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
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;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1340590
