (track without gradient and curvature) and up to 12.27% in a variable track (track with gradient and curvature).
Volume: 6
Issue: 2
Page: 621-629
Publish at: 2016-04-01

HASBE access control model with Secure Key Distribution and Efficient Domain Hierarchy for cloud computing

10.11591/ijece.v6i2.pp770-777
RajaniKanth Aluvalu , Vanraj Kamliya , Lakshmi Muddana
Cloud computing refers to the application and service that run on a distributed system using virtualized resources and access by common internet protocol and networking standard. Cloud computing virtualizes system by pooling and sharing resources. System and resources can be monitored from central infrastructure as needed. It requires high security because now day’s companies are placing more essential and huge amount of data on cloud. Hence traditional access control models are not sufficient for cloud computing applications. So encryption based on Attribute (“ABE”-“Attribute based encryption”) has been offered for access control of subcontracted data in cloud computing with complex access control policies. Traditional HASBE provides Flexibility, scalability and fine-grained access control but does not support hierarchical domain structure. In this paper, we had enhanced “Hierarchical attribute-set-based encryption” (“HASBE”) access control with a hierarchical assembly of users, with flexible domain Hierarchy structure and Secure key distribution with predefined policy
Volume: 6
Issue: 2
Page: 770-777
Publish at: 2016-04-01

Robust Backstepping Tracking Control of Mobile Robot Based on Nonlinear Disturbance Observer

10.11591/ijece.v6i2.pp901-908
Mahmood Ali Moqbel Obaid , Abdul Rashid Husain , Ali Abdo Mohammed Al-kubati
This paper presents a robust backstepping control (BC) method based on nonlinear disturbance observer (NDOB) for trajectory tracking of the nonholonomic wheeled mobile robot (WMR) in the presence of external disturbances and parameters uncertainties. At first, a bounded Fuzzy logic based backstepping controller (BFLBC) is designed to control the WMR without considering the effects of the external disturbances and the parameters uncertainties. Typically, the conventional BC controller depends upon the state tracking errors analysis, where unbounded velocity signal is produced for the applications that have huge tracking errors. Therefore, a fuzzy logic controller (FLC) is introduced in this research in order to normalize the state tracking errors, so that the input errors to the BC are bounded to a finite interval. Finally, the designed BFLBC is integrated with the nonlinear disturbance observer in order to attenuate the external disturbances and model uncertainties. The simulation results show the effectiveness of the proposed controller to generate a bounded velocity signal as well as to stabilize the tracking errors to zero. In addition, the results prove that the proposed controller provide an excellent disturbance attenuation as well as robustness against the parameters uncertainties.
Volume: 6
Issue: 2
Page: 901-908
Publish at: 2016-04-01

A Review on Photo Voltaic MPPT Algorithms

10.11591/ijece.v6i2.pp567-582
Saravana Selvan , Pratap Nair , Umayal Umayal
A photovoltaic generator exhibits nonlinear voltage-current characteristics and its maximum power point varies with solar radiation and cell temperature. A Dc/Dc power converter is used to match the photovoltaic system to the load and to operate the PV (photo voltaic) cell array at maximum power point. Maximum Power Point Tracking (MPPT) is a process which tracks one maximum power point from PV array input, varying the ratio between the voltage and current delivered to get the most power it can. There are different techniques proposed with lot of algorithms are being used in the MPPT controller to extract the maximum power. It is very difficult for the photo voltaic designers, researchers and academic experts to select a particular MPPT technique for a particular application which requires the background knowledge and comparative features of various MPPT algorithms. This paper will be avaluable source for those who work in the photo voltaic generation, so its objective is to review the main MPPT algorithms in practice and analyzes the merits and demerits with various factors.
Volume: 6
Issue: 2
Page: 567-582
Publish at: 2016-04-01

Energy Efficiency in Cognitive Radio Network: Green Technology Towards Next Generation Networks

