Integral LQR Robust Control for a Hexarotor-UAV Modeled As a qLPV System

This paper presents a model quasi-linear parameter varying (qLPV) and an integral Linear Quadratic Regulator (LQR) controller for an unmanned aerial vehicle type hexarotor. The qLPV model is derived using the nonlinear sector approach, which can accurately represent the hexarotor nonlinear model under bounded nonlinear terms. Meanwhile, the goal of the controller is to achieve trajectory tracking despite disturbances caused by residual rotor speeds and wind disturbances. Trajectory tracking is accomplished by using an integrator comparator block which is divided into three subsystems governed by rotational, altitude and position dynamics. To guarantee robustness against disturbances and tracking error, a H∞ performance criterion is considered. The stability condition and robust performance are formulated using the Lyapunov quadratic function, with sufficient conditions provided by linear matrix inequalities (LMIs). Finally, numerical simulations of the proposed method are illustrated using the hexarotor model.

Authors

Publication Details

Journal
Memorias del Congreso Nacional de Control Automático
Published
2024-12-27
DOI
https://doi.org/10.58571/cnca.amca.2024.090
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integral LQR Robust Control for a Hexarotor-UAV Modeled As a qLPV System

Samuel Gómez‐Peñate, Pedro García, José Pérez, Saúl De Jesús Molina-Domínguez
Memorias del Congreso Nacional de Control Automático
Advanced Control Systems Optimization
article

Integral LQR Robust Control for a Hexarotor-UAV Modeled As a qLPV System

Samuel Gómez‐Peñate, Pedro García, José Pérez, Saúl De Jesús Molina-Domínguez
article en

Abstract

This paper presents a model quasi-linear parameter varying (qLPV) and an integral Linear Quadratic Regulator (LQR) controller for an unmanned aerial vehicle type hexarotor. The qLPV model is derived using the nonlinear sector approach, which can accurately represent the hexarotor nonlinear model under bounded nonlinear terms. Meanwhile, the goal of the controller is to achieve trajectory tracking despite disturbances caused by residual rotor speeds and wind disturbances. Trajectory tracking is accomplished by using an integrator comparator block which is divided into three subsystems governed by rotational, altitude and position dynamics. To guarantee robustness against disturbances and tracking error, a H∞ performance criterion is considered. The stability condition and robust performance are formulated using the Lyapunov quadratic function, with sufficient conditions provided by linear matrix inequalities (LMIs). Finally, numerical simulations of the proposed method are illustrated using the hexarotor model.

Memorias del Congreso Nacional de Control AutomáticoVol. 7(1)
Affordable and clean energy
Openalex Percentile: Top 70%
Advanced Control Systems Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Integral LQR Robust Control for a Hexarotor-UAV Modeled As a qLPV System — Samuel Gómez‐Peñate, Pedro García, et al. · Memorias del Congreso Nacional de Control Automático (2024) | TGRS Research Map | TGRS