PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 10, 2026International Journal of Adaptive Control and Signal Processing0 citations

Adaptive Proportional‐Derivative Sliding Mode Control for a Quadrotor With Suspended Double‐Pendulum Payload

View Full Paper
BYBing YanYZYun ZouGWGuangyu Wei

Key Points

  • The research aims to improve quadrotor control by managing payload swing and ensuring stability while transporting a double-pendulum load.
  • Developed an estimator for online parameter estimation without prior system knowledge.
  • Implemented adaptive proportional-derivative sliding mode control to address the double-pendulum effect.
  • Proven asymptotic stability using Lyapunov method and LaSalle's invariance principle without linearization.
  • Significantly improved suppression of payload swing.
  • Enhanced coupling between quadrotor dynamics and suspended payload.
  • Achieved asymptotic stability in closed-loop system without neglecting nonlinear characteristics.

Abstract

ABSTRACT Precise quadrotor positioning and payload swing suppression play an important part in a quadrotor aerial transportation system. However, in most practical scenarios, existing control methods fail to achieve satisfactory performance, mainly because these methods often neglect the double‐pendulum effect caused by the relative rotational motion of the hook and the cargo. To address this characteristic of the suspended double‐pendulum payload, we first propose an estimator to online estimation uncertain system parameters without knowing exact system knowledge. Then, we develop an adaptive proportional‐derivative sliding mode control, where an additional term is introduced in the sliding surface to suppress payload swing and enhance coupling between states. Finally, based on the Lyapunov method and LaSalle's invariance principle, the asymptotic stability of the closed‐loop system is proven without linearizing the original nonlinear dynamics or neglecting certain coupling terms.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Yan et al. (2026) studied this question.

synapsesocial.com/papers/69af953870916d39fea4c8f5https://doi.org/10.1002/acs.70074
Ask AI
Helpful
Bookmark
Share
View Full Paper