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RBFNN Variable Structure Controller for MIMO System and Application to Ship Rudder/Fin Joint Control
Han Yao Zhen;
Hairong Xiao
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 12: December 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i12.pp8166-8174
Aiming at a class of multiple-input multiple-output (MIMO) system with uncertainty, a sliding mode control algorithm based on neural network disturbance observer is designed and applied to ship yaw and roll joint stabilization. The nonlinear disturbance observer is finished by radial basis function neural network and with that a terminal sliding mode control algorithm is proposed. The asymptotic stability of closed-loop system is proved based on Lyapunov theorem. The proposed control law is applied to anti-roll control under simulative wave disturbances. Simulation results verified robustness and effectiveness of the suggested algorithm. A good anti-rolling effect is achieved and yaw angle is also reduced greatly with less mechanical loss.
Service Cooperation Incentive Mechanism in a Dual-channel Supply Chain under Service Differentiation
Jun Chen;
Ying Yang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 12: December 2014
Publisher : Institute of Advanced Engineering and Science
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An incentive mechanism about service effort provided by the manufacturer in a dual-channel supply chain is studied under asymmetric information. The principal-anent models are developed for asymmetric information and symmetric information, and then the optimal fixed payment and the optimal profit sharing ratio are obtained. In contrast to the case under symmetric information, the conclusion implies that the manufacturer’s profit decreases under asymmetric information, the retailer’s profit keep same even lower service level is provided. Thus, the system performance of the supply chain decreases. http://dx.doi.org/10.11591/telkomnika.v12i12.6193
HVDC Application for Different Solar PV Technology Combinations in India
Suprava Chakraborty;
Pradip Kumar Sadhu;
Nitai Pal
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 12: December 2014
Publisher : Institute of Advanced Engineering and Science
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Conventionally Grid Connected Solar PV plants initially generate DC power and then converted to AC via inverters and connected into AC grid for transmission power. Depending on the size of the plant, required environmental condition and land availability large PV plants are generally located far away from the load centre. Hence reduction of transmission loss and incised transmission capacity expansion is a greater challenge for modern newly establish solar power plant. Transmitting high voltage DC power directly from Solar PV panel to High voltage DC grid is become an accretive option for modern PV power plant. In this paper DC-DC bypass diode converter model is adopted to generate high voltage DC voltage in PV power plant. Result shows that power in the range of HVDC level can be generated when the voltage of different PV technology blocks are used as input. P-SIM software is used for simulating the circuit here.http://dx.doi.org/10.11591/telkomnika.v12i12.6822
New Research on MEMS Acoustic Vector Sensor Used in ground Marker of Pipeline
Mengran Liu;
Guojun Zhang;
Zeming Jian;
Hong Liu;
Xiaopeng Song;
Wendong Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 12: December 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i12.pp8126-8132
Recently, ground marker based on the principle of acoustic detection has become the trend of pipeline technology. As to the difficulty and low accuracy of ground marker, this paper introduces a new MEMS bionic acoustic vector sensor with high sensitivity, good performance in low frequency and lower power. As to the problem of the port/starboard blur of this vector sensor in ground marking, it proposes a new plan and proves the correctness of the plan through theoretic analysis and experimental verification. The results show that the mean error of the directional angle is within 5 degree meeting the needs of the engineering project.
New Topology LNA Architecture using Inductive Drain Feedback Technique for Wireless Application
Kamil bin Pongot;
Othman A.R;
Zakaria Z;
Suaidi M.K;
Hamidon A.H
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 12: December 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i12.pp8257-8267
This paper presents a design of a single LNA cascaded with double stage cascoded LNA amplifiers using an inductive drain feedback technique. The amplifier it is implemented using superHEMT FHX76LP transistor devices. The designed circuit is simulated with Ansoft Designer SV. The LNA was designed using inductive drain feedback, inductive generation to the source, and the T-network as a matching technique was used at the input and output terminal. The low noise amplifier (LNA) provides a gain (S21) of 68.94 dB and the noise figure (NF) of 0.64 dB. The return loss (S12) output reflection (S22) and input reflection (S11) are -88.39,-17.37 and –15.77 dB respectively. The measurement shows a 3-dB bandwidth of 1.72 GHz and stability are 4.54 more than 1 has been achieved. The input sensitivity is -92 dBm exceeded the standards required by IEEE 802.16.
An Approach of Power Factor Correction in BLDC Motor Drives Using Cuk Derived Converters
R. Balamurugan;
J. Pearly Catherine
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 12: December 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i12.pp8092-8097
This paper deals with a comparative analysis of various converter topologies for Power Factor Correction (PFC) in BLDC motor drives. A power factor corrected converter is required for improving power quality at the AC mains of an inverter fed BLDC motor drive. Conventionally, the BLDC motor is fed by a diode bridge rectifier (DBR) which results in highly distorted supply current and a poor power factor. A new bridgeless single-phase ac–dc Cuk derived topology has been introduced for power factor correction. This bridgeless topology uses minimum number of switches and thus reduces the less conduction losses compared with the conventional PFC rectifier. There are three cuk derived configurations for power factor correction. In this paper, all the cuk derived topologies are investigated and compared. The best topology is identified and recommended for PFC in BLDC motor drive.
