DOB-Based Neural Control of Flexible Hypersonic Flight Vehicle Considering Wind Effects

Bin Xu, Danwei Wang, Youmin Zhang, Zhongke Shi

Research output: Contribution to journalArticlepeer-review

245 Scopus citations

Abstract

This paper investigates the disturbance observer (DOB)-based neural adaptive control on the longitudinal dynamics of a flexible hypersonic flight vehicle (HFV) in the presence of wind effects. The coupling effect between flexible states and rigid body, and the accessional angle of attack (AOA) due to wind, is modeled as unknown disturbance, where the nonlinear DOB is constructed using the neural approximation. For the weight update in neural networks (NNs), a novel algorithm is proposed with the additional prediction error derived from the serial-parallel estimation model (SPEM) using both neural approximation and disturbance estimation. Different from previous work, the wind effect is taken into the hypersonic flight dynamics for realistic analysis, and the novel controller is designed using compound estimation, where the NN and the DOB are constructed to deal with aerodynamic uncertainty and unknown disturbance. Simulation studies of a flexible HFV with wind effects show that the proposed controller can achieve high tracking accuracy, while the compound estimation can closely follow the system uncertainty with fast convergence.

Original languageEnglish
Article number7926334
Pages (from-to)8676-8685
Number of pages10
JournalIEEE Transactions on Industrial Electronics
Volume64
Issue number11
DOIs
StatePublished - Nov 2017

Keywords

  • Accessional attack angle
  • disturbance observer (DOB)
  • flexible hypersonic flight dynamics
  • neural networks (NNs)
  • wind effect

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