Efficiency optimization of induction motors using genetic algorithm and hybrid genetic algorithm - Details

Author：

Tai, Yong (Tai, Yong.) | Liu, Zhaomiao (Liu, Zhaomiao.) (Scholars：刘赵淼) | Yu, Huajin (Yu, Huajin.) | Liu, Jia (Liu, Jia.)

Indexed by：

EI Scopus

Abstract：

Equivalent　circuit　model　of　induction　motors　was　established　and　the　formulas　of　power　losses　were　given.　Motor　efficiency　was　optimized　by　Genetic　Algorithm(GA)　and　Hybrid　Genetic　Algorithm(HGA).　Power　factor,　breakdown　torque　ratio,　locked-rotor　torque　ratio　and　locked-rotor　current　ratio　were　regarded　as　constraints　and　the　optimal　result　is　satisfying.　Genetic　Algorithm　and　Pattern　Search　Algorithm　are　integrated　into　a　composite　algorithm-Hybrid　Genetic　Algorithm.　Motor　efficiency　rises　further　through　Hybrid　Genetic　Algorithm.　©　2011　IEEE.

Keyword：

Induction motors Genetic algorithms Locks (fasteners) Efficiency Equivalent circuits

Author Community：

[ 1 ] [Tai, Yong]China Institute of Atomic Energy, 102413, China
[ 2 ] [Liu, Zhaomiao]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Chaoyang District, Beijing 100124, China
[ 3 ] [Yu, Huajin]China Institute of Atomic Energy, 102413, China
[ 4 ] [Liu, Jia]China Institute of Atomic Energy, 102413, China