Elliptical Encircling of Quadrotors for a Dynamic Target Subject to Aperiodic Signals Updating

• Published in: IEEE transactions on intelligent transportation systems Vol. 23; no. 9; pp. 14375 - 14388
• Main Authors: Yue, Xiaohui, Shao, Xingling, Zhang, Wendong
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: aperiodic signals updating; Attitude control; Control theory; Dynamic stability; dynamic target; elliptical encircling; Feedback control; Guidance (motion); Kinematics; Longitudinal control; Quadrotors; Robust control; Rotary wing aircraft; Stability analysis; System dynamics; Target tracking; Transmission line matrix methods; Tuning; Uncertainty; unknown system dynamics estimator; Vehicle dynamics
• ISSN: 1524-9050; 1558-0016
• DOI: 10.1109/TITS.2021.3127722

This paper presents an elliptical target encircling control policy of quadrotors subject to uncertainties and aperiodic signals updating based on pure bearing measurements. At the translational level, by resorting to bearing-only data, rather than prior position and velocity information of target, a position estimator is constructed for locating the unknown target. Utilizing the localization result from position estimator, compared to the existing circular surrounding alternatives, a planar elliptical guidance law capable of adapting more sophisticated operational environment, and a longitudinal control law are synchronously established to generate the velocity reference. At the rotational level, an unknown system dynamics estimator (USDE) is introduced to online neutralize total adverse effect induced by exogenous disturbances and internal uncertainties, where high precision estimation and low computational complexity can be guaranteed with only one tuning argument, then an event-triggered robust attitude controller carrying a sampling deviation compensation item is synthesized accomplishing elliptical encircling for a dynamic target without involving Zeno behavior. Finally, stability of closed-loop system is analyzed via input-to-state stable principle, while simulations are given to verify the efficacy of suggested approach.