Robust Formation Control for Cooperative Underactuated Quadrotors via Reinforcement Learning
Wanbing Zhao, Hao Liu, Frank L. Lewis
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.
Topics & Concepts
UnderactuationControl theory (sociology)Reinforcement learningController (irrigation)Computer scienceRobust controlObserver (physics)Nonlinear systemPosition (finance)Control engineeringState observerControl (management)State (computer science)EngineeringControl systemArtificial intelligenceElectrical engineeringEconomicsAlgorithmPhysicsAgronomyFinanceBiologyQuantum mechanicsAdaptive Dynamic Programming ControlDistributed Control Multi-Agent SystemsAdaptive Control of Nonlinear Systems