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Low-Frequency Elastic Mode Identification and Autonomous Control Technology for Launch Vehicles

  • Zhengyu Song*
  • , Wenhao Ding
  • , Hao Pan
  • , Changzhu Wei
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • China Aerospace Science and Technology Corporation
  • School of Astronautics, Harbin Institute of Technology
  • Beijing Aerospace Automatic Control Institute

Research output: Contribution to journalArticlepeer-review

Abstract

Separating rigid-body motion from elastic vibrations in launch vehicles is critical yet challenging, especially when the first-order elastic frequency is close to or coincident with the rigid-body control bandwidth. To address this, this paper proposes a novel control technology that leverages existing onboard sensors without requiring additional hardware. The key innovations are as follows: First, a signal differencing strategy using two inertial measurement devices at distinct locations is employed to eliminate rigid-body components physically, isolating pure elastic information. Second, a direct lattice adaptive notch filter (DLANF) with a forward–backward error-normalized stochastic gradient algorithm is applied to accurately track time-varying elastic frequencies. Third, based on these identified frequencies, a predefined-time nonsingular sliding mode observer is constructed to decouple the rigid-body and first-order elastic signals in the time domain. This approach overcomes the phase-lag limitations of traditional filters and the observability issues of conventional observers. Crucially, the method is validated not only through simulations but also using closed-loop data from an actual rocket flight, demonstrating its capability to identify weak low-order frequencies and recover clean rigid-body states for autonomous stability control.

Original languageEnglish
Pages (from-to)2047-2061
Number of pages15
JournalJournal of Guidance, Control, and Dynamics
Volume49
Issue number7
DOIs
StatePublished - Jul 2026
Externally publishedYes

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