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An efficient method to improve the clustering performance using hybrid robust principal component analysis-spectral biclustering in rainfall patterns identification

10.11591/ijai.v8.i3.pp237-243
Shazlyn Milleana Shaharudin , Shuhaida Ismail , Siti Mariana Che Mat Nor , Norhaiza Ahmad
In this study, hybrid RPCA-spectral biclustering model is proposed in identifying the Peninsular Malaysia rainfall pattern. This model is a combination between Robust Principal Component Analysis (RPCA) and biclustering in order to overcome the skewness problem that existed in the Peninsular Malaysia rainfall data. The ability of Robust PCA is more resilient to outlier given that it assesses every observation and downweights the ones which deviate from the data center compared to classical PCA. Meanwhile, two way-clustering able to simultaneously cluster along two variables and exhibit a high correlation compared to one-way cluster analysis. The experimental results showed that the best cumulative percentage of variation in between 65%-70% for both Robust and classical PCA. Meanwhile, the number of clusters has improved from six disjointed cluster in Robust PCA-kMeans to eight disjointed cluster for the proposed model. Further analysis shows that the proposed model has smaller variation with the values of 0.0034 compared to 0.030 in Robust PCAkMeans model. Evident from this analysis, it is proven that the proposed RPCA-spectral biclustering model is predominantly acclimatized to the identifying rainfall patterns in Peninsular Malaysia due to the small variation of the clustering result.
Volume: 8
Issue: 3
Page: 237-243
Publish at: 2019-09-01

Pulse train stability in passively Mode-locked Erbium-doped fiber laser with a nonlinear polarization rotation

10.11591/ijeecs.v15.i3.pp1212-1216
Nur Ameelia Abdul Kadir , Nurul Alina Afifi Norizan , Azura Hamzah
A nonlinear polarization rotation technique-based mode-locked erbium-doped fiber laser has been experimentally demonstrated using a 0.75 m long highly concentrated erbium-doped fiber as the gain medium. With unintentional polarization dependent loss induced by twisting single-mode fiber in an intracavity polarization controller, the optical output of the laser shifts from continuous wavelength to modelocked soliton pulse. A stable and cleaner pulse with a repetition rate of 15.32 MHz laser wavelengths and a pulse energy of 0.496 nJ with optical signal-to noise ratio of more than 33 dB are successfully obtained using a simple ring cavity.
Volume: 15
Issue: 3
Page: 1212-1216
Publish at: 2019-09-01

Single-bit modulator for wireless power transfer system

10.11591/ijpeds.v10.i3.pp1270-1280
Dhafer Almakhles , Akshya Swain , Umashankar Subramaniam
This paper proposes a single-bit ADC system based Proportional and Integral (PI) controller to maintain a desired level of power transfer efficiency in Capacitive Power Transfer (CPT) systems. In this paper, a simple single-bit ADC system i.e., Single-Bit Modulator (SBM) is considered as an alternative to the commonly used multi-bit ADC systems. Unique features of employing SBM are 1) its ability to convert analog signals into single-bit signals and 2) its easy integrability in digital chips with linear variable differential transformers (LVDTs) such as FPGAs. A SBM based PI (SBM-PI) controller is designed to judicially interface with the single-bit output of SBM. The proposed (SBM-PI) controller guarantees less hardware resources, latency and regulates the output voltage to provide the desired power transfer efficiency. The behavior of SBM-PI controller is compared to that of a conventional multi-bit controller, with the results of both controllers being identical. The effectiveness of the proposed controller with SBM is further demonstrated using the experimental prototype of CPT by implementing a SBM-PI controller using $16$ MHz ATmega8 microcontroller. The experimental results from a laboratory prototype illustrate that SBM-PI controller successfully regulates the output voltage of CPT to control the power flow.
Volume: 10
Issue: 3
Page: 1270-1280
Publish at: 2019-09-01

Novel DTC induction machine drive improvement using controlled rectifier for DC voltage tuning

