iosr-JEEE   Volume-3 ~ Issue-5

Abstract: In this paper, a Cognitive Radio based Medium Access Control (CR-MAC) protocol for Wireless Sensor Networks that utilizes cognitive radio transmission is used. In cognitive radio (CR) networks, identifying the available spectrum resource through spectrum sensing, deciding on the optimal sensing and transmission times, and coordinating with the other users for spectrum access are the important functions of the medium access control (MAC) protocols. In this paper, the sensor nodes are classified into nodes of critical information, and nodes of non-critical information. The CR-MAC protocol prioritizes the critical packets access to the transmission medium by transmitting them with higher power while transmitting lower priority packets using lower transmission power. The network throughputs can be improved by increasing number of traffic rate, also the end-to-end delay will minimizes by CR-MAC protocol. And a motive to take advantage of heavy traffic rate which may occur at the receiver, a higher priority packet experience collision only when there are more than one critical packet transmission at the same time slot while non critical packets experience collision when there are more than one transmission at the same time slot.
Keywords -Cognitive radio, Wireless sensor network, CR-MAC

Journal Papers:
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[6] N. Timmons, and W. Scanlon, "Analysis of the Performance of IEEE 802.15.4 for Medical Sensor Body Area Networking". IEEE Conference on Sensor and Ad Hoc Communications and Networks, pages 16 – 24, October 2004.
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Abstract:The Electrical power quality issue has attained considerable attention in last decade due to large penetration of power electronics based loads and microprocessor based controlled loads. These devices introduce power quality problem on one hand and these mal-operate due to induced power quality problems on other hand. The various techniques for classification or recognition of power quality disturbances in electrical power system have been proposed so far in different papers. This paper presents a comprehensive overview of different techniques used for feature extraction and classification of power disturbance. This paper helps the researchers to know about the different methods presented so far for power quality disturbance classification or recognition, so that further work on power quality improvement can be carried out for better results.
Keywords: artificial intelligence techniques, feature extraction, genetic algorithm, PQ disturbances, power system, power quality, PQ event classifier.

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[6] Inigo Monedero, Carlos Leon, Jorge Ropero, Antonio Garcia, Jose Manuel and Juan C. Montano, Classification of Electrical Disturbances in Real Time Using Neural Networks, IEEE Transaction on Power Delivery, 2007, 1-9.

[7] D. Saxena, K.S. verma and S.N. Singh, Power quality event classification: an overview and key issues, International Journal of Engineering, Science and Technology, Vol. 2, No.3, 2010, 186-199.

[8] S.Edwin Jose, and S.Titus, Detection and classification of Power Quality using Adaptive decomposition structure and neural network, European Journal of Scientific Research,Vol.89, No.3, October 2012, 477-489.

[9] R. swarna Latha, Ch. Sai Babu, and K. Durga Syam Prasad, Detection & analysis of power quality disturbances using wavelet transforms and SVM, International research Journal of Signal Processing, Vol. 2, No. 2, 2001, 58-69.

[10] Emmanoiuil Styvaktakis, Irene Y.H. Gu, Math H.J. Bollen, Voltage dip detection and power system transients, IEEE Transactions Power Engineering Society Summer Meeting, Vol. 1, 15-19 July 2001, 683-688.

Abstract:Long distance AC transmission system is often subjected to stability problems which limit the transmission capability. Large power systems often suffer from weakly damped swings between synchronous generators. This paper aims to enhance the transient stability of the power system with the use of distributed static series compensator (DSSC) and DSSC with fuzzy logic controller (FLBDSSC). First of all, a detailed simulation model of the DSSC has been presented. DSSC has a function like static synchronous series compensator (SSSC) but is in smaller size and lower price along with more other capabilities. Likewise, DSSC lies in transmission lines in a distributed fashion. In this work, we designed a fuzzy logic controller to use the DSSC for enhancing transient stability in in a two-machine, two-area power system. The parameters of the fuzzy logic controller are varied widely by a suitable choice of membership function and parameters in the rule base. Simulation results demonstrate the effectiveness of the fuzzy controller for transient stability enhancement by DSSC.

