Skip to main navigation Skip to search Skip to main content

基于无迹卡尔曼滤波的超空泡航行体最优控制研究

Translated title of the contribution: Optimal Control of Supercavitating Vehicles Based on Unscented Kalman Filter
  • Chengju Zhang
  • , Cong Wang*
  • , Wei Cao
  • , Jinqiang Wang
  • *Corresponding author for this work
  • School of Astronautics, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

An optimal control method based on unscented Kalman filter is proposed to solve the adverse effects due to environmental and measurement noises. Based on dynamic model of supercavitating vehicle, the environmental and measurement noises are added to the equation of state. An optimal controller without filter and with unscented Kalman filter was simulated and analyzed. Simulated results show that the tracking error of supercavitating vehicle is large, and its movement is extremely unstable under the disturbance of environmental and measurement noises. Under the action of the unscented Kalman filter, the tracking error of supercavitating vehicle is reduced significantly and the supercavitating vehicle reaches a full package state in a short period of time. It has better signal processing results.

Translated title of the contributionOptimal Control of Supercavitating Vehicles Based on Unscented Kalman Filter
Original languageChinese (Traditional)
Pages (from-to)1235-1243
Number of pages9
JournalBinggong Xuebao/Acta Armamentarii
Volume40
Issue number6
DOIs
StatePublished - 1 Jun 2019
Externally publishedYes

Fingerprint

Dive into the research topics of 'Optimal Control of Supercavitating Vehicles Based on Unscented Kalman Filter'. Together they form a unique fingerprint.

Cite this