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28,451 Article Results

Improved Torque Control Performance in Direct Torque Control using Optimal Switching Vectors

10.11591/ijpeds.v5.i3.pp441-452
Muhd Zharif Rifqi Zuber Ahmadi , Auzani Jidin , Maaspaliza Azri , Khairi Rahim , Tole Sutikno
This paper presents the significant improvement of Direct Torque Control (DTC) of 3-phases induction machine using a Cascaded H-Bidge Multilevel Inverter (CHMI). The largest torque ripple and variable switching frequency are known as the major problem founded in DTC of induction motor. As a result, it can diminish the performance induction motor control. Therefore, the conventional 2-level inverter has been replaced with CHMI the in order to increase the performance of the motor either in dynamic or steady-state condition. By using the multilevel inverter, it can produce a more selection of the voltage vectors. Besides that, it can minimize the torque ripple output as well as increase the efficiency by reducing the switching frequency of the inverter. The simulation model of the proposed method has been developed and tested by using Matlab software. Its improvements were also verified via experimental results.
Volume: 5
Issue: 3
Page: 441-452
Publish at: 2015-02-01

The Self Exitated Induction Generator with Observation Magnetizing Characteristic in The Air Gap

10.11591/ijpeds.v5.i3.pp355-365
Ridwan Gunawan , Feri Yusivar , Budiyanto Budiyanto
This paper discusses the Self Exitated induction Generator (SEIG) by approaching the induction machine, physically and mathematically which then transformed from three-phase frame abc to-axis frame, direct axis and quadratur-axis. Based on the reactive power demand of induction machine, capacitor mounted on the stator of the induction machine then do the physical and mathematical approach of the system to obtain a state space model. Underknown relationships, magnetization reactance and magnetizing current is not linear, so do mathematical approach to the magnetization reactance equation used in the calculation. Obtained state space model and the magnetic reactance equation is simulated by Runge kutta method of fourth order. The equation of reactance, is simulated by first using the polynomial equation and second using the exponent equation. The load voltage at d axis and q axis using the polynomial laggs 640µs to the exponent equation. The polynomial voltage magnetitude is less than 0.6068 volt from the exponent voltage magnitude
Volume: 5
Issue: 3
Page: 355-365
Publish at: 2015-02-01

IQ Classification via Brainwave Features: Review on Artificial Intelligence Techniques

10.11591/ijece.v5i1.pp84-91
Aisyah Hartini Jahidin , Mohd Nasir Taib , Nooritawati Md Tahir , Megat Syahirul Amin Megat Ali
Intelligence study is one of keystone to distinguish individual differences in cognitive psychology. Conventional psychometric tests are limited in terms of assessment time, and existence of biasness issues. Apart from that, there is still lack in knowledge to classify IQ based on EEG signals and intelligent signal processing (ISP) technique. ISP purpose is to extract as much information as possible from signal and noise data using learning and/or other smart techniques. Therefore, as a first attempt in classifying IQ feature via scientific approach, it is important to identify a relevant technique with prominent paradigm that is suitable for this area of application. Thus, this article reviews several ISP approaches to provide consolidated source of information. This in particular focuses on prominent paradigm that suitable for pattern classification in biomedical area. The review leads to selection of ANN since it has been widely implemented for pattern classification in biomedical engineering.
Volume: 5
Issue: 1
Page: 84-91
Publish at: 2015-02-01

Solving Method of H-Infinity Model Matching Based on the Theory of the Model Reduction

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4204
Li Min Zhi , Cao Xin Jun
People used to solve high-order H model matching based on H control theory, it is too difficult. In this paper, we use model reduction theory to solve high-order H model matching problem, A new method to solve H model matching problem based on the theory of the model reduction is proposed． The simulation results show that the method has better applicability and can get the expected performance． DOI: http://dx.doi.org/10.11591/telkomnika.v13i2.6886
Volume: 13
Issue: 2
Page: 282-286
Publish at: 2015-02-01

Static Characterization of the Birefringence Effect in the Semiconductor Optical Amplifier Using the Finite Difference Method

