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PLC Used Automation in Oil Industry for multiple Induction Motors
Nithin T Abraham;
Shaema Lizbeth Mathew;
Hima S
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.pp6461-6470
Industrial automation is largely based on PLC-based control systems. They are used to monitor and control a plant or equipment in industries such as water and waste control, energy, oil and gas refining and transportation. Automation also increases product quality, productivity and decreases breakdown. Conventional equipments or systems are prone to errors due to involvement of humans for data collection and processing using complicated mathematical expressions. Computer integrated manufacturing, computer numerical control; robots, flexible manufacturing system, automated inspection and process control are directing the technology toward one goal, the fully automated factory of the future. Coming to Induction motors, in the conventional case due to long use of a particular induction motor in oil rig related plants more mechanical faults arise due to overheating and may lead to failure which affects production. In case of using two or more induction motors and automating the duty cycle shifting using PLC, the effectiveness of the system increases. Also in case of tripping of a particular motor, other idle motors backs up the operation thereby preventing the plant to go to standstill, hence increasing the overall plant efficiency.
A Flux Weakening Control Algorithm Based on Notch Filter
Yu Jiabin;
Wang Xiaoyi;
Xu Jiping;
Qin Xiaofei;
Zheng Jun
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.pp6594-6601
In order to solve the problem that the SVPWM over modulation caused the fluctuation of steady-state speed in the flux weakening region of surface-mounted permanent magnet synchronous motor (PMSM), by analyzing the mechanism of the leading angle flux weakening control algorithm, the conclusion is that the sixth harmonic of inverter output voltage caused by SVPWM over modulation which is transmitted to the d-q reference currents through the flux weakening voltage close-loop deteriorates the current and speed control performance. A notch filter is designed in the voltage close-loop to filter the sixth harmonic component of the input voltage signal, meanwhile the other signal components are not affected. The experiment results show that, after adding notch filter, the sixth harmonic component of the input voltage signal is significantly reduced and the current waveforms are remarkably improved, so that the flux weakening speed control performance is effectively enhanced.
Model Identification of Traveling Wave Ultrasonic Motor Using Step Response
Shi Jingzhuo;
Zhang Caixia
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.pp6742-6749
Ultrasonic motor’s model adapting to control application is the foundation of the motor’s high performance control. Ultrasonic motor’s frequency-speed control model gives a signification to improve speed control performance. This paper shows the design of stepping response experiments, and also explains the model identification of USM by the way of characteristic point method. Considering its time-varying characteristic, model parameters can be fitted using functions with the independent variable is frequency or speed. Consequently, non-linearity can reflect in speed control model appropriately.
Pilot-aided Joint Channel Estimation for OFDM Based Cooperative Multi-cell Networks
Yuan Wang;
Zhongpei Zhang;
Yixian Chen
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.pp6860-6867
Multi-cell joint channel estimation (JCE) is the basis for application of multi-cell cooperative processing. For weakness of the existing algorithms that power delay profile (PDP) knowledge of all multiple cells need be known or pilot sequence sets of all cells must be identical, in this paper, a pilot-aided time domain JCE algorithm is presented. And then, by using Generalized Akaike Information Criterion (GAIC) to estimate PDPs of all cells for reducing the signal space of channel estimation, the paper further optimizes this JCE algorithm. Simulation results show that the proposed algorithms have good mean square error (MSE) and corresponding space frequency block coded (SFBC) cooperative multi-cell transmission system has the good bit error rate (BER) performance too.
Robust Provable Data Possession Protocol
Chao Feng;
Yixian Yang;
Jing Zhang;
Yang 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.pp6969-6977
Provable data possession (PDP) is a technique for ensuring the validity of data in storage outsourcing. The main issue is how to frequently, efficiently verify that an untrusted server is correctly storing its client’s outsourced data. In this paper, we introduce a robust provable data possession protocol that allows a client that has stored he/her data at an untrusted server to verify the validity of data without retrieving it. The client preprocesses the data and sends it to an untrusted server for storage, while keeping a small amount of meta-data. Then the client generates probabilistic proofs of possession by sampling a random set of blocks from the server to prove that the stored data has not been tampered with or deleted, which drastically reduces I/O costs. In additions, by means of the careful integration of online codes and PDP (O-PDP), the scheme can recovers a small amount of the file, once it has been deleted. Finally, we conduct an experimental evaluation to study the performance, and robustness of O-PDP.
