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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 105 Documents
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Search results for , issue "Vol 11, No 12: December 2013" : 105 Documents clear
Research on FPGA-based Programmable Logic Controllers’ Technology Zhu Huabing; Liang Benlei; Dong Bolin; Feng Xiao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper introduces a scheme which implements the programmable logic controllers’ (PLCs) function based on FPGA. This scheme follows the IEC61131-3 standard, selects Ladder Diagram (LD) to write the PLC programs and selects VHDL as target language. Based on VS2005 platform, this scheme implements the construction of Ladder Diagram, compilation, simulation and other functions. This paper focuses on researching the construction method of Ladder Diagram, converting Ladder Diagram into Boolean equation and generating VHDL program by Boolean equivalence. The construction method of Ladder Diagram based on parallel-series hierarchical nested list and the implementing method of Boolean equivalence based on double-layer lists are proposed. Finally the correctness of the scheme is verified through an example.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3701
Global Exponential Stability Analysis of Dynamic Neural Networks with Distributed Delays Songhe Jin; Dianbo Ren; Lei He
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper, the existence, uniqueness and globally exponential stability of the equilibrium point of a dynamic neural network with distributed delays were studied without assumption of boundedness and differentiability of activation functions. Sufficient criteria for existence, uniqueness and global exponential stability of the equilibrium point of such neural networks were obtained based on the knowledge of M-matrix, topology and Lyapunov stability theory. A test matrix was constructed by the weight matrix and the conditions satisfying activation functions of the neural networks. A neural network has a unique equilibrium point and is globally exponential stable if the test matrix is an M-matrix. Since the criterion is independent of the delays and simplifies the calculation, it is easy to test the conditions of the criterion in practice. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.2548
Simplified Gauss Hermite Filter Based on Sparse Grid Gauss Hermite Quadrature Gao Fu Quan; Chen Li Rong; Ding Chuan Hong; Liu Jian Feng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

In order to improve estimation accuracy of nonliear system with linear measurement model, simplifed gauss hermite filter based on sparse grid gauss hermite quadrature (SGHF) is proposed. Comparing to conventional Gauss-Hermite filter (GHF) based on tensor product gauss quadrature rule, simplified SGHF not only maintains GHF's advantage of precission controllable, high estimation accuracy, but also relieves the curse of dimension problem by reduce the number of gaussian intrgration points to the number of sigma points that scaled unscented transform uses. Theoretical analysis and experimental results show that estimation base on new filter performs significantly beter than extended kalman filter (EKF), and slightly better than unscented kalman filter (UKF) on estimation accuracy and convergence speed, and computational burden is significantly reduced comparing with traditional GHKF. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3693
Fuzzy Adaptive Sliding Mode Control of Large Erecting Mechanism Li Liang; Xie Jian; Huang Jian Zhao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Sincethe large erecting mechanism has nonlinearities, parameter uncertainties andexternal disturbance, it is difficult to realize a model-based sliding modecontrol design. So a fuzzy adaptive sliding mode control scheme which combinedfuzzy control with sliding mode control is proposed to achieve nonlinearcontrol of the erecting mechanism. This control scheme is mainly use the fuzzysystem to approximate the equivalent control of the sliding mode controllerwithout knowing the system dynamic model. And it also releases thetrial-and-error work of establishing the fuzzy inference rules. The update lawsfor the fuzzy tuning parameters and the switch control parameter are derivedbased on the Lyapunov stability analysis. The simulation results show that comparedto the PID control and conventional sliding mode control, the fuzzy adaptivesliding mode control has nicer robustness and more accurate tracking ability,and the stability of the erecting process has improved. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3818
Wavelet Neural Network-based Short-Term Passenger Flow Forecasting on Urban Rail Transit Xiaojie Zhang; Baohua Mao; Yongliang Wang; Jia Feng; Minggao Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Accurate forecasting of short-term passenger flow has been one of the most important issues in urban rail transit planning and operation. Considering the shortcomings of traditional forecasting methods, and in order to improve forecasting accuracy of passenger flow, this paper presents a wavelet neural network (WNN) for short-term passenger flow forecasting. One real urban rail transit station with large and significantly changed passenger flow is chosen to be the example. The proposed method and BP neural network have been compared with the results, which show that the WNN model has more advantages. The WNN model features higher learning speed and drastically less convergence time, showing that it is meaningful in practical application. Furthermore, the calculated relative errors using BP neural network are nearly in the range [-0.4, 0.3] and the calculated relative errors are in the range [-0.25, 0.1] using the WNN, which demonstrate the superior accuracy of using this approach. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3096
Adaptive Cancellation of Light Relative Intensity Noise for Fiber Optic Gyroscope Zhongxiao Ji
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

