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Balance control based on six-dimensional spatial mechanics and velocity adjustment through region intervention and foot landing for quadruped robot

Published online by Cambridge University Press:  26 January 2022

Bende Luo Open the ORCID record for Bende Luo [Opens in a new window]
Bende Luo*
Affiliation:
School of Mechanical and Automotive Engineering, South China University of Technology, People’s Republic of China
*
E-mail: luobd1997@163.com
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Abstract

Currently, the body balance control algorithm of a quadruped robot executing trot gait motion is more complex and computationally intensive, which is not conducive to improving the real-time control performance of the robot. This paper proposes a six-dimensional spatial mechanics decoupling algorithm to enhance the balance control accuracy during trot gait while optimizing the computational effort. A 6 × 6 matrix is established to describe the relationship between six ground reaction forces of the diagonal supporting leg and six spatial forces and torques controlling robot degrees of freedom, which is optimized to reach the full rank. Decoupling calculation is adopted to obtain required ground reaction forces by matrix inverse operation, and forces are converted to joint motor torques utilizing the Jacobian matrix. The trajectory of the swing leg foot is generated based on cubic interpolation, and the robot motion speed is adjusted by selecting the landing point. This paper also proposes a region intervention control method based on center of mass projection to regulate the moving speed while ensuring the balance of the robot. Finally, the algorithm is verified by simulation using open source software Webots. The results show that when the robot moves at an average speed of 0.5 m/s, the lateral displacement change of the robot is less than 0.009 m, the height change is less than 0.003 m, and the rotating angles around the x, y, and z axes are less than 0.0036 rad, 0.0013 rad, and 0.001 rad, respectively.

Keywords

body balance controlquadruped robottrot gaitsix-dimensional spatial mechanicscubic interpolationlanding pointregion intervention control
Type
Research Article
Information
Robotica , Volume 40 , Issue 8 , August 2022 , pp. 2855 - 2877
Copyright
© The Author(s), 2022. Published by Cambridge University Press

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