DocumentCode
3515160
Title
Optimal design of thruster motor for underwater robot
Author
Changzhi, Sun ; Zhifei, Chen ; Hongyan, Shi
Author_Institution
Sch. of Electr. Eng., Shenyang Univ. of Technol., China
Volume
1
fYear
2004
fDate
15-19 June 2004
Firstpage
349
Abstract
Based on the analysis of the properties of Alopex and chaotic optimization algorithm, a hybrid optimal method is proposed to solve nonlinear constraint optimization design of underwater thruster motor, which can enhance the speed of convergence and improve the accuracy of solution. The distribution curve of air gap flux density at rated load is illustrated.
Keywords
air gaps; chaos; constraint theory; convergence; nonlinear programming; permanent magnet motors; robots; underwater vehicles; Alopex optimization algorithm; air gap flux density; chaotic optimization algorithm; convergence speed; distribution curve; hybrid optimal method; nonlinear constraint optimization design; underwater robot; underwater thruster motor design; Algorithm design and analysis; Biology computing; Chaos; Constraint optimization; Cost function; Logistics; Robots; Space exploration; Sun; Temperature dependence;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN
0-7803-8273-0
Type
conf
DOI
10.1109/WCICA.2004.1340590
Filename
1340590
Link To Document