Nonlinear Model Predictive Control of Tiltrotor Quadrotors using Feasible Control Allocation

This paper presents a new flight control framework for tiltrotor multirotor uncrewed aerial vehicles (MRUAVs). Tiltrotor designs offer full actuation but introduce complexity in control allocation due to actuator redundancy. We propose a new approach where the allocator is tightly coupled with the controller, ensuring that the control signals generated by the controller are feasible within the vehicle actuation space. We leverage Nonlinear Model Predictive Control (NMPC) to implement the above framework, providing feasible control signals and optimizing performance. This unified control structure simultaneously manages both position and attitude, which eliminates the need for cascaded position and attitude control loops. Extensive numerical experiments demonstrate that our approach significantly outperforms conventional techniques that are based on Linear Quadratic Regulator (LQR) and Sliding Mode Control (SMC), especially in high-acceleration trajectories and disturbance rejection scenarios, making the proposed approach a viable option for enhanced control precision and robustness, particularly in challenging missions.

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Institutions

Publication Details

Journal
Journal of Intelligent & Robotic Systems
Published
2025-04-26
DOI
https://doi.org/10.1007/s10846-025-02255-y
Citations
8
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
9.72

Funders

Controls
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article

Nonlinear Model Predictive Control of Tiltrotor Quadrotors using Feasible Control Allocation

Mohammadreza Izadi, Mehdi Salay Naderi, Reza Faieghi, Zeinab Shayan et al.
8 citations
Journal of Intelligent & Robotic Systems
Adaptive Control of Nonlinear Systems
9.72
article

Nonlinear Model Predictive Control of Tiltrotor Quadrotors using Feasible Control Allocation

Mohammadreza Izadi, Mehdi Salay Naderi, Reza Faieghi, Zeinab Shayan, Jann Cristobal, Amin Yazdanshenas
article en
8 citations

Abstract

This paper presents a new flight control framework for tiltrotor multirotor uncrewed aerial vehicles (MRUAVs). Tiltrotor designs offer full actuation but introduce complexity in control allocation due to actuator redundancy. We propose a new approach where the allocator is tightly coupled with the controller, ensuring that the control signals generated by the controller are feasible within the vehicle actuation space. We leverage Nonlinear Model Predictive Control (NMPC) to implement the above framework, providing feasible control signals and optimizing performance. This unified control structure simultaneously manages both position and attitude, which eliminates the need for cascaded position and attitude control loops. Extensive numerical experiments demonstrate that our approach significantly outperforms conventional techniques that are based on Linear Quadratic Regulator (LQR) and Sliding Mode Control (SMC), especially in high-acceleration trajectories and disturbance rejection scenarios, making the proposed approach a viable option for enhanced control precision and robustness, particularly in challenging missions.

Journal of Intelligent & Robotic SystemsVol. 111(2)
St. Michael's Hospital (CA), Technical University of Crete (GR)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 2%
Adaptive Control of Nonlinear Systems
9.72
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Nonlinear Model Predictive Control of Tiltrotor Quadrotors using Feasible Control Allocation — Mohammadreza Izadi, Mehdi Salay Naderi, et al. · Journal of Intelligent & Robotic Systems (2025) | TGRS Research Map | TGRS