Chaotic Binary Modulation Excitation Sequences for Multichannel Ultrasonic Ranging System
Zhenjing Yao;
Jingsong Yang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 12: December 2014
Publisher : Institute of Advanced Engineering and Science
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A crosstalk elimination method by using the optimal binary excitation sequences modulated with chaotic codes, which includes chaotic binary amplitude shift keying (c-BASK), chaotic binary phase shift keying (c-BPSK) and chaotic binary frequency shift keying (c-BFSK), is proposed in this paper. The selection of the optimal chaotic initial values with the best echo correlation characteristics is realized by adopting a genetic algorithm. A square wave is used as the carrier of the chaotic binary modulation methods in order to reduce hardware cost. However, it could suffer from the decreased energy efficiency caused by mismatching spectrum with ultrasonic ranging system. The parameters of the chaotic binary modulation methods are configured to make their central frequency and bandwidth matched with that of the ultrasonic ranging system very well. Experiments have been conducted using an ultrasonic ranging system that consists of eight-channel SensComp 600 series instrument-grade electrostatic sensors excited with chaotic binary sequences. Experimental results show that the c-BFSK outperforms the c-BASK and c-BPSK in terms of the energy efficiency, e.g., 0.3508 vs. 0.3365 and 0.3279 , respectively. And the optimized c-BFSK sequence also has the best echo correlation characteristics among the chaotic binary modulation sequences. http://dx.doi.org/10.11591/telkomnika.v12i12.4640
Knowledge Management System for Zakat
Aulia Rahman Nasution;
Irman Hermadi;
Wisnu Ananta K.;
Irfan Syauqi B.
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 12: December 2014
Publisher : Institute of Advanced Engineering and Science
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Zakat is one of the Islamic pillars that has strategic contribution to the society. Zakat is one of the Muslim obligation. It is also a form of social solidarity. The collaborative research conducted by Badan Amil Zakat Nasional (BAZNas) and Institut Pertanian Bogor (IPB) estimated the potential of zakat collection in Indonesia could reach about Rp 217 trillion every year that has not been achieved yet. Researchers and practitioners have advised to implement a Knowledge Management System (KMS) to optimize the collection and BAZNas’s objectives. The objective of this research is to develop web-based Zakat Knowledge Management System (ZKMS). The KMS development methodology is done with using Knowledge Management System Life Cycle (KMSLC). Knowledge has been captured from experts consisting of practitioners and scientists from BAZNas of Bogor City, muzakki, documents, books and journals. ZKMS was developed using ASP.NET framework, C# programming language and MySQL database management system. The system has menu that are user, zakat knowledge, questions and answers with experts, interaction between members, about us, profiles and knowledge sources. This system is designed be user friendly to get, know, make, share, store and disseminate actual and contemporary of zakat knowledge. http://dx.doi.org/10.11591/telkomnika.v12i12.6842
Remote Controlling and Monitoring of Induction Motors Through Internet
Abdülkadir Çakir;
Hakan Çalis;
Gökhan Turan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 12: December 2014
Publisher : Institute of Advanced Engineering and Science
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Electric motors are workhorse of the industry. Induction motors are used more commonly than the other electric motors because of being low cost, robustness, and requiring less maintenance (especially squirrel-cage types), and able to work in harsh conditions. In this study, simultaneously remote powering of three separate single phase motors or one three-phase induction motor, when it is requested continuously remote data collection of motor currents, voltages, and remote monitoring of motor status are implemented. Moreover, preventing motors not running on low or high voltage conditions and allowing to run when the values return to nominal rates are provided. The design consists of PIC18F4620 microcontroller connected with ethernet board, sensor cards and control card. The developed software and HTML labels belonging to web interface are embedded in the microcontroller. The serial ethernet board contains HTML labels in its buffer memory. Thus, instead of using a separate host computer the serial ethernet board does the same hosting job. The remote powering of induction motors was done by the help of any device connecting to the internet with using an IP number assigned to the serial ethernet board. http://dx.doi.org/10.11591/telkomnika.v12i12.6719
The B+-tree-based Method for Nearest Neighbor Queries in Traffic Simulation Systems
Zhu Song;
Zhiguang Qin;
Weiwei Deng;
Yuping Zhao
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 12: December 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i12.pp8175-8192
Extensive used traffic simulation systems are helpfulin planning and controlling the traffic system. In traffic sim-ulation systems, the state of each vehicle is affected by thatof nearby vehicles, called neighbors. Nearest neighbor (NN) queries, which are multi 1-dimensional and highly concurrent,largely determine the performance of traffic simulation systems. Majority of existing traffic simulation systems use Linked list-based methods to process NN queries. Although simple andeffective they are, existing methods are neither scalable nore fficient. In this paper, we propose a B+-tree-based method to improve the efficiency of NN queries by borrowing ideas from methods used in databases. In particular, we create a linked local B+-tree, called LLB+-tree, which is a variation of Original B+-tree, to maintain the index of neighbors of each vehicle. We also build a mathematical model to optimize the parameter setting of LLB+-tree according to multiple parameters for lanes and vehicles. Our theoretical analysis shows that the time complexityof the method is O(logN) under the assumption of randomly distribution of vehicles. Our simulation results show that LLB+-tree can outperform Linked list and Original B+-tree by 64.2%and 12.8%, respectively.