Optimization of intelligent control for hydraulic servo system using novel evolutionary algorithm

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

Abstract

This paper presents the controller design with robust and high precision performance based on novel evolutionary algorithm. Robust fuzzy PID controller is developed with the aim to achieve precise tracking performance. Mathematical model is developed that includes LuGre dynamic friction model to accounts for main nonlinearities. The influence of controller parameters on control performance is determined with statistical approach. To acquire the global optimum these parameters are optimized by using novel evolutionary algorithm. Effectiveness and robustness of the proposed controller are compared with fuzzy PID control. Extensive simulation results confirm robust fuzzy PID method is marvelous with high effectiveness, robustness and precise tracking performance under unknown modeling error, parametric uncertainties and external disturbances.

Original languageEnglish
Title of host publication2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
Pages1430-1435
Number of pages6
DOIs
StatePublished - 2008
Event2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 - Hanoi, Viet Nam
Duration: 17 Dec 200820 Dec 2008

Publication series

Name2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

Conference

Conference2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
Country/TerritoryViet Nam
CityHanoi
Period17/12/0820/12/08

Keywords

  • LuGre friction model
  • Nonlinear hydraulic servo system
  • Novel evolutionary algorithm
  • Robust fuzzy PID control

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