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27,404 Article Results

Fuzzy Logic PSS Assisted by Neighboring Signals to Mitigate the Electromechanical Wave Propagation in Power Systems

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1487
Mahmoud N. Ali
This paper deals with the mitigation of electromechanical wave propagation in power systems. Different conventional controllers addressed this problem, such as the conventional PSS and the conventional fuzzy logic PSS. In this paper, the fuzzy logic PSS is assisted by auxiliary signals from the fuzzy logic PSS of the interconnected machines to augment the damping of electromechanical wave propagation and the associated oscillations. The neighboring machines speed deviation and its derivatives signals are exploited through the fuzzy logic PSS to assist the local fuzzy logic PSS. The disturbance propagation and reflection phenomena are considered in the design of the adopted strategy. The efficacy of the proposed assistance of the conventional fuzzy logic PSS are examined through different simulation results. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7837
Volume: 14
Issue: 3
Page: 363-375
Publish at: 2015-06-01

Stator Field-Orientation Speed Control for 3-Phase Induction Motor under Open-Phase Fault

10.12928/telkomnika.v13i2.1441
Mohammad; Universiti Teknologi Malaysia Jannati , Tole; Universitas Ahmad Dahlan Sutikno , Nik Rumzi; Universiti Teknologi Malaysia Nik Idris , Mohd Junaidi; Universiti Teknologi Malaysia Abdul Aziz
The industrial requirements for the control of an Induction Motor (IM) under fault conditions continue to be of attention, as evidenced by the majority current publications. The focus is on developments of control methods which can be used for faulty IM. A novel vector control technique based on Stator Field-Oriented Control (SFOC) for a 3-phase IM under open-phase fault is proposed in this paper. MATLAB simulation results are presented to illustrate the improvement in performance of the proposed algorithm.
Volume: 13
Issue: 2
Page: 432-441
Publish at: 2015-06-01

Analysis and Simulation on Torque Ripples of Brushless DC Motor

10.12928/telkomnika.v13i2.991
Qian; University of Shanghai for Science and Technology Weikang , Shi; University of Shanghai for Science and Technology Yutao
Because of its small size, high reliability, efficiency, and its output torque characteristics, brushless DC motor (BLDCM) had been widely used in many field of robotics, precision instruments and equipment, etc. However, its inherent electromagnetic torque ripple limited the scope of its application, which was the focus and difficulty of its research in recent years. This article first described the causes of brushless DC motor torque ripple, and then torque ripple generated by four PWM modulations was analyzed to get optimum control scheme, finally the MATLAB / SIMULINK simulation model verified the analysis of the results. This paper provided the most intuitionistic exhibition.
Volume: 13
Issue: 2
Page: 381-390
Publish at: 2015-06-01

Application of Single MEMS-accelerometer to Measure 3-axis Vibrations and 2-axis Tilt-Angle Simultaneously

10.12928/telkomnika.v13i2.1490
Didik R.; Division of Instrumentation, Physics Department, Brawijaya University. Santoso , Sukir; Division of Geophysics, Physics Department, Brawijaya University. Maryanto , Ahmad; Division of Instrumentation, Physics Department, Brawijaya University. Nadhir
This paper discusses a technique of developing an integrated sensor system, to measure the mechanical vibrations in 3-axis and the tilt-angle in 2-axis simultaneously, using only single MEMS-accelerometer. Type of MEMS-accelerometer that used in this experiment is MMA7361L, which is an analog-type acceleration sensor in the form of MEMS, with a maximum sensitivity of 800 mV/g. The MMA7361L has three outputs of voltage (Vx, Vy, Vz) in response to the acceleration value "g" of each working-axis corresponding vibrating (gx, gy, gz). By using certain techniques in the design of signal conditioning circuits, then the MMA7361L can be used to detect parameters of the vibration in 3-axis and the tilt-angle in 2-axis at the same time, simultaneously. To accommodate five output signal of the sensor system, used a data acquisition system that was built based on PIC16F876 microcontroller, which are already contained five internal ADC with 10 bits resolution. Thus, the resulting integrated sensor system becomes very simple, minimal components, and inexpensive. The experimental results show that the developed integrated sensor system has capability to measure the 3-axis vibrations and the 2-axis tilt-angle, with fairly good accuracy.
Volume: 13
Issue: 2
Page: 442-450
Publish at: 2015-06-01

