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International Journal of Power Electronics and Drive Systems (IJPEDS)
Published by Institute of Advanced Engineering and Science
ISSN : -     EISSN : 20888694     DOI : -
Core Subject : Engineering,
Control & Systems Engineering Electrical & Electronics Engineering
International Journal of Power Electronics and Drive Systems (IJPEDS, ISSN: 2088-8694, a SCOPUS indexed Journal) is the official publication of the Institute of Advanced Engineering and Science (IAES). The scope of the journal includes all issues in the field of Power Electronics and drive systems. Included are techniques for advanced power semiconductor devices, control in power electronics, low and high power converters (inverters, converters, controlled and uncontrolled rectifiers), Control algorithms and techniques applied to power electronics, electromagnetic and thermal performance of electronic power converters and inverters, power quality and utility applications, renewable energy, electric machines, modelling, simulation, analysis, design and implementations of the application of power circuit components (power semiconductors, inductors, high frequency transformers, capacitors), EMI/EMC considerations, power devices and components, sensors, integration and packaging, induction motor drives, synchronous motor drives, permanent magnet motor drives, switched reluctance motor and synchronous reluctance motor drives, ASDs (adjustable speed drives), multi-phase machines and converters, applications in motor drives, electric vehicles, wind energy systems, solar, battery chargers, UPS and hybrid systems and other applications.
Arjuna Subject : -
Articles 12 Documents
 1   2 
Search results for , issue "Vol 2, No 4: December 2012" : 12 Documents clear
Performance Evaluation of Fuzzy and PI Controller for Boost Converter with Active PFC D. Lenine; Ch. Sai Babu; G. Shankaraiah
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 2, No 4: December 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper, the problem of controlling AC-DC full bridge converter is considered. The control objectives are two, one is guaranteeing a regulated voltage for the connected load and second one is enforcing power factor correction (PFC) with input current sinusoidal. Power factor correction of Boost converter is done by using fuzzy control technique. The inner loop has a current error amplifier which improves the power factor by properly shaping the input current in accordance with its reference. This reference signal is always synchronized and proportional to the line voltage hence the input current comes in phase with the input voltage. Thus by improving the power factor maximum active power can be delivered to the load. The voltage loop is being controlled by the fuzzy controller and the multiplier. Voltage regulation is done by the fuzzy controller and input distortion is minimized by the fuzzy controller. The desired features of an active PFC technique are close to Unity Power Factor operation, less than 10 % total harmonic distortion in line current and simple control strategy. The fuzzy control technique gives better performance during different line voltage and load. The results are verified through MATLAB/Simulink.DOI: http://dx.doi.org/10.11591/ijpeds.v2i4.522
Artificial Neural Network Based Controller for Speed Control of An Induction Motor (IM) using Indirect Vector Control Method Ashutosh Mishra; Prashant Choudhary
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 2, No 4: December 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

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 drive involve decoupling of the stator current in to torque and flux producing components.DOI: http://dx.doi.org/10.11591/ijpeds.v2i4.567

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