JOURNAL ARTICLE

Discrete-Time Adaptive Fuzzy Command Filtered Backstepping Control for Quadrotor Unmanned Aerial Vehicle Systems: Theory and Experiments

Yang ZhaoLin ZhaoJinpeng YuQing‐Guo Wang

Year: 2024 Journal:   IEEE Transactions on Fuzzy Systems Vol: 32 (6)Pages: 3618-3628   Publisher: Institute of Electrical and Electronics Engineers

Abstract

In this paper, a discrete-time adaptive fuzzy command filtered backstepping control scheme is presented for the altitude and attitude control problems of the quadrotor unmanned aerial vehicle (UAV). The discrete-time controller is designed by using a novel command filtered backstepping method based on the discrete-time system model of the quadrotor, and model uncertainties are handled by using adaptive fuzzy control. Furthermore, the problem of causality is solved by utilizing the first-order filters. The effectiveness of the proposed control scheme is demonstrated by simulation and experiment.

Keywords:
Backstepping Control theory (sociology) Controller (irrigation) Fuzzy logic Computer science Fuzzy control system Attitude control Adaptive control Control engineering Scheme (mathematics) Discrete time and continuous time Control (management) Engineering Mathematics Artificial intelligence

Metrics

18
Cited By
11.45
FWCI (Field Weighted Citation Impact)
28
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Control and Dynamics of Mobile Robots
Physical Sciences →  Engineering →  Control and Systems Engineering

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