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28,188 Article Results

Speed Sensorless Vector Control of Induction Motor Drive with PI and Fuzzy Controller

10.11591/ijpeds.v5.i3.pp315-325
R. Gunabalan , V. Subbiah
This paper directed the speed-sensorless vector control of induction motor drive with PI and fuzzy controllers.  Natural observer with fourth order state space model is employed to estimate the speed and rotor fluxes of the induction motor. The formation of the natural observer is similar to and as well as its attribute is identical to the induction motor. Load torque adaptation is provided to estimate the torque and rotor speed is estimated from the load torque, rotor fluxes and stator currents. There is no direct feedback in natural observer and also observer gain matrix is absent. Both the induction motor and the observer are characterized by state space model. Simple fuzzy logic controller and conventional PI controllers are used to control the speed of the induction motor in closed loop. MATLAB simulations are made with PI and fuzzy controllers and the performance of fuzzy controller is better than PI controller in view of torque ripples. The simulation results are obtained for various running conditions to exhibit the suitability of this method for sensorless vector control. Experimental results are provided for natual observer based sensorless vector control with conventional PI controller.
Volume: 5
Issue: 3
Page: 315-325
Publish at: 2015-02-01

Feature Selection of the Combination of Porous Trabecular with Anthropometric Features for Osteoporosis Screening

10.11591/ijece.v5i1.pp78-83
Enny Itje Sela , Sri Hartati , Agus Harjoko , Retantyo Wardoyo , Munakhir Mudjosemedi
This study aims to select the important features from the combination of porous trabecular pattern with anthropometric features for osteoporosis screening. The study sample has their bone mineral density (BMD) measured at the proximal femur/lumbar spine using dual-energy X-ray absorptiometry (DXA). Morphological porous features such as porosity, the size of porous, and the orientation of porous are obtained from each dental radiograph using digital image processing. The anthropometric features considered are age, height, weight, and body mass index (BMI). Decision tree (J.48 method) is used to evaluate the accuracy of morphological porous and anthropometric features for selection data. The study shows that the most important feature is age and the considered features for osteoporosis screening are porosity, vertical pore, and oblique pore. The decision tree has considerably high accuracy, sensitivity, and specificity.
Volume: 5
Issue: 1
Page: 78-83
Publish at: 2015-02-01

A Novel and Advanced Data Mining Model based Hybrid Intrusion Detection Framework

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4197
K. Rajasekaran , K. Nirmala
An Intrusion can be defined as any practice or act that attempt to crack the integrity, confidentiality or availability of a resource. This may contain of a deliberate unauthorized attempt to access the information, manipulate the data, or make a system unreliable or unusable. With the expansion of computer networks at an alarming rate during the past decade, security has become one of the serious issues of computer systems. IDS, is a detection mechanism for detecting the intrusive activities hidden among the normal activities. The revolutionary establishment of IDS has attracted analysts to work dedicatedly enabling the system to deal with technological advancements. Hence, in this regard, various beneficial schemes and models have been proposed in order to achieve enhanced IDS. This paper proposes a novel hybrid model for intrusion detection. The proposed framework in this paper may be expected as another step towards advancement of IDS. The framework utilizes the crucial data mining classification algorithms beneficial for intrusion detection. The Hybrid framework would henceforth, will lead to effective, adaptive and intelligent intrusion detection. DOI:  http://dx.doi.org/10.11591/telkomnika.v13i2.7045 
Volume: 13
Issue: 2
Page: 223-231
Publish at: 2015-02-01

Experimental Evaluation of Torque Performance of Voltage and Current Models using Measured Torque for Induction Motor Drives

10.11591/ijpeds.v5.i3.pp433-440
Ibrahim M. Alsofyani , Tole Sutikno , Yahya A. Alamri , Nik Rumzi Nik Idris , Norjulia Mohamad Nordin , Aree Wangsupphaphol
In this paper, two kinds of observers are proposed to investigate torque estimation. The first one is based on a voltage model represented with a low-pass filter (LPF); which is normally used as a replacement for a pure integrator to avoid integration drift problem due to dc offset or measurement error. The second estimator used is an extended Kalman filter (EKF) as a current model, which puts into account all noise problems. Both estimation algorithms are investigated during the steady and transient states, tested under light load, and then compared with the measured mechanical torque. In all conditions, the torque estimation error for EKF has remained within a narrow error band and yielded minimum torque ripples, which motivate the use of the EKF estimation algorithm in high performance control drives of IMs for achieving high dynamic performance.
Volume: 5
Issue: 3
Page: 433-440
Publish at: 2015-02-01