10.11591/ijict.v5i1.pp45-50
Seetaiah Kilaru , Adithya gali
Energy efficiency of mobile network is always a challenging task. From the past decade, it is observable that the users who are using multimedia services are increasing in rapid way. These multimedia applications require higher data rates. High data rates will consume more energy of mobile network, which results poor energy efficiency. To meet higher data rates and to achieve energy efficiency, Cognitive Mobile Network with small cell model was explained in this paper. Dynamics of the power grid also have significant impact on mobile networks, hence smart grid implementation was proposed instead of traditional power grid. Most of the existed studies on cognitive mobile network focussed on spectrum sensing only. This paper focussed on cognitive radio network implementation by considering spectrum sensing and smart grid environment. An iterative algorithm was proposed to attain equillibrium condition to the problem. Interference management and energy efficient power allocation were achieved with the introduction of smart grid. Simulation results proved that optimum power allocation and energy efficiency are possible with the introduction of smart grid in cognitive network.
Volume: 5
Issue: 1
Page: 45-50
Publish at: 2016-04-01

Resolving the Issues of Capon and APES Approach for Projecting Enhanced Spectral Estimation

10.11591/ijece.v6i2.pp725-734
Kantipudi MVV Prasad , H.N. Suresh
There are various applications on signal processing that is highly dependent on preciseness and accuracy of the outcomes in spectrum of signals. Hence, from the past two decades the research community has recognized the benefits, significance, as well as associated problems in carrying out a model for spectral estimation. While in-depth investigation of the existing literatures shows that there are various attempts by the researchers to solve the issues associated with spectral estimations, where majority of teh research work is inclined towards addressing problems associated with Capon and APES techniques of spectral analysis. Therefore, this paper introduces a very simple technique towards resolving the issues of Capon and APES techniques. The outcome of the study was analyzed using correlational factor and power spectral density to find the proposed system offers better spectral estimations compared to existing system.
Volume: 6
Issue: 2
Page: 725-734
Publish at: 2016-04-01

Optimal Location of Distributed Generation and its Impacts on Voltage Stability

10.11591/ijece.v6i2.pp504-511
Manoj Kumar Nigam , V.K. Sethi
Distributed generation (DG) technology is based on the renewable sources of energy. Now a day’s distributed generation plays an important role of power generation utilities to fulfill the increasing demand of power at the costumer’s site. A distributed generation is the small generation unit with capacity varying from kW (kilowatt) to few MW (megawatt). The main aim of this paper is to find the solution for optimal location of connecting DG and also the disturbances in the voltage fluctuations responds to imperfection of connecting DG. A test network of IEEE-30 bus system has been simulated using PSAT 2.1.7. The compensation methods have also been developed for filtering out the disturbances caused by the DG connection. The disturbance in the voltage profile is improved by minimizing the real and reactive power losses with the help of STATCOM. The proposed approach IEEE-30-bus system was tested and the result was discussed.
Volume: 6
Issue: 2
Page: 504-511
Publish at: 2016-04-01

A Hybrid Approach of Fuzzy C-means Clustering and Neural network to make Energy-Efficient heterogeneous Wireless Sensor network

10.11591/ijece.v6i2.pp674-681
Amit Kumar Kaushik
The Wireless sensor network has been highly focused research area in recent times due to its wide applications and adaptability to different environments. The energy-constrained sensor nodes are always under consideration to increase their lifetime. In this paper we have used the advantages of two approaches i.e. fuzzy c-means clustering and neural network to make an energy efficient network by prolonging the lifetime of network. The cluster formation is done using FCM to form equally sized clusters in network and the decision of choosing cluster head is done using neural network having input distance from basestation, heterogeneity and energy of the node. Our Approach has successfully increased the lifetime and data capacity of the network and outperformed different approaches applied to the network present in literature.
Volume: 6
Issue: 2
Page: 674-681
Publish at: 2016-04-01

Experiment-based Study on the Impact of Soiling on PV System’s Performance

10.11591/ijece.v6i2.pp810-818
Wan Juzaili Jamil , Hasimah Abdul Rahman , Kyairul Azmi Baharin
Soiling refers to the accumulation of dust on PV modules which plays a small but significant role in degrading solar photovoltaics system efficiency. Its effect cannot be generalized because the severity is location and environment dependent. Currently, there are limited studies available on the soiling effect in the hot and humid Malaysian tropical climate. This paper presents an experimental-based approach to investigate the effect of soiling on PV module performance in a tropical climate. The experiment involved a full day exposure of a polycrystalline PV module in the outdoors with accelerated artificial dust loading and an indoor experiment for testing variable dust dimensions. The findings show that for the worst case, the module’s output can be reduced by as much as 20%.
Volume: 6
Issue: 2
Page: 810-818
Publish at: 2016-04-01