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Abstract:The feasibility of using a solar photovoltaic array to drive water-pumping units for irrigation and drinking water in remote areas, where other sources of power are not available has been demonstrated. Solar energy, being very costly at present, is to be used very judiciously. Hence, it is very important that the SPV (Solar Photovoltaic) modules operate at its maximum power point all the time. As the insolation and temperature vary, the maximum power point of the SPV array also changes. Due to the relative high cost of solar cell, it is very important that maximum power is extracted out of the SCA to minimize the required size of the SCA and hence the cost of the pumping system. The modelling of maximum power point trackers (MPPTs) has become common to the control system of SPV water pumping systems by selecting the converter-chopping ratio of MPPT using ANN. The models are integrated by a simulation program MATLAB
Index Terms: ANN controller, array, chopping ratio, insolation, MPPT, SCA, and SPV

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Abstract:This paper presents a current fed full bridge boost DC/AC/DC converter with transformer isolation. However, Higher frequencies result in the increase of transistor switching losses, and thus, the converter's effectiveness is limited. For this reason, to minimize the converter switching losses this converter with transformer isolation operating without switching power dissipation has been implemented. In the proposed scheme, PIC16F72 controller is used to produce signals. An universal motor of 150W, 30V-90V, 1.6A-5A rating and a resistive load(incandescent lamp with different watts) are used as load for testing the developed hardware. Textronics TDS2024B storage oscilloscope is used to store the gate pulses and waveforms.
Keywords: MOSFETs, Bridge, Universal motor, DC/DCAC/DC converter, Resonant tank.

[1] R. Y. Chen, R. L. Lin, T. I. Liang, I. F. Chen, and K. C. Tseng, "Current fed full-bridge boost converter with zero current switching
for high voltage applications," in Conf. Rec. IAS Annu. Meeting, 2005, vol. 3, pp. 2000–2006
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[5] S.Ajitha, N.Kalaiarasi "Implementation of Full-Bridge Current-Fed Resonant Boost Converter using PIC microcontroller" ©2010
International Journal of Computer Applications (0975 – 8887) Volume 1 – No. 7

Abstract:Induction Motors have many applications in the industries, because of the low maintenance and robustness. The speed control of induction motor is more important to achieve maximum torque and efficiency. This paper presents an integrated environment for speed control of vector controlled Induction Motor (IM) including simulation. The integrated environment allows users to compare simulation results between classical and artificial intelligent controllers. In recent years, the field oriented control of induction motor drive is widely used in high performance drive system. It is due to its unique characteristics like high efficiency, good power factor and extremely rugged nature of Induction motor. The fuzzy logic controller and artificial neural network controllers are also introduced to the system for keeping the motor speed to be constant when the load varies. The speed control scheme of vector controlled induction motor drive involves decoupling of the speed and reference speed into torque and flux producing components. The performance of fuzzy logic and artificial neural network based controller's is compared with that of the conventional proportional integral controller. The dynamic modeling of Induction motor is done and the performance of the Induction motor drive has been analyzed for constant and variable loads.
Keywords: Dynamic Modeling, Fuzzy PI Controller, Artificial Neural Network, Vector Control

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[6] M. Nasir Uddin and Muhammad Hafeez.FLC-Based DTC Scheme to Improve the Dynamic Performance of an IM Drive," IEEE Trans. on Industry Applications , Vol -48 , No 2, Mar/Apr 2012; 823-831.
[7] M. Nasir Uddin, Hao Wen . Development of a Self-Tuned Neuro-Fuzzy Controller for Induction Motor Drives. IEEE Trans on industry application. vol. 43, no. 4, July/august 2007,pp 1108-1116.
[8] M Nasir Uddin, Tawfik S. Radwan and Azizur Rahman, Performance of Fuzzy logic based indirect vector control for induction motor drive. IEEE Trans on industry application, volume 38, no.5 Sept /Oct 2002, pp 1219-1225.
[9] Besir Dandil ,Muammer Gokbulut Fikrat Ata, A PI Type Fuzzy –Neural Controller for Induction Motor Drives, Journal of Applied
Sciences 5(7) 2005, pp 1286-1291.
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Abstract:This paper presents a modified z-source inverter which is an effective method for reduction of leakage current in three phase transformer less grid connected PV systems. Another modulation technique along with z-source used are space vector pulse width modulation technique which improves the accuracy of leakage current by maintaining common mode voltage (CMV) constant. The new topology only requires an potential isolator which stabilize the leakage current output from the z-source inductanceand a fast recovery diode comparing with original structure. Simulation results for the three-phase transformerless PV system operating in two cases, i.e., connected to a grid and connected to a grounded RL load, are presented. The SVM control algorithm presented in this paper is implemented through Matlab/Simulink tool and verified.
Index Terms: Energy conversion, photovoltaic (PV) power systems, pulse width-modulated power converters.

[1] F. Blaabjerg, R. Teodorescu, M. Liserre, and A. V. Timbus, "Overviewof control and grid synchronization for distributed power
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capability," IEEETrans. Power Electron., vol. 24, no. 2, pp. 409–415, Feb. 2009.