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Representation-Free Model Predictive Control for Dynamic Motions in Quadrupeds | IEEE Journals & Magazine | IEEE Xplore

Representation-Free Model Predictive Control for Dynamic Motions in Quadrupeds


Abstract:

This article presents a novel representation-free model predictive control (RF-MPC) framework for controlling various dynamic motions of a quadrupedal robot in three-dime...Show More

Abstract:

This article presents a novel representation-free model predictive control (RF-MPC) framework for controlling various dynamic motions of a quadrupedal robot in three-dimensional (3-D) space. Our formulation directly represents the rotational dynamics using the rotation matrix, which liberates us from the issues associated with the use of Euler angles and quaternion as the orientation representations. With a variation-based linearization scheme and a carefully constructed cost function, the MPC control law is transcribed to the standard quadratic program form. The MPC controller can operate at real-time rates of 250 Hz on a quadruped robot. Experimental results including periodic quadrupedal gaits and a controlled backflip validate that our control strategy could stabilize dynamic motions that involve singularity in 3-D maneuvers.
Published in: IEEE Transactions on Robotics ( Volume: 37, Issue: 4, August 2021)
Page(s): 1154 - 1171
Date of Publication: 13 January 2021

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