Robust Formation Control for Cooperative Underactuated Quadrotors via Reinforcement Learning.

Zhao, Wanbing; Liu, Hao; Lewis, Frank L · IEEE Trans Neural Netw Learn Syst · 2021

basic_science · Level V

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Abstract

In this article, the model-free robust formation control problem is addressed for cooperative underactuated quadrotors involving unknown nonlinear dynamics and disturbances. Based on the hierarchical control scheme and the reinforcement learning theory, a robust controller is proposed without knowledge of each quadrotor dynamics, consisting of a distributed observer to estimate the position state of the leader, a position controller to achieve the desired formation, and an attitude controller to control the rotational motion. Simulation results on the multiquadrotor system confirm the effectiveness of the proposed model-free robust formation control method.