Performance Analysis of Direct Torque Controlled BLDC motor using Fuzzy Logic

10.11591/ijpeds.v7.i1.pp144-151
V. Geetha , S. Thangavel
The Brushless DC motor (BLDC) control is used in many of the applications as it is small in size and with low power which can drive in high speed and lighter compared to other motors.The electric vehicles are built with BLDC motors and also in ships, aerospace etc., The control of BLDC motors is done with sensors like hall effect sensor for sensing the positions. The speed control can be done with normal PI and PID controllers. Direct torque control (DTC) of the BLDC motor is important in many applications. In this paper BLDC motor is controlled with DTC using PI, PID and Fuzzy logic control. The comparison of the performance of the motor is analyzed with the Matlab simulation software.
Volume: 7
Issue: 1
Page: 144-151
Publish at: 2016-03-01

Unification Requirements of Electric Vehicle Charging Infrastructure

10.11591/ijpeds.v7.i1.pp246-253
Khalil Salah , Nazri Kama
By increasing electric vehicles in numbers and getting the public attention, availability, safety and accessibility of its charging infrastructure are key factors to users’ satisfaction. Charging infrastructure in electric vehicle industry can have a role as an interface for exchanging information among other components as well. Currently, lack of universality in electric vehicle industry has caused an isolation in networks of electric vehicles. This isolation will cause difficulty in having an aggregated set of information about electric vehicles and their consumption pattern. The paper reviews current charging infrastructure and the possibility of providing universality based on candidate protocols and technologies.
Volume: 7
Issue: 1
Page: 246-253
Publish at: 2016-03-01

Performance and High Robustness DPC for PWM Rectifier under Unstable Direct Voltage Bus

10.11591/ijpeds.v7.i1.pp66-74
M.S. Djebbar , H. Benalla
This paper proposes a strategy de controlling a static AC/DC converter based on direct power control (DPC). The instantaneous active and reactive power   is controlled in such a way to ensure the PWM rectifier with a sinusoidal current absorption. This control has proven effective in terms of reduction of total harmonic distortion (THD) of current absorbed. Offers a good control of active and reactive power with an operation   at unitary power factor. The test of robustness carried out and the results have proven DPC good performance with strong possibility of  de integrate it into the field of high voltage and high power as electric traction.
Volume: 7
Issue: 1
Page: 66-74
Publish at: 2016-03-01

Novel Active Current Transducers for Diesel Power Stations

10.11591/ijpeds.v7.i1.pp152-158
Denis B. Solovev , Alena E. Merkusheva
Autonomous diesel power plants found the active application at the organization of autonomous power supply of the mining enterprises. In article the problem of increase of efficiency of use of control units is considered by the active power of synchronous generators of diesel power plants. As a solution the new innovative offer in the form of the developed device of the measuring converter of active current which is one of the main components of game-trolno-measuring equipment of diesel power plants is offered. The developed scheme is simpler, in comparison with the similar converters of active current executed on the basis of current transformers. In the developed scheme of the measuring converter it is offered to use the differentiating induction converters of current as primary measuring converters. It allows to reduce many times number of the elements entering the standard scheme, and also mass-dimensional characteristics of the device.
Volume: 7
Issue: 1
Page: 152-158
Publish at: 2016-03-01

Laboratory-Scale Single Axis Solar Tracking System: Design and Implementation

10.11591/ijpeds.v7.i1.pp254-264
Allan Soon Chan Roong , Shin-Horng Chong
This paper presents the design and development of a laboratory-scale single axis solar tracking system. The chronological method was implemented into the system because it has high accuracy and can save more energy as compared to other types of solar tracking system. The laboratory-scale single axis solar tracking system can be used to identify the suitable and safe workspace for the installation of the actual solar tracking system plant. Besides, the validity of the laboratory-scale single axis solar tracking system was examined experimentally. The angle of rotation, per hour is preferable to be implemented into the designed laboratory-scale single axis sun tracking system due to the high performance ratio which is 0.83 and can save the energy up to 25% during sunny days.
Volume: 7
Issue: 1
Page: 254-264
Publish at: 2016-03-01
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