DocumentCode :
569670
Title :
Optimization design of Electric servo based on dynamic performance and reliability
Author :
Xiao, Huafei ; Wang, Shaoping ; Shi, Jiang ; Bian, Mengmeng
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
fYear :
2012
fDate :
25-27 July 2012
Firstpage :
1025
Lastpage :
1030
Abstract :
In order to make the Electric servo meet the system reliability index and have best performance parameters, a optimization design method of Electric servo based on dynamic performance and reliability is proposed. This method includes three steps. The first step is the reliability prediction. Through the reliability prediction, the weak parts of the Electric servo can be found, and the system reliability model can be also established to find the reliability constraints parameters. The second step is the dynamic performance modeling, through the dynamic performance model, which we can get dynamic performance constraints parameters. The last step is optimization design. With reliability constraints parameters and dynamic performance constraints parameters, the common parameters of the reliability and the dynamic performance can be discovered. After that, establishing a target function, drawing the Constraint conditions of the parameters, and using the particle swarm optimization to optimize the common parameters. By adjusting the parameters, the Electric servo can finally meet the system reliability index and have the best performance parameters.
Keywords :
particle swarm optimisation; reliability; servomechanisms; dynamic performance constraints parameters; dynamic performance model; dynamic performance modeling; electric servo; optimization design method; parameter constraint conditions; particle swarm optimization; reliability constraints parameters; reliability prediction; system reliability index; system reliability model; Brushless DC motors; Gears; Optimization; Reliability engineering; Servomotors; Electric servo; Optimization design; Particle Swarm Optimization; Reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Informatics (INDIN), 2012 10th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-0312-5
Type :
conf
DOI :
10.1109/INDIN.2012.6301200
Filename :
6301200
Link To Document :
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