A Novel Topology for Controlling a Four Port DC-DC Boost Converter for a Hybrid PV/PV/Battery Power System

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1497
Dharani M , Usha P.V.
This paper proposes a four port three input-dc-dc boost converter for hybridising two photovoltaic systems and a storage medium. Three unidirectional ports are utilised to interface the converter with the two input sources and the output load. A bidirectional port interfaces the converter with the storage system. The two sources individually or simultaneously supply the load and charge the battery. The proposed technique employs only four independently controlled switches with different duty ratios. The regulated dc output can be obtained by controlling these four switches and tracking the maximum power of the two photovoltaic systems. Three different modes of operation of converter influenced by the state of battery are presented. The proposed system is validated and verified by simulation performed in MATLAB under various operating conditions. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7854
Volume: 14
Issue: 3
Page: 446-454
Publish at: 2015-06-01

Effect of Underlap and its Soft Error Performance in 30 nm Junctionless-based 6T-SRAM Cell

10.12928/telkomnika.v13i2.1298
Chitra; VIT University Pandy , Ramakrishnan; VIT UNIVERSITY Narayanan
As CMOS device is scaling down significantly, the sensitivity of Integrated Circuits (ICs) to Single Event Upset (SEU) radiation increases. The Sensitivity of ICs to  soft errors emerge as reliability threat which motivates  significant interest in the development of various techniques both at the device and circuit level for SEU hardness in SRAM memories. To facilitate the scaling the concept of underlap Gate-Source/Drain (G-S/D) was suggested in the literature. Lun is one of the sensitive geometrical parameter considered to differ from 1 nm to 5 nm in a SEU radiating environment. The effect of Gate-Source/Drain underlap (Lun) on soft error performance in 30 nm Junctionless Transistor (JLT) based on 6T-SRAM cell has been examined through extensive mixed mode-device and circuit simulations using TCAD. The critical dose observed in JLT based 6T-SRAM with Lun ranging from 1 nm to 5 nm to flip the cell is given by Linear Energy Transfer (LET) between 0.05 to 0.06 pC/µm. The simulation result analyzes electrical and SEU radiation parameters to study its impact on JLT based 6T-SRAM cell.
Volume: 13
Issue: 2
Page: 451-459
Publish at: 2015-06-01

Wireless Sensor Networks Node Localization-A Performance Comparison of Shuffled Frog Leaping and Firefly Algorithm in LabVIEW

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1504
Chandirasekaran D , T. Jayabarathi
Wireless sensor networks (WSN) have become popular in many applications area including environmental monitoring, military and offshore oil & gas industries. In WSN the sensors are randomly deployed in the sensor field and hence estimation of the localization of each deployed node has drawn more attention by the recent researchers, It’s a unique problem to identify and maximizing the coverage where the sensors need to be placed in a position so that the sensing capability of the network is fully utilized to ensure high quality of service. In order to keep the cost of sensor networks to a minimum, the use of additional hardware like global positioning system (GPS) can be avoided by the use of effective algorithms that can be used for the same. In this paper we attempted to use both the shuffled frog leaping (SFLA) and firefly algorithms (FFA) to estimate the optimal location of randomly deployed sensors. The results were compared and published for the usefulness of further research. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7861
Volume: 14
Issue: 3
Page: 516-524
Publish at: 2015-06-01

Finding Kicking Range of Sepak Takraw Game: A Fuzzy Logic Approach

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1508
Andino Maseleno , Md. Mahmud Hasan
This paper presents a method to find kicking range of sepak takraw game when player kicks backthe ball to the other team. To serve, one player stands in the right semi-circle on their side of the court. Theplayer throws the ball to the server, who stands in the circle on their side of the court. The player kicks theball up and over the net then opponent player kicks back the ball. This research works considered how fuzzylogic can be applied for the sepak takraw game - for addressing uncertainty in kicking range of the ball. Wehave chosen Tsukamoto’s fuzzy reasoning scheme, because the individual rule outputs are crisp numbers,and therefore, the functional relationship between the input vector and the system output can be relativelyeasily identified. The result reveals that if player serve far, kicking range will be decreased and stable duringkicking very near through kicking very far.\\ DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7833 
Volume: 14
Issue: 3
Page: 557-564
Publish at: 2015-06-01

