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Hierarchy-Based Adaptive Generalized Predictive Control for Aerial Grasping of a Quadrotor Manipulator

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In this paper, an adaptive generalized predictive control (GPC) based on hierarchical control strategy is designed for a quadrotor with a robotic arm. For this nonlinear and coupled system, a… Click to show full abstract

In this paper, an adaptive generalized predictive control (GPC) based on hierarchical control strategy is designed for a quadrotor with a robotic arm. For this nonlinear and coupled system, a two-layer control structure is adopted to achieve more precise trajectory tracking and keep the tracking performance after aerial grasping. The inner-layer controller is a proportional-derivative (PD) controller. The outer-layer subsystem is linearized by input-output linearization first and an adaptive generalized predictive controller is applied. The effectiveness of this approach is verified through the simulation using MATLAB/Simulink. A PD controller with feedforward control input is applied on such a system for a comparative study. Simulation results show that a better tracking performance can be achieved by the proposed strategy.

Keywords: generalized predictive; control; predictive control; adaptive generalized; aerial grasping

Journal Title: Journal of Shanghai Jiaotong University (science)
Year Published: 2019

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