DocumentCode :
1845353
Title :
Optimal load coordination in a hybrid bi-axis drive system using genetic algorithm
Author :
Kaviani, Ali ; Behrooz, Morteza ; Mohammed, Osama
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
fYear :
2010
fDate :
7-10 Nov. 2010
Firstpage :
939
Lastpage :
944
Abstract :
This paper presents a new approach to optimal load coordination in hybrid bi-axis drive systems. The idea is to utilize the regenerated energy from decelerating motors to supply other loads on a common DC bus. In this study, we applied a genetic algorithm to find the optimal time delay between the operations of two permanent magnet motor-drives in order to minimize the amount of energy purchased from the utility grid. The results indicate that optimal coordination significantly improves the performance and efficiency of the system.
Keywords :
genetic algorithms; motor drives; permanent magnet motors; DC bus; genetic algorithm; hybrid biaxis drive system; optimal load coordination; optimal time delay; permanent magnet motor-drives; utility grid; Acceleration; Drives; Hysteresis motors; Induction motors; Permanent magnet motors; Torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Glendale, AZ
ISSN :
1553-572X
Print_ISBN :
978-1-4244-5225-5
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2010.5675161
Filename :
5675161
Link To Document :
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