Image Denoising Based on Artificial Bee Colony and BP Neural Network

10.12928/telkomnika.v13i2.1433
Junping; Henan Vocational and Technical Institute Wang , Dapeng; Henan Vocational and Technical Institute Zhang
Image is often subject to noise pollution during the process of collection, acquisition and transmission, noise is a major factor affecting the image quality, which has greatly impeded people from extracting information from the image. The purpose of image denoising is to restore the original image without noise from the noise image, and at the same time maintain the detailed information of the image as much as possible. This paper, by combining artificial bee colony algorithm and BP neural network, proposes the image denoising method based on artificial bee colony and BP neural network (ABC-BPNN), ABC-BPNN adopts the “double circulation” structure during the training process, after specifying the expected convergence speed and precision, it can adjust the rules according to the structure, automatically adjusts the number of neurons, while the weight of the neurons and relevant parameters are determined through bee colony optimization. The simulation result shows that the algorithm proposed in this paper can maintain the image edges and other important features while removing noise, so as to obtain better denoising effect.
Volume: 13
Issue: 2
Page: 614-623
Publish at: 2015-06-01

Guaranteed Cost Control for Uncertain Neutral Systems with a Minimal Order Observer

10.12928/telkomnika.v13i2.875
Erwin; School of Electrical Engineering Susanto , Junartho; School of Electrical Engineering, Telkom University Halomoan , Mitsuaki; Department of Mechanical Systems Engineering, Kumamoto University Ishitobi
This paper presents a design scheme of a minimal order observer-based guaranteed cost controller for uncertain neutral systems, in which some state variables can not be measured. The uncertainties are assumed to be norm-bounded. The initial state is assumed unknown but their mean and covariance are assumed known. A sufficient condition for robust stability analysis and robust stabilization are derived via linear matrix inequalities (LMIs). To show the advantage of the proposed method, a numerical example is given.
Volume: 13
Issue: 2
Page: 518-527
Publish at: 2015-06-01

Unambiguous Sine-phased BOC(kn,n) Signal Acquisition Based on Combined Correlation Functions

10.12928/telkomnika.v13i2.1469
Deng; Beijing University of Posts and Telecommunications Zhongliang , Xi; Beijing University of Posts and Telecommunications Yue , Yin; Beijing University of Posts and Telecommunications Lu
Galileo and GPS have been developing their new signals in recent years. Multiplexed Binary Offset Carrier (MBOC) is the final implementation of Galileo E1 and GPS L1C, which is the multiplexing of BOC(1,1) and BOC(6,1). Therefore, it is helpful to satisfy the demand that the new signals must be compatible with GPS BPSK signal. BOC(kn,n) modulation will provide better track performance and higher positioning accuracy. However, the main drawback of the BOC modulated signal is that its autocorrelation has multiple side peaks around the main peak. This paper will focus on a family of signals: sine-phased BOC(kn,n). We are trying to explore a new method to cancel the side peaks of BOC(kn,n) autocorrelation, making use of two kinds of correlation functions. One is the correlation of the incoming signal and the sine-phased BOC(kn,n) modulated spreading code(PRN code multiplied by subcarrier), and the other is the correlation of the incoming signal and the PRN code only. Two kinds of correlation function are separated into several sub-correlations. Sub-correlations have less side peaks which are in different code delays. Corresponding parts of two sub-correlations will be combined to cancel the side peaks separately, and finally the new function without side peaks will be acquired after several correlations added together. Simulation results will be given. It is shown that the proposed method is contributed to the side peaks cancellation for unambiguous sine-phased BOC (kn, n) signal acquisition.
Volume: 13
Issue: 2
Page: 502-509
Publish at: 2015-06-01

Comparison of Data Partitioning Schema of Parallel Pairwise Alignment on Shared Memory System

