Optimization design of electric servo based on dynamic performance and reliability

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationINDIN 2012 - IEEE 10th International Conference on Industrial Informatics
Pages1025-1030
Number of pages6
DOIs
StatePublished - 2012
EventIEEE 10th International Conference on Industrial Informatics, INDIN 2012 - Beijing, China
Duration: 25 Jul 201227 Jul 2012

Publication series

NameIEEE International Conference on Industrial Informatics (INDIN)
ISSN (Print)1935-4576

Conference

ConferenceIEEE 10th International Conference on Industrial Informatics, INDIN 2012
Country/TerritoryChina
CityBeijing
Period25/07/1227/07/12

Keywords

  • Electric servo
  • Optimization design
  • Particle Swarm Optimization
  • Reliability

Fingerprint

Dive into the research topics of 'Optimization design of electric servo based on dynamic performance and reliability'. Together they form a unique fingerprint.

Cite this