Fuzzy PID Speed Control of Two Phase Ultrasonic Motor
Ma Qiujie;
Shi Jingzhuo
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.pp6560-6565
Because of ultrasonicmotor’s time-variable nonlinearity, a online adaptive correction of PID controlparameters based on fuzzy logic is presented. The special nature of ultrasonicmotor’s speed control are fully taken into account in designing fuzzy rules.The amplitude of driving voltage is used as the control parameter to realizethe control method. The experiments indicate that the control characteristicsare much better than that of PID controller.
Design and Study on Dynamic Measuring System for Field Surface Roughness
Lv Xiao-Rong;
Liu Ming-Dan;
Lv Xiao-Lian
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.pp6691-6698
Explore the adaptability and relationship of planter to field surface roughness. Through field test of the designed dynamic testing system of field surface roughness, the two types of field surface roughness were detected on the original field surface roughness formed by the working rotary and the field surface roughness formed after planters work. The transfer functions of the system were established, and the dynamic characteristics of the system were analyzed. The results show that, the system is a linear one with the typical first order feature. The dynamic characteristics of the systems such as response speed, frequency bandwidth and thickness of covering soil and other performance indicators are able to meet the requirements of agricultural technology.
Application of adaptive predictive Deconvolution in Marine Seismic Data
Si-xin Zhu;
Bin Wang
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.pp6827-6832
Aiming at reverberation and interlayer multiple short period common multiples, with predictive deconvolution multiple attenuation methods exist this problem several residues, through the design of adaptive filter, iterative formula of least mean square algorithm to update the adaptive predictor of key parameters of deconvolution, predictive step and factor by multiple wave length distribution period and different to automatically set the range. Through the model experiment, the method of reverberation, interlayer multiples were especially obvious effect data, and verified by practical data analysis maps, some key results contrast income, show that the method has a good application prospect.
Short-term Traffic Flow Prediction Based on Multivariable Phase Space Reconstruction and LSSVM
Duo Zhang;
Fengqing Han
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.pp6946-6953
Real-time and accurate short-term traffic flow prediction is the premise and key of intelligent traffic control and guidance system. According to this problem, this paper put forward a prediction model based on multivariable phase space reconstruction and least squares support vector machine (LSSVM). First, the model confirms embedding dimension and delay time of the traffic flow, occupancy and average speed time series by analyzing their chaotic characteristics, and reconstructs multivariable state space. Second, the phase points obtained after reconstruction are as input, and the last traffic flow parameters came from the following phase points are as output. Finally, the LSSVM which be trained is adapted to realize short-term traffic flow prediction. This research compares this model with a model based on univariate phase space reconstruction and LSSVM, and the results show that the model proposed in this paper predicts better.
Chord-based Quantum Botnet Research
Wang Xin-Liang;
Lu Nan;
Gao Qing-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.pp7046-7053
In order to make the controller better to master the botnet, the traditional chord-based botnets ensure that all adjacent nodes can maintain the periodic communication so that the routing table of every node could keep accurate and efficient. The periodic communication behavior will also increase the risk of exposure of the traditional chord-based botnets. Once one of the peers is captured by network security device, more peers will be captured based on periodic communication behavior of chord-based botnets that leads to affect the botnet robustness. For the aforementioned problems in the traditional chord-based botnet, this paper will construct a quantum botnet control platform based on the improved B92 protocol. The in-depth analysis showed that the infected hosts in the chord-based quantum botnet can more quickly be increased, and can maintain a larger scale compared with the traditional chord-based botnet. So the chord-based quantum botnet owns better robustness and stability.