10.11591/ijpeds.v10.i3.pp1223-1228
Nour Mohamed , Tedjini Hamza , Gasbaoui Brahim
The application of the direct torque control strategy for induction machine drives is mainly characterized by torque and flux distortions caused by voltage vector limitation. The goal of this paper is to perform the conventional DTC induction machine drives and reduce ripples of both flux and torque response. The proposed contribution is based on the control of the DC output side of the rectifier feeding the voltage source inverter by means of PI controller in order to adapt the voltage vector used in typical DTC switching table. Mathematic models are built using MATLAB Simulink and programming environment; the simulation results show the difference between the proposed method and classical DTC.
Volume: 10
Issue: 3
Page: 1223-1228
Publish at: 2019-09-01

Detailed modeling of two diode photovoltaic module using MATLAB simulik

10.11591/ijpeds.v10.i3.pp1603-1612
Habbati Bellia Assia , Moulay benine Fatima
This paper proposes an accurate model of Photovoltaic Module. The model is presented in details and simulated by Matlab Simulink. The PV module is presented as a two diode model with the series’ and parallels’ resistances. The method is used to obtain the parameters of the module by using data provided by the manufacturer. To verify the accuracy of the proposed model, a comparison is done between the present results and those in a previous paper in which the single diode detailed model was studied. The same type of modules (PWX 500) is used to compare and validate results. The weather data as illumination and temperature are taken as input variables when current and Power are output variables. For the validation of the proposed model, it is used to power a resistive load by using a boost converter controlled by à Maximum Power Point Tracking method. The proposed method is very detailed and can be useful for PV researchers for their works.
Volume: 10
Issue: 3
Page: 1603-1612
Publish at: 2019-09-01

A multiple mitosis genetic algorithm

10.11591/ijai.v8.i3.pp252-258
K. Kamil , K. H Chong , H. Hashim , S. A. Shaaya
Genetic algorithm is a well-known metaheuristic method to solve optimization problem mimic the natural process of cell reproduction. Having great advantages on solving optimization problem makes this method popular among researchers to improve the performance of simple Genetic Algorithm and apply it in many areas. However, Genetic Algorithm has its own weakness of less diversity which cause premature convergence where the potential answer trapped in its local optimum. This paper proposed a method Multiple Mitosis Genetic Algorithm to improve the performance of simple Genetic Algorithm to promote high diversity of high-quality individuals by having 3 different steps which are set multiplying factor before the crossover process, conduct multiple mitosis crossover and introduce mini loop in each generation. Results shows that the percentage of great quality individuals improve until 90 percent of total population to find the global optimum.
Volume: 8
Issue: 3
Page: 252-258
Publish at: 2019-09-01

Fault detection and classification in wind turbine by using artificial neural network

10.11591/ijpeds.v10.i3.pp1687-1693
N. F. Fadzail , S. Mat Zali
Wind turbine is one of the present renewable energy sources that has become the most popular. The operational and maintenance cost is continuously increasing, especially for wind generator. Early fault detection is very important to optimise the operational and maintenance cost. The goal of this project is to study fault detection and classification for a wind turbine (WT) by using artificial neural network (ANN). In this project, a single phase fault was placed at 9 MW doubly-fed induction generator (DFIG) WT in MATLAB Simulink. The WT was tested under different conditions, i.e., normal condition, fault at Phase A, Phase B and Phase C. The simulation results were used as inputs in the ANN model for training. Then, a new set of data was taken under different conditions as inputs for ANN fault classifier. The target outputs of ANN fault classifier were set as ‘0’ or ‘1’, based on the fault condition. Results obtained showed that the ANN fault classifier outputs had followed the target outputs. In conclusion, the WT fault detection and classification method by using ANN were successfully developed.
Volume: 10
Issue: 3
Page: 1687-1693
Publish at: 2019-09-01

A bidirectional resonant converter based on wide input range and high efficiency for photovoltaic application

10.11591/ijpeds.v10.i3.pp1469-1475
Ibrahim Alhamrouni , M. R. Bin Hamzah , Mohamed Salem , Awang Jusoh , Azhar Bin Khairuddin , Tole Sutikno
This work highlights a modular power conditioning system (PCS) in photovoltaic (PV) applications which consists with a DC-DC converter. The converter is able to regulate and amplify the input DC voltage produced by the PV panal. The implementation of Mosfet as bidirectional switch on the converter yields greater conversion ratio and better voltage regulation than a conventional DC-DC step up converter and PWM resonant converter. It also reduces the switching losses on the output DC voltage of the converter, as the MOSFET switches on primary winding of converter switch on under ZVS conditions. The proposed resonant converter has been designed, with the modification of series resonant converter and PWM boost converter that utilizes the high frequency of AC bidirectional switch to eliminate the weaknesses of used converters. The topology of the proposed converter includes the mode of operations, designing procedure and components selection of the new converter elements. This topology provides a DC output voltage to the inverter at range of about 120Vac-208 Vac. 
Volume: 10
Issue: 3
Page: 1469-1475
Publish at: 2019-09-01

