Intelligent decision support system and its application in design of flight control systems

  • Xue Chai*
  • , Gang Lin Wang
  • , Zhe Wu
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

To decrease the design workload and shorten the computing time, the intelligent decision support system (IDSS) is used in the flight control system to manage the database, model base, control methods and choose the optimal control law for the aircraft by using the intelligent algorithm in the knowledge-base. The distributed genetic algorithm (DGA) based on the stepping-stone transfer model is used in the development of the intelligent decision algorithm to divide the original population into several subgroups which can parallel inherit and evolve, and the subgroups can exchange each other's information by the transfer operators. To decrease the coding workload, an encode mode, in which the pseudo code and true code are mutually transformed, is used in the coding process. Simulation results show the validness and efficiency of the intelligent decision support system which uses the distributed genetic decision algorithm in the design of flight control systems.

Original languageEnglish
Pages (from-to)833-836
Number of pages4
JournalXi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Volume32
Issue number4
StatePublished - Apr 2010

Keywords

  • Distributed genetic algorithm
  • Flight control system
  • Intelligent decision
  • Pseudo code
  • Transference

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