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Design of neural network base dynamic inversion compound controller

  • Liu Fang*
  • , Mao Wei
  • , Liu Jiaqi
  • , Chen Wanchun
  • *Corresponding author for this work
  • The National Key Lab of Computational Mathematics and Experimental Physics

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

Abstract

A two time-scale separation based nonlinear dynamic inversion (NDI) control law is designed. And a command decomposing actuator distributing strategy is used to design the NDI compound controller. Lyapunov method is used to analyze the robustness of the compound controller. The result of analysis shows that the robustness of the controller is poor; the performance is even poor when the aerodynamic coefficient uncertainties exist. So a radial basis function neural network observer is introduced to eliminate the inverse error. It is shown that the neural network observer augments the robustness of the controller, especially for the performance.

Original languageEnglish
Title of host publicationWIT Transactions on Information and Communication Technologies
EditorsJenny Ji
PublisherWITPress
Pages83-90
Number of pages8
ISBN (Electronic)9781845649203
DOIs
StatePublished - 1 Mar 2014
Event2013 5th International Conference on Advanced Computer Control, ICACC 2013 - Singapore, Singapore
Duration: 14 Dec 201315 Dec 2013

Publication series

NameWIT Transactions on Information and Communication Technologies
Volume59
ISSN (Print)1743-3517

Conference

Conference2013 5th International Conference on Advanced Computer Control, ICACC 2013
Country/TerritorySingapore
CitySingapore
Period14/12/1315/12/13

Keywords

  • Compound controller
  • Dynamic inversion
  • Neural network observer

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