Reconfigurable control allocation of multi-surfaces aircraft based on improved fixed point iteration

Kejun Bi, Weiguo Zhang, Chengzhi Chi, Jingkai Zhang

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

For the real-time requirement of reconfigurable control allocation problem in the field of multi-surfaces aircraft, the control allocation scheme based on max direction derivative increment (MDDI) fixed point (FXP) iteration is proposed. The increment update for current iteration along the MDD and the design steps are given. Moreover, the convergence of the improved method is also proved. Comparisons of different methods are simulated in multi-surfaces aircraft model. The simulation results show the rapidity of MDDIFXP method compared with the original one and the effectiveness of the method in solving reconfigurable control allocation problem of multi-surfaces aircraft.

Original languageEnglish
Pages (from-to)45-55
Number of pages11
JournalAdvances in Intelligent Systems and Computing
Volume215
DOIs
StatePublished - 2014

Keywords

  • Control allocation
  • Fixed point arithmetic
  • Improvement
  • Multi-surfaces aircraft
  • Pseudo-inverse method
  • Reconfiguration

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