10.12928/telkomnika.v13i2.1415
Auriza Rahmad; Institut Pertanian Bogor Akbar , Heru; Institut Pertanian Bogor Sukoco , Wisnu Ananta; Institut Pertanian Bogor Kusuma
The pairwise alignment (PA) algorithm is widely used in bioinformatics to analyze biological sequence. With the advance of sequencer technology, a massive amount of DNA fragments are sequenced much quicker and cheaper. The alignment algorithm needs to be parallelized to be able to align them in a shorter time. Many previous researches have parallelize PA algorithm using various data partitioning schema, but it is unclear which one is the best. The data partitioning schema is important for parallel PA performance, because this algorithm use dynamic programming technique that needs intense inter-thread communication. In this paper, we compared four partitioning schemas to find the best performing one on shared memory system. Those schemas are: blocked columnwise, rowwise, antidiagonal, and blocked columnwise with manual scheduling and loop unrolling. The last schema gave the best performance of 89% efficiency on 4 threads. This result provided fine-grain parallelism that can be used further to develop parallel multiple sequence alignment (MSA).
Volume: 13
Issue: 2
Page: 694-702
Publish at: 2015-06-01

A Study on TPMS Pre-warning Threshold Algorithm Based on Multi-sensor Data Fusion

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1501
Wang Gang , Zhao Jiyin
In order to improve the precision of the tire pressure monitoring system, the Bayes method is applied to establish its mathematical model of multi-sensor information fusion. The temperature and pressure in the tire, which are the complementary information, are integrated in the model through analyzing the mechanism of tire burst generated by temperature and pressure. Through the temperature compensation of tire burst pressure threshold value, the false alarm and false negative are avoided to the hilt. The experimental results show that compared with the traditional TPMS, the accuracy of the measuring results of this model is improved and thus the system’s monitoring ability is improved so that the traffic safety is guaranteed. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7895 
Volume: 14
Issue: 3
Page: 493-499
Publish at: 2015-06-01

Goal-seeking Behavior-based Mobile Robot Using Particle Swarm Fuzzy Controller

10.12928/telkomnika.v13i2.1111
Andi; Universitas Mercu Buana Adriansyah , Yudhi; Universitas Mercu Buana Gunardi , Badaruddin; Universitas Mercu Buana Badaruddin , Eko; Universitas Mercu Buana Ihsanto
Behavior-based control architecture has successfully demonstrated their competence in mobile robot development. Fuzzy logic system characteristics are suitable to address the behavior design problems. However, there are difficulties encountered when setting fuzzy parameters manually. Therefore, most of the works in the field generate certain interest for the study of fuzzy systems with added learning capabilities. This paper presents the development of fuzzy behavior-based control architecture using Particle Swarm Optimization (PSO). A goal-seeking behaviors based on Particle Swarm Fuzzy Controller (PSFC) are developed using the modified PSO with two stages of the PSFC process. Several simulations and experiments with MagellanPro mobile robot have been performed to analyze the performance of the algorithm.  The promising results have proved that the proposed control architecture for mobile robot has better capability to accomplish useful task in real office-like environment.
Volume: 13
Issue: 2
Page: 528-538
Publish at: 2015-06-01

Adaptive Energy-aware Cluster Based Routing Protocol for Mobile Ad Hoc Networks

10.12928/telkomnika.v13i2.1438
Fatemeh; Payamnoor University of Sari Hakimifar , Seyed-Amin; Ferdowsi University of Mashhad Hosseini-Seno , Mohammad; Islamic Azad University of Mashhad Hossein Moattar , Thair; Al Baha University Al-Dala’in , Rahmat; Al Baha University Budiarto
Due to the downside characteristics of Mobile Ad hoc Networks (MANETs) such as dynamic topology and energy consumption and control overhead, network clustering is one of the promising solutions. Cluster Based Routing Protocol (CBRP) is a robust and scalable routing protocol for MANETs. Clustering formation algorithm used in CBRP is a variation of simple lowest-ID algorithm in which the node with a lowest ID among its neighbors is elected as the Cluster head. Neglecting mobility and energy for selecting cluster head is one of the weakness points of the algorithm. In order to increase stability of the network and to prevent re-clustering an adaptive energy-aware Cluster Based Routing Protocol (AECBRP) is proposed. Two algorithms have been introduced in AECBRP as enhancement to the CBRP: improving the cluster formation algorithm by considering relative mobility, residual energy and connectivity degree metrics, and add in an efficient cluster maintenance algorithm based on the aggregate energy metric of cluster head. Using NS-2 we evaluate the rate of cluster-head changes, the normalization routing overhead and the packet delivery ratio. Comparisons denote that the proposed AECBRP has better performances with respect to the original CBRP and Cross-CBRP.
Volume: 13
Issue: 2
Page: 711-721
Publish at: 2015-06-01
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