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Simulation and experiment research of fatigue tester system based on neural network

  • Zhongcai Pei*
  • , Feiyu Guo
  • , Wei Liu
  • , Zhanlin Wang
  • *Corresponding author for this work
  • Beihang University

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

Abstract

This paper designs a parallel controller based on BP neural network (NN) and PID for fatigue tester system. The controller utilizes the simpleness of PID algorithm and the adaptability of NN. At first, PID controller offers training samples for online studying of NN, then NN studies the contrary model of controlled object step by step and makes the main function through replacing PID. This method reduces the adjusting difficulty of PID parameters. At the same time, it represents good robust when object's rigidity changes. Simulations and experiments prove this method's correctness.

Original languageEnglish
Title of host publication2005 IEEE International Conference on Industrial Technology, ICIT 2005
Pages703-707
Number of pages5
DOIs
StatePublished - 2005
Event2005 IEEE International Conference on Industrial Technology, ICIT 2005 - Hong Kong, Hong Kong SAR
Duration: 14 Dec 200517 Dec 2005

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology
Volume2005

Conference

Conference2005 IEEE International Conference on Industrial Technology, ICIT 2005
Country/TerritoryHong Kong SAR
CityHong Kong
Period14/12/0517/12/05

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