Service Level Agreements in Cloud Computing and Big Data

10.11591/ijece.v5i1.pp158-165
K. Radha , B.Thirumala Rao , Shaik Masthan Babu , K.Thirupathi Rao , V.Krishna Reddy , P. Saikiran
Now-a-days Most of the industries are having large volumes of data. Data has range of Tera bytes to Peta byte. Organizations are looking to handle the growth of data. Enterprises are using cloud deployments to address the big data and analytics with respect to the interaction between cloud and big data. This paper presents big data issues and research directions towards the ongoing work of processing of big data in the distributed environments.
Volume: 5
Issue: 1
Page: 158-165
Publish at: 2015-02-01

Modelling and Analysis of Induction Motor using LabVIEW

10.11591/ijpeds.v5.i3.pp344-354
E. Ramprasath , P. Manojkumar
Induction motor characteristics became complex to study, after the invention of drives where the motor incorporated with power electronic switches such as thyristor, diodes, GTO, and MOSFET. Induction motor characteristics can be studied and modelled with software such as Finite Element Analysis and Laboratory Virtual Instrument Engineering Workbench. Finite Element Analysis is used to study and model the motor might be complex and the time taken to compute was unreliable. In this paper induction motor was modeled with the help of LabVIEW software this allows us to model and simulate the motor in order to analyze the performance. The induction motor modelled here was based on the mathematical equations.
Volume: 5
Issue: 3
Page: 344-354
Publish at: 2015-02-01

A Review to AC Modeling and Transfer Function of DC-DC Converters

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4203
Rahim Ildarabadi , Azadeh Ahmadi
In this paper, AC modeling and small signal transfer function for DC-DC converters are represented. The fundamentals governing the formulas are also reviewed. In DC-DC converters, the output voltage must be kept constant, regardless of changes in the input voltage or in the effective load resistance. Transfer function is the necessary knowledge to design a proper feedback control such as PID control to regulate the output voltage as linear PID and PI controllers are usually designed for DC-DC converters using standard frequency response techniques based on the small signal model of the converter.DOI:  http://dx.doi.org/10.11591/telkomnika.v13i2.7033 
Volume: 13
Issue: 2
Page: 271-281
Publish at: 2015-02-01

Performance Analysis of Transmit Antenna Selection with MRC in MIMO for Image Transmission in Multipath Fading Channels Using Simulink

10.11591/ijece.v5i1.pp119-128
Vaibhav S Hendre , M Murugan , Sneha Kamthe
Multiple antenna configurations can be used to increase the data throughput reducing the effects of multipath fading and interference when channel bandwidth is limited. Orthogonal Space Time Block Codes along with Transmit antenna selection can improve the performance of multiple input multiple output systems. In this paper, we present the Transmit Antenna Selection (TAS) technique based on the Maximal Ratio Combining (MRC) scheme with single antenna selection for image transmission. The performance analysis of the system was carried out under different fading channels i.e. Rayleigh and Rician channel for image input. We design end to end TAS/MRC system in Simulink with advancements in the channel designs and receive diversity techniques along with the feedback models. The Bit Error Rate (BER) analysis was performed for the combinations of number of transmit and receive antennas for TAS/MRC system for various fading environments.
Volume: 5
Issue: 1
Page: 119-128
Publish at: 2015-02-01

Low bit Rate Video Quality Analysis Using NRDPF-VQA Algorithm

10.11591/ijece.v5i1.pp71-77
Subrahmanyam CH , Venkata Rao D , Usha Rani N
In this work, we propose NRDPF-VQA (No Reference Distortion Patch Features Video Quality Assessment) model aims to use to measure the video quality assessment for H.264/AVC (Advanced Video Coding). The proposed method takes advantage of the contrast changes in the video quality by luminance changes. The proposed quality metric was tested by using LIVE video database. The experimental results show that the new index performance compared with the other NR-VQA models that require training on LIVE video databases, CSIQ video database, and VQEG HDTV video database. The values are compared with human score index analysis of DMOS.
Volume: 5
Issue: 1
Page: 71-77
Publish at: 2015-02-01

FPGA Based V/f Control of Three Phase Induction Motor Drives Integrating Super-Lift Luo Converter

10.11591/ijpeds.v5.i3.pp393-403
Elangovan P , Nalin Kant Mohanty
The significance of Elementary Positive Output Super-Lift Luo Converter (EPOSLLC) in constant Voltage/Hertz (V/f) controlled Induction Motor (IM) drive is presented. The traditional IM drive which integrates phase controlled rectifier or boost converter in the facade end upshot tribulations like DC link fluctuations and deprived DC link voltage level. To overcome the problem, the conventional DC-DC converter is replaced with Proportional plus Integral (PI) controlled EPOSLLC in the front end of IM drive that produce the DC link voltage in geometric progression. The Voltage Source Inverter (VSI) of the suggested system renders both open loop and closed loop V/f control scheme for IM by feedback regulated Sinusoidal Pulse Width Modulation (SPWM) technique. Simulation and experimental works are conceded and results presented to demonstrate the viability of the proposed approach. Simulation is carried out using MATLAB /SIMULINK software and the experimental setup is built with Field Programmable Gate Array (FPGA) Spartan-6 processor. The anticipated EPOSLLC is found fit for V/f controlled IM drives considering the DC link Voltage, Speed response of IM and Total Harmonic Distorion (THD) in IM current.
Volume: 5
Issue: 3
Page: 393-403
Publish at: 2015-02-01

