On the gain synthesis of dynamic and integral sliding mode controllers for quad rotorcraft trajectory tracking

This study explores the development of two control strategies based on the sliding mode approach for quad rotorcraft trajectory tracking. A dynamic and an integral-type controller are designed to ensure that the sliding surface reaches zero within a finite time, resulting in a PD-like structure. Since this structure aids in determining the gains of robust PD controllers, it is utilized for comparative analysis. To account for uncertain dynamics and external disturbances, this work proposes an offline linear matrix inequality (LMI) algorithm that guarantees ultimate uniform stability for both sliding mode controllers. The primary advantage of the proposed LMI-based strategy is its ability to simplify the implementation of a sliding mode controller in complex systems, overcoming challenges associated with their intricate tuning process. Since the proposed algorithm applies to all three controllers, it facilitates the identification of the most effective one based on the system’s dynamic response. A comparative analysis based on error criteria is performed through numerical simulations to validate the effectiveness of the proposed strategies. In addition, a second comparative analysis is conducted between two widely used robust control strategies from the literature and the proposed ISMC. Finally, the effectiveness of the designed algorithm is evaluated using a complex reference trajectory featuring high maneuverability and high-speed flight.

Authors

Institutions

Publication Details

Journal
International Journal of Applied Mathematics and Computer Science
Published
2026-01-01
DOI
https://doi.org/10.61822/amcs-2026-0003
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the gain synthesis of dynamic and integral sliding mode controllers for quad rotorcraft trajectory tracking

Eduardo S. Espinoza, Daniel Mosquera Benitez, Patricio Ordaz, Jovani Ortega
International Journal of Applied Mathematics and Computer Science
Adaptive Control of Nonlinear Systems
article

On the gain synthesis of dynamic and integral sliding mode controllers for quad rotorcraft trajectory tracking

Eduardo S. Espinoza, Daniel Mosquera Benitez, Patricio Ordaz, Jovani Ortega
article en

Abstract

This study explores the development of two control strategies based on the sliding mode approach for quad rotorcraft trajectory tracking. A dynamic and an integral-type controller are designed to ensure that the sliding surface reaches zero within a finite time, resulting in a PD-like structure. Since this structure aids in determining the gains of robust PD controllers, it is utilized for comparative analysis. To account for uncertain dynamics and external disturbances, this work proposes an offline linear matrix inequality (LMI) algorithm that guarantees ultimate uniform stability for both sliding mode controllers. The primary advantage of the proposed LMI-based strategy is its ability to simplify the implementation of a sliding mode controller in complex systems, overcoming challenges associated with their intricate tuning process. Since the proposed algorithm applies to all three controllers, it facilitates the identification of the most effective one based on the system’s dynamic response. A comparative analysis based on error criteria is performed through numerical simulations to validate the effectiveness of the proposed strategies. In addition, a second comparative analysis is conducted between two widely used robust control strategies from the literature and the proposed ISMC. Finally, the effectiveness of the designed algorithm is evaluated using a complex reference trajectory featuring high maneuverability and high-speed flight.

International Journal of Applied Mathematics and Computer ScienceVol. 36(1)
Universidad Autónoma del Estado de Hidalgo (MX), National Polytechnic School (EC), Land Consolidation and Rehabilitation Center (CN)
Openalex Percentile: Top 11%
Adaptive Control of Nonlinear Systems
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.

On the gain synthesis of dynamic and integral sliding mode controllers for quad rotorcraft trajectory tracking — Eduardo S. Espinoza, Daniel Mosquera Benitez, et al. · International Journal of Applied Mathematics and Computer Science (2026) | TGRS Research Map | TGRS