Multiple criteria decision making research of flight control system design

Rui Nie, Bai Nan Zhang, Bao Ning Liu, Wei Guo Zhang, Jing Yuan

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

Abstract

It is complex and difficult to tune the parameters of the flight controller. To solve such problem, a multiple objective decision making (MODM) method by using the reference model which is built based on the * C criteria, is proposed. In order to resolve defects of the multiple attribute decision making (MADM) that the arbitrary of the subjective attribute weights and ignoring the objective message of the objective attribute weights, a subjective attribute weights based on the BP neural network by using the MIV (mean impact value) index is proposed. Finally, a combining method based on the TOPSIS is used to give the final attribute weights. The simulation results show that the method could obtain a set of trade-off solutions which satisfy the requirements of the MODM and could tune the controller effectively.

Original languageEnglish
Title of host publicationAdvanced Research on Material, Energy and Control Engineering
Pages334-343
Number of pages10
DOIs
StatePublished - 2013
Event3rd International conference on Engineering Materials, Energy, Management and Control, MEMC 2013 - Wuhan, China
Duration: 19 Jan 201320 Jan 2013

Publication series

NameAdvanced Materials Research
Volume648
ISSN (Print)1022-6680

Conference

Conference3rd International conference on Engineering Materials, Energy, Management and Control, MEMC 2013
Country/TerritoryChina
CityWuhan
Period19/01/1320/01/13

Keywords

  • Flight control system
  • Mean impact value index
  • Multiple attribute decision making
  • Multiple criteria decision making
  • Multiple objective decision making
  • Neural network

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