menu_book Explore the article's raw data

Adaptive Dynamic Programming-Based Attitude Optimal Tracking Control for a Quadrotor with Unmeasured Velocities and Model Uncertainties

Abstract

This paper proposes an optimal output feedback tracking control scheme of the quadrotor unmanned aerial vehicle (UAV) attitude system with unmeasured angular velocities and model uncertainties. First, neural network (NN) is used to approximate the model uncertainties. Then, an NN velocity observer is established to estimate the unmeasured angular velocities. Further, a quadrotor output feedback attitude optimal tracking controller is designed, which consists of an adaptive controller designed by backstepping method and an optimal compensation term designed by adaptive dynamic programming. All signals in the closed-loop system are proved to be bounded. Finally, numerical simulation example shows that the quadrotor attitude tracking scheme is effective and feasible.

article Article
date_range 2024
language English
link Link of the paper
format_quote
Sorry! There is no raw data available for this article.
Loading references...
Loading citations...
Featured Keywords

Quadrotor
optimal tracking control
neural network velocity observer
model uncertainties
adaptive dynamic programming
Citations by Year

Share Your Research Data, Enhance Academic Impact