TY - GEN
T1 - Optimization design of electric servo based on dynamic performance and reliability
AU - Xiao, Huafei
AU - Wang, Shaoping
AU - Shi, Jiang
AU - Bian, Mengmeng
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Electric servo
KW - Optimization design
KW - Particle Swarm Optimization
KW - Reliability
UR - https://www.scopus.com/pages/publications/84868248949
U2 - 10.1109/INDIN.2012.6301200
DO - 10.1109/INDIN.2012.6301200
M3 - 会议稿件
AN - SCOPUS:84868248949
SN - 9781467303118
T3 - IEEE International Conference on Industrial Informatics (INDIN)
SP - 1025
EP - 1030
BT - INDIN 2012 - IEEE 10th International Conference on Industrial Informatics
T2 - IEEE 10th International Conference on Industrial Informatics, INDIN 2012
Y2 - 25 July 2012 through 27 July 2012
ER -