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Torque controller design for electrical load simulator with estimation and compensation of parametric uncertainty

  • Beihang University

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

Abstract

This paper proposes adaptive robust controller for electrical load simulator with estimation of parameters uncertainties and updating the model parameters to minimize model error Fuzzy logic is used to estimate the total disturbance which is function of extra torque and mechanical parameters variation. Estimation algorithm for parameters variation is derived from voltage and torque balance equations of electrical load simulator with suitable adaptive learning rate. A robust torque controller is derived from torque state equation of electrical load simulator and its stability is guaranteed using Lyapunov stability analysis. The validity of proposed controller is verified using computer simulations.

Original languageEnglish
Title of host publicationProceedings of 2012 9th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2012
Pages15-21
Number of pages7
DOIs
StatePublished - 2012
Event2012 9th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2012 - Islamabad, Pakistan
Duration: 9 Jan 201212 Jan 2012

Publication series

NameProceedings of 2012 9th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2012

Conference

Conference2012 9th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2012
Country/TerritoryPakistan
CityIslamabad
Period9/01/1212/01/12

Keywords

  • Adaptive Robust control
  • ELS
  • Extra torque and friction
  • Fuzzy Logic

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