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On The Gain Synthesis of Dynamic and Integral Sliding Mode Controllers for Quad Rotorcraft Trajectory Tracking Cover

On The Gain Synthesis of Dynamic and Integral Sliding Mode Controllers for Quad Rotorcraft Trajectory Tracking

Open Access
|Mar 2026

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.

DOI: https://doi.org/10.61822/amcs-2026-0003 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 23 - 35
Submitted on: May 15, 2025
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Accepted on: Nov 21, 2025
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Published on: Mar 21, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Daniel Benítez, Jovani Ortega, Patricio Ordaz, Eduardo S. Espinoza, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.