A novel control strategy for power quality improvement in grid-connected solar photovoltaic system

10.11591/ijeecs.v15.i3.pp1264-1272
Pankaj Gakhar , Manoj Gupta
In this paper, a novel and dynamic, current control based inverter control strategy has been used for energy optimization and power quality improvement in a grid-connected solar photovoltaic plant using a PI controller. The output of the plant is delivered to the grid passing through a boost converter controlled by an MPPT controller and an inverter. The control strategy proposed offers the flexibility to keep control of active as well as reactive power being injected straight into the grid and also helps in mitigating the total harmonic distortion levels. Also, the effect of the conventional PI controller and PI controller optimized through Genetic Algorithm has been compared. The GA-PI controller has been found effective in reducing the Total Harmonic Distortion in the current injected in the grid. The effectiveness of the work has been observed by using a MATLAB/SIMULINK environment.
Volume: 15
Issue: 3
Page: 1264-1272
Publish at: 2019-09-01

Comparison of different magnet arrangement on performance of flux reversal permanent magnet (FRPM) machine

10.11591/ijpeds.v10.i3.pp1207-1214
M. H. Remlan , R. Aziz , S Salimin
This paper offers the analysis of performance of Flux Reversal Permanent Magnet (FRPM) machines with different type of magnet arrangements. There are two designs that have been proposed in this report, which one of them has a pair of permanent magnets (PM) with alternate polarities place on surface of stator tooth and the polarities of two adjacent PM at these two stators are identical. This PM arrangement is called as NS-SN configuration. Second design is NS-NS configuration that has different PM polarities on different stator tooth. By comparing this PM arrangement, generally the NS-NS configuration offers high speed and power. However, the NS-SN configuration shows higher maximum torque compared to the previous design. The design process for both configurations is completely using finite element analysis (FEA) which is JMAG-Designer. To make sure the coil phase is in correct position, the design configuration with coil arrangement tests are evaluated. Finally, each flux of both designs been observed by analyse their torque with various armature current density.
Volume: 10
Issue: 3
Page: 1207-1214
Publish at: 2019-09-01

Real-time implementation of a novel hybrid fuzzy sliding mode control of a BLDC motor

10.11591/ijpeds.v10.i3.pp1167-1177
Ali Mousmi , Ahmed Abbou , Yassine El Houm
This paper presents a novel hybrid control of a BLDC motor using a mixed sliding mode and fuzzy logic controller. The objective is to build a fast and robust controller which overcome classical controllers’ inconveniences and exploit the fast response of brushless dc motors characterized by an intense torque and fast response time. First the paper study pros and cons of both sliding mode and fuzzy logic controllers. Then the novel controller and its stability demonstration are presented. Finally the proposed controller method is used for the speed control of a BLDC motor 3KW. The obtained results are compared with those of a fuzzy logic and a conventional sliding mode controller. It allows to show performance of the proposed controller in terms of speed response and reaction against disturbances, which is improved more than 5 times without losing stability or altering tracking accuracy
Volume: 10
Issue: 3
Page: 1167-1177
Publish at: 2019-09-01

Enhanced decoupled current control with voltage compensation for modular multilevel converter (MMC) based STATCOM

10.11591/ijpeds.v10.i3.pp1483-1499
Abdurrahman Umar Lawan , Haider A.F. Almurib , Jeen G. Khor
This paper presents the application of modular multilevel converter (MMC) as a static compensator (STATCOM) for reactive current control. The current control is mostly achieved using proportional controller, proportional-integral (PI) controller, and hysteresis controller among others. PI controllers have the advantage of low harmonics and small variations.  However, due to the PI controller’s dependency on the system parameters and also due to the variations within the MMC during capacitors voltage control, variation in the MMC performance during the STATCOM non-ideal operations occur. To mitigate this, an improved performance of MMC will be presented using vector-based compensation concept. The proposed control will be introduced to depress the effect of the dynamics of the MMC based STATCOM non-ideal variations considering the impact of the voltage disturbance. This will be achieved by the introduction of voltage variables to subtract the transient variations from PI controllers’ outputs at the grid-interface; thus, improving the performance.
Volume: 10
Issue: 3
Page: 1483-1499
Publish at: 2019-09-01

