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Error Analysis of ON-OFF and ANN Controllers Based on Evapotranspiration
Susilo Adi Widyanto;
Achmad Widodo;
Achmad Hidayatno;
Suwoko Suwoko
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i9.pp6771-6779
This paper presents error analysis of ON-OFF controller as well as ANN controller which is applied to an automated irrigation system. Controlling irrigation system was conducted based on revised Penman-Monteith evapotranspiration and compared to a reference of soil moisture. Input parameters of the evapotranspiration included temperature, heat radiation, atmosphere pressure and wind speed. The output data of evapotranspiration was then used as input variable of ON-OFF controller as well as ANN controller. The performance of such controllers were evaluated and compared based on error of both controllers. The simulation results show that the error of the ON-OFF controller can be adjusted by setting the sampling time of the dead zone discretization. Error of ON-OFF controller with sampling time of 0.05 second is equal to error of ANN controller, that is 14.3% of reference signal amplitude.
Improved scaling of spectrum decision mechanism in cognitive radio networks
Peng Yi;
Hou Yong Ji;
Long Hua;
Li Hai Tao
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i9.pp6892-6896
In cognitive radio networks,We usually use nine scaling law based on multi-attribute utility theory as a common spectrum decision mechanism.the traditional scale method only consider the spectrum own objective properties and then makes judgments is not comprehensive enough. This paper through researched the mechanism of scaling judgment in psychology, a new and improved scale method were proposed, and the new scale method applied to spectrum decisions ofcognitive radio networks, So that the measure of subjective judgment factors are more scientific and makes more explicit determination in spectrum decisions. Finally through calculate consistency index to verify the superiority of the improved scaling.
Global Stability of an SEIRS Model with Impulsive Vaccination and Saturating Incidence Rate
Yang Yang;
Cheng Nannan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i9.pp6999-7006
This paper introduces a impulsive vaccination SEIRS epidemic model with constant input, saturation incidence rate and exposed period, and the threshold valueσ=1 is obtained at which disease is eliminated. By using the impulsive differential equation theory, it is proved that whenσ<1, the disease-free periodic solution is globally asymptotically stable, and that whenσ>1,the system is uniformly persistent. On these grounds, it is shown that impulsive vaccination can bring obvious effects on the dynamics behaviors of the system.
An improved Grey-based Approach for Short-Term Wind Power Prediction
Bin Zeng;
Hong-bing Xu;
Jian-xiao Zou;
Kai Li;
Xiao-shuai Xin
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i9.pp6502-6510
With the expansion of wind farm installations in most countries all over the world, the power generation has already significantly influenced on the stability and security of the power grid after grid-connection. Wind power forecasting is an effective method for guarantees stability of the power output from wind farm. This paper proposed an improved GM (1,1) based prediction method, and focuses on the wind power online prediction using the relationship between the wind speed and the wind power generation. The simulation results have verified that the developed approach, with GM rolling mechanism, data preprocessing and background value optimizing has better prediction precision over the traditional GM rolling model and data series smoothing model. Finally, utilized a case study at Azuoqi wind farm located in Inner Mongolia province of China, which obviously realized wind power generation prediction for optimizing the wind power control in the wind farm in real time.
Indirect Rotor Field-Oriented Control of Fault-Tolerant Drive System for Three-Phase Induction Motor with Rotor Resistance Estimation Using EKF
Mohammad Jannati;
N. R. N. Idris;
M. J. A. Aziz
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i9.pp6633-6643
The performance of an Indirect Rotor Field-Oriented Control (IRFOC) scheme for Induction Motors (IMs) is strongly dependent on the motor parameters especially, rotor resistance. As such, to ensure high performance drive system, the variation of the rotor resistance due to the temperature increase need to be estimated based on the available terminal variables. However, the algorithm used to estimate the rotor resistance for a balanced Three-Phase Induction Motor (TPIM) cannot be used for an open-phase fault IM; this is because the model of a faulty machine is different from the balanced 3-phase machine. In this paper, an IRFOC of fault-tolerant drive system (with stator open-phase fault) for a TPIM with rotor resistance estimation using Extended Kalman Filter (EKF) is proposed. The performance of the EKF based rotor resistance estimator is evaluated under different operating conditions using MATLAB simulation package. The proposed algorithm for estimation of rotor resistance in this paper can be applied to either balanced TPIM or Faulty TPIM (FTPIM). The simulation results showed that the proposed system is able to overcome the rotor resistance variations, load disturbance as well as stator open-phase fault condition, with good tracking capability.
