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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7655
Title: Particle swarm and fuzzy logic based optimal energy control of induction motor for a mine hoist load diagram
Authors: Raj C.T.
Srivastava S.P.
Agarwal, Pramod
Published in: IAENG International Journal of Computer Science
Abstract: This paper investigates the importance of controllers on energy saving opportunity of partial loaded three-phase induction motor in mine hoist applications. The input power of a vector controlled 1 HP induction motor is investigated with three topologies namely constant flux operation, loss model based flux controller using Particle Swarm Optimization (PSO) and search controller in steady-state conditions. In this study, the flux level in a machine has been considered to adjust to give minimum input power for a given load of the motor. Even though flux controllers improve the performance of the motor in terms of minimum input power, they offer ripples in torque and speed of the motor (lower stability). To increase the stability of the motor drive during variable speed and load operation, Fuzzy Pre-compensated Proportional Integral (FPPI) Controller is used and compared its results with conventional Proportional Integral (PI) controller. According to the test results DE along with fuzzy logic outperforms the conventional controllers and saves 100 W power in the test motor. Four benchmark problems are used to validate PSO algorithm. C++ code is used for PSO implementation.
Citation: IAENG International Journal of Computer Science (2009), 36(1): -
URI: http://repository.iitr.ac.in/handle/123456789/7655
Issue Date: 2009
Keywords: Fuzzy logic
Induction motor
Loss minimization
Mine hoist
Particle swarm optimization
ISSN: 1819656X
Author Scopus IDs: 26032708800
7403307033
9733363000
Author Affiliations: Raj, C.T., Department of Electrical Engineering, Indian Institute of Technology, Roorkee, India
Srivastava, S.P., Department of Electrical Engineering, Indian Institute of Technology, Roorkee, India
Agarwal, P., Department of Electrical Engineering, Indian Institute of Technology, Roorkee, India
Corresponding Author: Raj, C.T.; Department of Electrical Engineering, Indian Institute of Technology, Roorkee, India; email: ctr.iitr@gmail.com
Appears in Collections:Journal Publications [EE]

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