Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
June 19, 2026AutomationOpen Access

Deep Deterministic Policy Gradient-Based ADRC for Quadrotor Altitude and Attitude Control Subject to Disturbance

View Full Paper
Ask AI
Bookmark
Share

Authors

SSSini SanalATAnanthan Thangavelu

Discussion

Loading...

Member takes

Overview

Randomized trial demonstrates enhanced disturbance rejection in quadrotors, indicating improved control performance.

Key Points

  • The study aims to enhance quadrotor control by integrating reinforcement learning with active disturbance rejection control (ADRC).
  • A reinforcement learning agent is trained to adapt the gain for roll-channel control.
  • Composite external disturbances are introduced to evaluate robustness.
  • Simulations analyze performance metrics including settling time and control effort.
  • 90% faster settling time achieved during disturbances compared to conventional ADRC.
  • Root mean square (RMS) control effort reduced by 5.1%.
  • Peak input suppression improved by 7.6%, validating the effectiveness of the adaptive approach.

Cite This Study

Sanal et al. (2026) studied this question.

synapsesocial.com/papers/6a34de1265a5b0777af2d8cchttps://doi.org/10.3390/automation7030091
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A multi-strategy pigeon-inspired optimization approach to active disturbance rejection control parameters tuning for vertical take-off and landing fixed-wing UAV2021 · 66 citations
  2. 2Fault Tolerant Predictive Control Based on Discrete-Time Sliding Mode Observer for Quadrotor UAV2018 · 7 citations
  3. 3A novel robust attitude control for quadrotor aircraft subject to actuator faults and wind gusts2017 · 127 citations
  4. 4Optimization Design and Application of Active Disturbance Rejection Controller Based on Intelligent Algorithm2019 · 38 citations
  5. 5Development of sliding mode observers for estimating sideslip angle and lateral forces in road vehicles2025 · 3 citations