PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 14, 2026International Journal of Robust and Nonlinear Control0 citations

Predefined‐Time Disturbance Observer Based Command Filtering Control of Free‐Flying Flexible‐Joint Space Robots

View Full Paper
XGXiutao GuJiangsu Maritime InstituteYZYang ZhouJiangsu Maritime InstituteHDHua DengJiangsu Maritime Institute

Key Points

  • The aim is to develop a predefined-time control strategy for free-flying flexible-joint space robots to address system uncertainties and disturbances.
  • Developed a predefined-time stability theorem for nonlinear systems.
  • Created a disturbance observer to estimate unmodeled dynamics and unknown disturbances.
  • Designed a command filtering control scheme with an anti-saturation algorithm and error compensation mechanism.
  • The proposed controller maintains predefined-time stability for the flexible-joint space robots.
  • System states converge within the specified time, ensuring performance despite input saturation and disturbances.

Abstract

ABSTRACT This paper addresses the predefined‐time control issue of free‐flying flexible‐joint space robots (FFSR) under the influence of system uncertainties, external disturbances and input saturation. A novel predefined‐time stability theorem is proposed for a class of nonlinear systems, with convergence time bounded by a user‐specified constant. Building upon this, a predefined‐time disturbance observer is developed to approximate the lumped disturbance, including system parameter perturbations, unmodeled dynamics and unknown disturbances. Additionally, To address the challenges related to “computational explosion” and singularity issue, the theorem is also applied in the design of command filter to estimate the derivative of the virtual control law. Consequently, a predefined‐time command filtering (PTCF) control scheme is further developed, incorporating a novel anti‐saturation auxiliary algorithm and a nonsingular filter error compensation mechanism to compensate for the adverse influence caused by actuator saturation and filter error simultaneously. Lyapunov stability theory and numerical simulations demonstrate that, under the proposed command filtering controller, the FFSR system remains predefined‐time stable, and the system states converge within the user‐specified time.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Gu et al. (2026) studied this question.

synapsesocial.com/papers/6a0567bca550a87e60a1fe97https://doi.org/10.1002/rnc.70569
Ask AI
Helpful
Bookmark
Share
View Full Paper