Enhanced Trajectory Control of Quadrotor UAV Using Fuzzy PID Based Recurrent Neural Network Controller

Enhanced Trajectory Control of Quadrotor UAV Using Fuzzy PID Based Recurrent Neural Network Controller

This paper presents a novel Fuzzy PID-based Recurrent Neural Network (FPIDRNN) controller designed to enhance trajectory control in quadrotor Unmanned Aerial Vehicles (UAVs). Conventional control approaches such as Proportional-Integral-Derivative (PID) and Fuzzy PID (FPID) require extensive tuning...

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Bibliographic Details
Main Authors: Nigatu Wanore Madebo, Chala Merga Abdissa, Lebsework Negash Lemma
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
FPID
FPIDRNN
neural network
PID
unmanned aerial vehicle (UAV)
Online Access:https://ieeexplore.ieee.org/document/10794762/
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https://ieeexplore.ieee.org/document/10794762/

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