Fault diagnosis of Electric Power Grid Based on Improved RBF Neural Network
Luo Yi-Ping;
Shen Ling;
Cao Yi-Jia
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i9.pp6732-6741
This paper introduces a novel clustering algorithm that combines crisp and fuzzy clustering. It not only has the high accuracy of fuzzy clustering, but also reduces the dependency on initialization. Specifically, it constitutes a fast learning process and therefore, the convergence rate and the accuracy of the RBFNN are greatly improved. The simulation results show that this strategy is successfully applied to the fault diagnosis of electric power grid. The training speed and the fault-tolerance of information aberrance, which comes from the maloperation of the protections and breakers, are superior to the traditional RBFNN.
Channel Estimation on 60GHz Wireless System Based on Subspace Pursuit
Baokai Zu;
Xinyuan Xia;
Kewen Xia;
Chuanjian Bai
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i9.pp6852-6859
Due to the channel with characteristic of sparse multi-path in the 60 GHZ wireless communication system, the channel estimation problem can be attributed to that of sparse signals recovery. And with the consideration of the subspace pursuit (SP) algorithm is superior to the orthogonal matching pursuit (OMP) at reconstruction precision, the channel estimation technique based on the SP algorithm is presented in the 60 GHZ wireless communication system, First, design the OFDM multi-carrier modulation communication system. Then, establish the channel estimation mathematical model with indoor Line-of-sight. Finally, complete the reconstruction of sparse signals using SP algorithm. The experimental results and comparison analysis show that the presented technique based on the SP algorithm provides better channel estimation performances in the same pilot conditions, and it is superior to the technique based on OMP algorithm and the technique based on least square (LS) algorithm.
Edge Detection Based on Biomimetic Pattern Recognition
Ning Chen;
Xiao-ping Song;
Yi Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i9.pp6965-6968
This paper introduced a technique for edge detection by Biomimetic pattern recognition (BPR). The images were scanned into a computer. Due to the nature of the acquiring technique, the acquired images have lots of artifacts, resulting in complicated edge detection. According to this, we used Biomimetic pattern recognition, which is based on “matter cognition” instead of “matter classification” and rather closer to the function of the human being. Finally, the experiments showed that the technique is feasible and has some flexibility.
Research on Attitude Measurement for Ballistic Correction Rocket
Liang Zhi-jian;
Ma Tie-hua
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i9.pp6454-6460
Ballistic correction rocket is a kind of smart ammunition which can attach aims exactly. Based on domestic and foreign literature, the technology of flight attitude measurement technology was summarized. The process of the research includes independently inertial measurement unit and inertial navigation system. The previous stage is the measurement technology only depend on a navigation equipment, such as accelerometer, Gyro or electromagnetic sensors etc, the latter means combinations of several measurement units, on the basis of complementary advantages in performance to improve computing accuracy each other. Based on the measurement technology was analyzed and compared, configuration, merit and demerits of multi accelerometer were discussed in detail. The paper prospected the future development of this technology finally.
Back-stepping Adaptive SVM Direct Torque Control of SPMSM Drive system
Hua Sun;
Xuan Cui;
Chuansheng Tang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i9.pp6587-6593
A novel back-stepping adaptive control strategy is proposed to direct torque control (DTC) of surface permanent magnet synchronous motor (SPMSM) in order to solve some problems existed in conventional DTC, such as high flux , torque and current ripple, variable switching frequency, and acoustic noises. PI speed regulator and two hysteresis regulators in the conventional DTC system are substituted by the proposed back-stepping adaptive controller respectively. The output of the designed controller makes space vector modulation (SVM) possible, which further ensures the inverter switching frequency to be fixed. The stability of the controller is verified via Lyapunov stable theory.Simulation results show that the presented control strategy can solve these problems effectively and show strong robust to external disturbance and noise.