A High Gain Observer Based Sensorless Nonlinear Control of Induction Machine

10.11591/ijpeds.v5.i3.pp305-314
Benheniche Abdelhak , Bensaker Bachir
In this paper a sensorless Backstepping control scheme for rotor speed and flux control of induction motor drive is proposed. The most interesting feature of this technique is to deal with non-linearity of high-order system by using a virtual control variable to render the system simple. In this technique, the control outputs can be derived step by step through appropriate Lyapunov functions. A high gain observer is performed to estimate non available rotor speed and flux measurements to design the full control scheme of the considered induction motor drive. Simulation results are presented to validate the effectiveness of the proposed sensorless Backstepping control of the considered induction motor.
Volume: 5
Issue: 3
Page: 305-314
Publish at: 2015-02-01

Similarity and Variance of Color Difference Based Demosaicing

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4199
R. Niruban , T.Sree Renga Raja , R. Deepa
The aim of the project is to find the missing color samples at each pixel location by the combination of similarity algorithm and the variance of colour difference algorithm. Many demosaicing algorithms find edges in horizontal and vertical directions, which are not suitable for other directions. Hence using the similarity algorithm the edges are found in different directions. But in this similarity algorithm sometimes the horizontal and vertical directions are mislead. Hence this problem can be rectified using the variance of colour difference algorithm. It is proved experimentally that this new demosaicing algorithm based on similarity and variance of colouyr difference has better colour peak signal to noise ratio (CPSNR). It has better o0bjective and subjective performance. It is an analysis study of both similarity and colour variance algorithms. DOI: http://dx.doi.org/10.11591/telkomnika.v13i2.7048 
Volume: 13
Issue: 2
Page: 238-246
Publish at: 2015-02-01

Radial Basis Function Network Learning with Modified Backpropagation Algorithm

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4215
Usman Muhammad Tukur , Siti Mariyam Shamsuddin
Radial Basis Function Network (RBFN) is a class of Artificial Neural Network (ANN) that was used in many classification problems in science and engineering. Backpropagation (BP) algorithm is a learning algorithm that was widely used in ANN. However, BP has major disadvantages of slow error rate convergence and always easily stuck at the local minima. Hence, Modified BP algorithm was proposed in this study to improve the learning speed of RBFN using discretized data. C programming language was used to develop the program for the proposed method. Performance measurement of the method was conducted and the experimental results indicate that our proposed method performs better in error rate convergence and correct classification compared to the result with continuous dataset. T-test statistical analysis was used to check the significance of the results and most were found to be satisfactorily significant. DOI: http://dx.doi.org/10.11591/telkomnika.v13i2.7032 
Volume: 13
Issue: 2
Page: 369-378
Publish at: 2015-02-01

Buck-Boost Control of Four Quadrant Chopper using Symmetrical Impedance Network for Adjustable Speed Drive

10.11591/ijpeds.v5.i3.pp424-432
Saswati Swapna Dash , Byamakesh Nayak
This paper proposes buck-boost capabilities of four quadrant chopper for wide range speed control of DC motor drives using symmetrical impedance network called Z-source network. By controlling the shoot through duty ratio from 0 to 0.5 and non-shoot through techniques, the Z-source four quadrant choppers can produce any desired DC voltage across the DC motor. The switching patterns for both buck and boost operations are presented to achieve four modes of operation of DC motor. As a result, the proposed model will have ride through capability during voltage sags, manage during voltage swells, used in any types of DC voltage sources such as fuel cell and solar cell and improve the reliability by reducing EMI noise. Analysis and simulation results are presented to demonstrate these new findings.
Volume: 5
Issue: 3
Page: 424-432
Publish at: 2015-02-01

A Universal Formula for Asymptotic Stabilization with Bounded Controls

10.11591/ijece.v5i1.pp111-118
Muhammad Nizam Kamarudin , Abdul Rashid Husain , Mohamad Noh Ahmad , Zaharuddin Mohamed
Motivated by Artstein and Sontag universal formula, this brief paper presents an explicit proof of the universal formula for asymptotic stabilization and asymptotic disturbance rejection of a nonlinear system with mismatched uncertainties and time varying disturbances. We prove the stability via Lyapunov stability criteria. We also prove that the control law satisfies small control property such that the magnitude of the control signal can be bounded without the catastropic effect to the closed loop stability. For clarity, we benchmark the proposed approach with other method namely a Lyapunov redesign with nonlinear damping function. We give a numerical example to verify the results.
Volume: 5
Issue: 1
Page: 111-118
Publish at: 2015-02-01
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