PV integrated series active filter for sag voltage and harmonic compensation

10.11591/ijpeds.v10.i3.pp1255-1262
Abdelmalek Meftouhi , Othmane Abdelkhalek , Ahmed Allali , Abdallah Ben Abdelkader , Toufik Toumi
The use of loads in the past few days is becoming vast, giving an alarm signal to the power system and electronics engineers in terms of power quality. Due to the large amount of non-linear power electronics, utilities frequently experience voltage and harmonic distortions every day. In this paper, the combination of the Series active power filter SAPF with a PV source is deliberated. The PV based on the SAPF aims to compensate voltage deviations or disturbances that occur in the system caused by power quality issues. The proposed system consists of a PV source connected to the DC link through two dc-dc converters, the first extracts the maximum power of the PV source through pulse with modulation PWM signals generated from the maximum power point tracker MPPT controller. Thus, the second converter is used to regulate the high voltage side of the converter through closed control loops using Fuzzy Logic Controller FLC, in addition to a voltage source inverter VSI and a series injection transformer. Despite of fluctuations of the DC link during the compensation of the needed energy, MPPT and closed control loops generate PWM signals to the switching devices of dc-dc boost converters in order to extract maximum PV power and to maintain the bus voltage within its limits and around its reference values respectively. The proposed topology is simulated in Matlab Simulink software, where simulation results show that the proposed PV based SAPF can efficiently reduce problems of voltage sag and harmonic.
Volume: 10
Issue: 3
Page: 1255-1262
Publish at: 2019-09-01

Review of AC-DC power electronic converter topologies for power factor correction

10.11591/ijpeds.v10.i3.pp1510-1519
Rajagopal Sasikala , R. Seyezhai
Increased harmonic content and low power factor in power systems caused by power converters have been of great concern. To overcome this, several converter topologies employing advanced semiconductor devices and control schemes have been proposed. The aim of this paper is to identify a low cost, small size, efficient and reliable ac to dc converter to meet the input performance index of uninterrupted power supply. In this paper, comparison between three converters namely AC-DC Cuk rectifier, Fly back converter & Interleaved SEPIC converter have been carried out. For the above converters both bridged and bridgeless topologies have been analysed. The working of all the three types of converter has been   illustrated with relevant waveforms followed by the simulation results. Comparison of the three converters have been done based on the parameters namely Displacement Factor, Supply Power Factor& supply THD. The results are verified.
Volume: 10
Issue: 3
Page: 1510-1519
Publish at: 2019-09-01

Performance evaluation of multi-phase permanent magnet synchronous motor based on different winding configurations and magnetization patterns

10.11591/ijpeds.v10.i3.pp1197-1206
M. Rezal , D. Ishak
Permanent magnet synchronous motor (PMSM) is the most reliable and efficient machine that widely used in robotics and automation, industrial applications, electric vehicles, home appliances, aircraft and aerospace technology due to its high efficiency, good dynamic performance and high torque density. In this paper, the influence of various types of winding configuration and different magnetization patterns in the performance of a five-phase PMSM is investigated. Three types of magnetization patterns such as radial magnetization (RM), parallel magnetization (PaM), and multi-segmented Halbach magnetization (SH) are applied to the five-phase 10-slot/4-pole PMSM during open-circuit and on-load conditions. A 2D finite element method (FEM) is intensively used in this investigation to model and predict the electromagnetic characteristics and performance of the PMSM. The detailed results from the finite-element analysis (FEA) on the cogging torque, induced back-emf, airgap flux density and electromagnetic torque are analysed. The induced back-emf of the machine is computed further into its harmonic distortions. Additionally, the skewing method for minimization of cogging torque of PMSM is proposed. From the results, it is observed that the five-phase, 10-slot/4-pole PMSM with double layer distributed winding and parallel magnetization gives the best machine performance.
Volume: 10
Issue: 3
Page: 1197-1206
Publish at: 2019-09-01
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