In order to reduce the relative intensity noise (RIN) in the interferometric signal of the fiber optic gyroscope (FOG), an adaptive noise subtraction method is presented, which aims to overcome to the drawbacks that the fixed delay time and gain of the digital noise subtraction method. The drawbacks will make the performance of FOG to be degraded greatly in the changing environment. In the paper the adaptive noise subtraction system based on the recursive least squares algorithm (RLS) is formed in FPGA, in which the interferometric signal is regarded as the signal source, and RIN in the free end of the optical fiber coupler of FOG is looked as the noise reference signal. The two critical parameters that minimum delay time and its varying range result from measuring the minimum and maximum delay times of the interferometric signal in a certain temperature range. The off-line and on-line temperature experimental results verify the capability of adapting to the environmental temperature.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3660 
Improved Distributed Particle Filter for Simultaneous Localization and Mapping Mei Wu; Fujun Pei
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The Simultaneous localization and mapping (SLAM) problem have become a focus of many researches on robot navigation. Generally the most widely used filter in SLAM problems are centralized filter. It is well known that SLAM based on conventional centralized filter must reconfigure the entire state vectors when the observation dimension changes, which cause an exponential growth in computation quantities and difficulties in isolate potential faults. In this paper, we proposed improved DPF distributed particle filter-SLAM in two aspects, in DPF-SLAM one centralized filter is divided into several distributed filters which reduce the computation quantities efficiently and avoid the necessary to reconfigure the entire state vectors in every step. First, we improved the important function of the local filters in distributed particle filter. By changed a set constant in the important function to an adaptive value, we improved the robustness of the system. Second, we propose an information fusion method that mixed the innovation method and the number of effective particles method, which combined the advantages of these two methods. The result of simulations shows that the algorithms we proposed improved the virtue of the DPF-SLAM system in isolate faults and enabled the system has a better tolerance and robustness.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3683
Network Coding Based Reliable Multi-path Routing in Wireless Sensor Network Zhao Wei; Tang Zhenmin; Yang Yuwang; Wang Lei
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This thesis proposes a network coding based and easily-realizable composite network topologic model. It is composed of disjoint multi-path routing (DMR) and braided multi-path routing (BMR) in wireless sensor network, and network coding technology is also employed in our multi-path routing. With the use of the Node Coding technology and the multi-path technology, NC-RMR (Network Coding based Reliable disjoint and braided Multipath Routing) strengthens the network reliability, and meanwhile reduces the number of desired sub paths and helps to balance the network loads. Finally, its theoretic correctness and performance superiority was verified in the simulation. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3711
The Multi-criterion Relay Technology of Power Distribution System Based on GOOSE Jianhua Liu; Qiwei Zang; Dong Wang; Peng Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

GOOSE network of intelligent substation provides the fast packet transmission channel for the substation automation system, each IED connected in the GOOSE network can choose as subscribers or publishers to receive or publish data in order to achieve the station information sharing and equipment interoperability. In this paper, a 10kV bus protection scheme is proposed by combining intelligent substation requirements and the technical characteristics of the GOOSE protocol. This scheme uses intelligent substation information sharing and it is an application of GOOSE technology. A single-phase ground protection scheme is also proposed. It’s based on the GOOSE technology. Fault information is in GOOSE message, so all the IEDs can share it through the bay layer network .At last, this paper proposes the execution scheme for upgrading the traditional protection. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3742
External Biomedical Device Relaying BSN Scheme Xidong Zhang; Guixia Kang; Ping Zhang; Heng Zhang; Xiangyi Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Biological parameters acquiring devices are very important in Ubiquitous Medical/Health Care system as they are responsible for gathering physical parameters for further analyze. It is natural that they form a wireless network when they transmit the collected data, and the network is referred to as BSN. Energy efficiency is vital in BSN because that the replacement of power resources of the devices implanted in human body is extremely costly. Considering the difference between In-body channel and special channel, a novel BSN transmission scheme, Coop BSN, is proposed in this paper. In Coop BSN, The transmission of IBDs is divided into two steps as the external devices are treated as relays. The first step is the IBD-EEBD transmission, in which IBDs transmit the data they collected with modified cooperative algorithm, DDF. The second step is EEBD-Coordinator transmission, in which multiuser diversity is exploited. With the division of the transmission, the overall transmission energy efficiency is optimized. Theoretical analyze and experimental results showed that, the scheme can prolong the life time of devices, especially devices implanted in human body in BSN, which improve the feasibility of BSN. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3722

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