4.7 Article

Fuzzy-Quantized Elliptical Target Encircling Control of Quadrotors With Arbitrary-Time Convergence

Journal

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
Volume 53, Issue 3, Pages 1826-1840

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2022.3207608

Keywords

Fuzzy logic; Convergence; Uncertainty; Robot kinematics; Quantization (signal); Regulation; Instruments; Arbitrary time; elliptical encircling; fuzzy logic (FL); hysteresis quantizer (HQ); quadrotors

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This article addresses the fuzzy-quantized elliptical target encircling control of quadrotors with arbitrary-time convergence, consisting of translational and rotational designs. The proposed approach includes an arbitrary-time elliptical guidance rule for translational control and a fuzzy-quantized attitude regulation protocol for rotational control. The stability of the overall system is demonstrated and the efficacy of the approach is verified through simulations and experiments.
This article addresses a fuzzy-quantized elliptical target encircling control of quadrotors with arbitrary-time convergence, consisting of translational and rotational designs. At the translational level, an arbitrary-time elliptical guidance rule is designed to empower quadrotors to move along the predefined elliptical path within a prescribed settling time free from initial conditions. At the rotational level, a fuzzy-quantized attitude regulation protocol is developed to stabilize the attitude deviation, where a quantized fuzzy logic is artfully constructed to online recover uncertainties via updating weights with finite states scheduled by a hysteresis quantizer, greatly reducing signal transmission burden. Finally, the overall system stability is demonstrated via input-to-state stable principle, while not only simulations but also experiments are given to verify the efficacy of suggested approach.

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