10.11591/ijece.v5i1.pp38-45
A. Elyamani , A. Zatni , H. Bousseta , A. Moumen
Knowing the various physical mechanisms of the semiconductor optical amplifier (SOA) helps us to develop a more complete numerical model. It also enables us to simulate more realistically the static behavior of the SOAs’ birefringence effect. This way, it allows us to study more precisely the behavior of SOAs, and particularly the impact of the amplified spontaneous emission (ASE) or the pump and probe signals as well as the optical functions based on the non-linearity of the component. In static regime, the SOAs possess a very low amplification threshold and a saturation power of the gain which mainly depends on the optical power injected into the active region. Beyond the optical input power, the SOA is in the saturated gain regime which gives it a nonlinear transmission behavior. Our detailed numerical model offers a set of equations and an algorithm that predict their behavior. The equations form a theoretical base from which we have coded our model in several files.cpp that the Language C++ executes. It has enabled us, from the physical and geometrical parameters of the component, to recover all the relevant values ​​for a comprehensive study of SOAs in static and dynamic regimes. In this paper, we propose to make a static characterization of the effect of the nonlinear polarization rotation by realizing a pump-probe assemblage to control the power and state of polarization at the entering of the SOA.
Volume: 5
Issue: 1
Page: 38-45
Publish at: 2015-02-01

Impact of Harmonics on Power Quality and Losses in Power Distribution Systems

10.11591/ijece.v5i1.pp166-174
M. Jawad Ghorbani , Hossein Mokhtari
This paper investigates the harmonic distortion and losses in power distribution systems due to the dramatic increase of nonlinear loads. This paper tries to determine the amount of the harmonics generated by nonlinear loads in residential, commercial and office loads in distribution feeders and estimates the energy losses due to these harmonics. Norton equivalent modeling technique has been used to model the nonlinear loads. The presented harmonic Norton equivalent models of the end user appliances are accurately obtained based on the experimental data taken from the laboratory measurements. A 20 kV/400V distribution feeder is simulated to analyze the impact of nonlinear loads on feeder harmonic distortion level and losses. The model follows a “bottom-up” approach, starting from end users appliances Norton equivalent model and then modeling residential, commercial and office loads. Two new indices are introduced by the authors to quantize the effect of each nonlinear appliance on the power quality of a distribution feeder and loads are ranked based on these new defined indices. The simulation results show that harmonic distortion in distribution systems can increase power losses up to 20%.
Volume: 5
Issue: 1
Page: 166-174
Publish at: 2015-02-01

Structure of 15-Level Sub-Module Cascaded H-Bridge Inverter for Speed Control of AC Drive Applications

10.11591/ijpeds.v5.i3.pp404-414
R. Uthirasamy , U. S. Ragupathy , R. Naveen
This paper deals with the implementation of a single phase 15-level Sub-Multilevel Cascaded H-Bridge Inverter (SMCHBI) for variable speed industrial drive applications. It consists of sub-multilevel modules and H-bridge inverter configuration. Sub-multilevel switches synthesize stepped DC link voltage and current from the DC sources. H-bridge inverter switches renovate stepped DC link voltage and current into sinusoidal waveform. Compared with conventional Cascaded Multilevel Inverter (CMLI), the proposed system employs the reduced number of power switches, DC sources and gate driver requirements. The proposed system not only reduces the overall system cost but also reduces the voltage stress across the inverter switches. The proposed system does not required additional resonant soft switching circuits for Zero Voltage Switching (ZVS) of inverter. In the proposed method, variable frequency method is adopted for the speed control of industrial induction motor drives. A prototype model of 15-level SMCHB is developed and the performance of the systems is validated experimentally.
Volume: 5
Issue: 3
Page: 404-414
Publish at: 2015-02-01

Decision Support System for the Selection of Courses in the Higher Education using the Method of Elimination Et Choix Tranduit La Realite

10.11591/ijece.v5i1.pp129-135
Made Sudarma , Anak Agung Kompiang Oka Sudana , Irwansyah Cahya
Each year thousands of prospective students attend new student enrollment in universities, which each prospective student have determined the courses that wish to be studied in college. Most of prospective student choose the courses only based on the number of enthusiasts and wishes of parents, and are not based on their academic ability. The impact of this phenomenon is that many of the prospective students chosen to switch courses and not a few of them have been punished dropout. This problem can be solved through the creation of decision support system that has an ability to suggest suitable courses to be selected by the prospective student based on their academic ability. This decision support system solved the problem using the method of elimination et choix tranduit la realite which is presented in web-based application to raise the accessibility by the prospective student.
Volume: 5
Issue: 1
Page: 129-135
Publish at: 2015-02-01

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
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