Next Article in Journal
Intelligent Control for Quadrotors Based on a Novel Method: TD3-ADRC
Previous Article in Journal
Distributed Consensus-Based Tracking with Inverse Covariance Intersection in Bearing-Only UAV Networks
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Tilt-Rotor Tricopter with State-Constrained Controller Design

1
School of Astronautics, Beihang University, Beijing 102206, China
2
State Key Laboratory of High-Efficiency Reusable Aerospace Transportation Technology, Beijing 102206, China
*
Author to whom correspondence should be addressed.
Drones 2026, 10(2), 109; https://doi.org/10.3390/drones10020109
Submission received: 6 November 2025 / Revised: 14 January 2026 / Accepted: 16 January 2026 / Published: 2 February 2026
(This article belongs to the Section Drone Design and Development)

Abstract

This paper presents a control architecture based on Pixhawk4 to address the transition mode control issue of a tilt-rotor tricopter. While the classical PID controller designed for the rotor mode can handle most engineering applications under normal environmental conditions, it does not fully consider disturbances such as those arising from internal perturbations or the external environment. In response, this paper proposes a controller design with disturbance observation to meet the robustness requirements of the unmanned aerial vehicle (UAV) under perturbed conditions. For the state-constrained control problem of the UAV, the original model is simplified, and a three-channel model for control purposes is introduced. By incorporating a barrier Lyapunov function, the state constraint problem of the UAV is solved, ensuring a smooth transition from rotor mode to fixed-wing mode. To address the high complexity of virtual control law derivatives in backstepping control, a filter is used to estimate the derivatives of the UAV′s virtual states, and a linear extended state observer is introduced to estimate external and transitional disturbances during flight. Lyapunov theory is employed to ensure the closed-loop stability of the control scheme. Finally, inspired by the hunting process of aquilas, the Aquila Optimizer (AO) optimization algorithm is applied to optimize the controller’s hyperparameters, further enhancing the reliability and transient performance of the control system.
Keywords: tilt-rotor tricopter; controller design; state-constrained control; linear extended state observer tilt-rotor tricopter; controller design; state-constrained control; linear extended state observer

Share and Cite

MDPI and ACS Style

Wu, C.; Cheng, H.; Wang, H. Tilt-Rotor Tricopter with State-Constrained Controller Design. Drones 2026, 10, 109. https://doi.org/10.3390/drones10020109

AMA Style

Wu C, Cheng H, Wang H. Tilt-Rotor Tricopter with State-Constrained Controller Design. Drones. 2026; 10(2):109. https://doi.org/10.3390/drones10020109

Chicago/Turabian Style

Wu, Chong, Hao Cheng, and Hua Wang. 2026. "Tilt-Rotor Tricopter with State-Constrained Controller Design" Drones 10, no. 2: 109. https://doi.org/10.3390/drones10020109

APA Style

Wu, C., Cheng, H., & Wang, H. (2026). Tilt-Rotor Tricopter with State-Constrained Controller Design. Drones, 10(2), 109. https://doi.org/10.3390/drones10020109

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop