Quasi-LPV Control of Multiple Quadrotors for Cooperative Suspended Payload Transportation

This paper presents a quasi-linear parameter-varying (quasi-LPV) control framework for the cooperative transportation of a cable-suspended payload using multiple quadrotors. The main objective is to exploit systematic linear-system control techniques to reduce the complexity of the controller design while retaining the relevant nonlinear dependencies of the multi-vehicle system. The proposed architecture is organized into two interconnected levels: a payload-level force allocation stage and a vehicle-level quasi-LPV control stage. At the payload level, the required resultant force is distributed among the suspension cables through a regularized least-squares formulation. At the vehicle level, the nonlinear quadrotor dynamics are represented by a polytopic quasi-LPV model using measurable scheduling variables. An integral state-feedback controller is synthesized through linear matrix inequalities (LMIs), incorporating an H∞ criterion to attenuate the effect of cable-induced interaction forces on the tracking performance. Numerical simulations are performed for formations composed of three, five, and ten quadrotors following circular, figure-eight, and three-dimensional reference trajectories, respectively. The results show accurate payload and vehicle trajectory tracking, bounded cable-force allocation errors, and consistent performance as the number of cooperating vehicles increases. These results demonstrate that the quasi-LPV formulation enables linear control-design tools to be effectively applied to a nonlinear and strongly coupled cooperative aerial transportation system.

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Publication Details

Journal
Automation
Published
2026-09-25
DOI
https://doi.org/10.3390/automation7050154
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Quasi-LPV Control of Multiple Quadrotors for Cooperative Suspended Payload Transportation

Felipe D. J. Sorcia‐Vázquez, Jorge Aurelio Brizuela Mendoza, Jesse Yoe Rumbo Morales, Gerardo Ortíz-Torres et al.
Automation
Adaptive Control of Nonlinear Systems
article

Quasi-LPV Control of Multiple Quadrotors for Cooperative Suspended Payload Transportation

Felipe D. J. Sorcia‐Vázquez, Jorge Aurelio Brizuela Mendoza, Jesse Yoe Rumbo Morales, Gerardo Ortíz-Torres, Alan F. Pérez-Vidal, Manuel A. Zurita-Gil, Jorge A. Adriano-Colesio
article en

Abstract

This paper presents a quasi-linear parameter-varying (quasi-LPV) control framework for the cooperative transportation of a cable-suspended payload using multiple quadrotors. The main objective is to exploit systematic linear-system control techniques to reduce the complexity of the controller design while retaining the relevant nonlinear dependencies of the multi-vehicle system. The proposed architecture is organized into two interconnected levels: a payload-level force allocation stage and a vehicle-level quasi-LPV control stage. At the payload level, the required resultant force is distributed among the suspension cables through a regularized least-squares formulation. At the vehicle level, the nonlinear quadrotor dynamics are represented by a polytopic quasi-LPV model using measurable scheduling variables. An integral state-feedback controller is synthesized through linear matrix inequalities (LMIs), incorporating an H∞ criterion to attenuate the effect of cable-induced interaction forces on the tracking performance. Numerical simulations are performed for formations composed of three, five, and ten quadrotors following circular, figure-eight, and three-dimensional reference trajectories, respectively. The results show accurate payload and vehicle trajectory tracking, bounded cable-force allocation errors, and consistent performance as the number of cooperating vehicles increases. These results demonstrate that the quasi-LPV formulation enables linear control-design tools to be effectively applied to a nonlinear and strongly coupled cooperative aerial transportation system.

AutomationVol. 7(5)
Universidad de Guadalajara (MX)
Openalex Percentile: Top 15%
Adaptive Control of Nonlinear Systems
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