Entity

Time filter

Source Type

Bhilai, India

Gupta N.,Indian Institute of Technology Roorkee | Singh S.P.,Indian Institute of Technology Roorkee | Dubey S.P.,RCET
2011 2nd International Conference on Computer and Communication Technology, ICCCT-2011 | Year: 2011

Active filters are widely used in electrical distribution system for reactive power compensation and voltage / current harmonic elimination. In this paper, a fuzzy logic controlled, three-phase shunt active filter to improve power quality by compensating reactive power and current harmonics required by a nonlinear load is presented. PI regulator is replaced by fuzzy logic controller to improve the dynamic performance of shunt active filter under varying load conditions. The advantage of fuzzy control is that it is based on defined linguistic rules and does not require any mathematical model of the system unlike the other traditional controller. The compensation process is based on source current sensing only, an approach different from conventional methods. The performance of fuzzy logic controller is compared with PI controller under dynamic load conditions. Simulated studies show that fuzzy controller is found suitable for steady state and transient conditions of load. © 2011 IEEE. Source


Gupta N.,Indian Institute of Technology Roorkee | Singh S.P.,Indian Institute of Technology Roorkee | Dubey S.P.,RCET | Palwalia D.K.,Rajasthan Technical University Kota
International Review of Electrical Engineering | Year: 2011

The simulation and experimental study of a digital signal processor based fuzzy logic controlled, three-phase shunt active power filter to improve power quality by compensating current harmonics and reactive power required by non-linear load is presented. Conventionally, dc-link voltage regulation is achieved by PI controller. However, during load changes, there is considerable variation in dc-link voltage which affects the controller dynamic performance. The proposed work replaced the PI controller by fuzzy logic controller to improve the transient performance of the dc link under fast load variations. The superiority and accuracy of fuzzy controller depends upon linguistic variable set theory and does not require a mathematical model of the system. The proposed control scheme is simple and it is capable of maintaining compensated supply currents sinusoidal and balanced, irrespective of the distortions and unbalance in load currents. Simulations are carried out using MATLAB/Simulink environment to show the effectiveness of the proposed methodology. A laboratory prototype based on TMS320F28335 digital signal processor (Texas Instrument, USA) has been developed to verify the simulations results. Simulated and experimental results reflect the effectiveness of the proposed active power filter control scheme to meet the IEEE-519 standard recommendations on harmonic limits. © 2011 Praise Worthy Prize S.r.l. All rights reserved. Source


Sharma R.K.,RCET | Dewangan A.,C.S.I.T.
2014 IEEE Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2014 | Year: 2014

An interference coordination well suited to OFDMA based wireless network in which cells are divided into special region with various frequency reuse factors, is termed as Fractional Frequency Reuse (FFR). This research focuses on the concept as well working of FFR in Hexagonal geometrical structure for systematic frame work and evaluation. The scheme includes the extensive literature review of both concepts as well as previous research works. The study concludes the need of a simulator for examining and analyzing FFR in orthogonal as well as in synchronous cellular systems. With comparison to the traditional grid model in cellular system, the hexagonal geometry is much consistent with Omni base stations. Therefore, a simulator is designed for the same which is very useful in the industry. © 2014 IEEE. Source


Mishra A.,RCET | Choudhary P.,RCET
International Journal of Power Electronics and Drive Systems | Year: 2012

In this paper, an implementation of intelligent controller for speed control of an induction motor (IM) using indirect vector control method has been developed and analyzed in detail. The project is complete mathematical model of field orientation control (FOC) induction motor is described and simulated in MATLAB for studies a 50 HP(37KW), cage type induction motor has been considered. The comparative performance of PI, Fuzzy and Neural network control techniques have been presented and analyzed in this work. The present approach avoids the use of flux and speed sensor which increase the installation cost and mechanical robustness. The neural network based controller is found to be a very useful technique to obtain a high performance speed control. The scheme consist of neural network controller, reference modal, an algorithm for changing the neural network weight in order that speed of the derive can track performance speed. The indirect vector controlled induction motor drives involve decoupling of the stator current in to torque and flux producing components. © 2012 Institute of Advanced Engineering and Science. All rights reserved. Source


Tomer A.S.,RCET | Dubey S.P.,RCET
2013 Nirma University International Conference on Engineering, NUiCONE 2013 | Year: 2013

This paper presents a complete modeling and performance analysis of six phase Permanent Magnet Synchronous Motor (PMSM) drive system supplied by two voltage source inverters. The Six phase PMSM drive system is reliable, reduces the stator current per phase, and posses high degree of freedom as compared to conventional three phase drives. Vector control technique is used with two Pulse width modulated (PWM) inverters. The proposed model is simulated under various load conditions such as no load, steady load and dynamic load. Computer simulations obtained under various operating conditions have been presented and found satisfactory. © 2013 IEEE. Source

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