NMPC-Based Unified Posture Manipulation and Thrust Vectoring for Fault Recovery

Multi-rotors face significant risks, as actuator failures at high altitudes can easily result in a crash and the robot’s destruction. Therefore, rapid fault recovery in the event of an actuator failure is necessary for the fault-tolerant and safe operation of unmanned aerial robots. In this work, we present a fault recovery approach based on the unification of posture manipulation and thrust vectoring. The key contributions of this work are: 1) Derivation of two flight dynamics models (high-fidelity and reduced-order) that capture posture control and thrust vectoring. 2) Design of a controller based on Nonlinear Model Predictive Control (NMPC) and demonstration of fault recovery in simulation using a high-fidelity model of the Multi-Modal Mobility Morphobot (M4) in Simscape.

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Publication Details

Journal
IEEE Control Systems Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lcsys.2025.3589412
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

NMPC-Based Unified Posture Manipulation and Thrust Vectoring for Fault Recovery

Morteza Gharib, Adarsh Salagame, Eric Sihite, Alireza Ramezani et al.
IEEE Control Systems Letters
Fault Detection and Control Systems
article

NMPC-Based Unified Posture Manipulation and Thrust Vectoring for Fault Recovery

Morteza Gharib, Adarsh Salagame, Eric Sihite, Alireza Ramezani, Sapan Pandya
article en

Abstract

Multi-rotors face significant risks, as actuator failures at high altitudes can easily result in a crash and the robot’s destruction. Therefore, rapid fault recovery in the event of an actuator failure is necessary for the fault-tolerant and safe operation of unmanned aerial robots. In this work, we present a fault recovery approach based on the unification of posture manipulation and thrust vectoring. The key contributions of this work are: 1) Derivation of two flight dynamics models (high-fidelity and reduced-order) that capture posture control and thrust vectoring. 2) Design of a controller based on Nonlinear Model Predictive Control (NMPC) and demonstration of fault recovery in simulation using a high-fidelity model of the Multi-Modal Mobility Morphobot (M4) in Simscape.

IEEE Control Systems LettersVol. 9
California Institute of Technology (US), Northeastern University (US)
Climate action
Openalex Percentile: Top 80%
Fault Detection and Control Systems
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