In this paper, a non-linear model predictive control of a mobile manipulator, consisting of a differential-drive mobile base and a 6 DOF arm, is presented. A novel approach to solve the online optimization problem that reduces the overall computational time is proposed, focusing on solving the trajectory tracking problem for handling and grasping operations of a mobile manipulator. The novelty is the introduction of parameterized control inputs and removing terminal constraints. Experimental results comparing our method with traditional non-linear MPC schemes are also reported. They show that the controller is able to achieve an average Cartesian error on the end-effector position of 2 cm.

Parameterized model predictive control of a nonholonomic mobile manipulator: A terminal constraint-free approach

Bascetta L.;
2019-01-01

Abstract

In this paper, a non-linear model predictive control of a mobile manipulator, consisting of a differential-drive mobile base and a 6 DOF arm, is presented. A novel approach to solve the online optimization problem that reduces the overall computational time is proposed, focusing on solving the trajectory tracking problem for handling and grasping operations of a mobile manipulator. The novelty is the introduction of parameterized control inputs and removing terminal constraints. Experimental results comparing our method with traditional non-linear MPC schemes are also reported. They show that the controller is able to achieve an average Cartesian error on the end-effector position of 2 cm.
2019
IEEE International Conference on Automation Science and Engineering
978-1-7281-0356-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1132249
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