TY - GEN
T1 - Leg Parameters Optimization of Wheel-Legged Vehicle Based on Trot Gait
AU - Xie, Jingshuo
AU - Han, Lijin
AU - Liu, Hui
AU - Nie, Shida
AU - Zhao, Xuanhu
AU - Ren, Xiaolei
AU - Shang, Qingyi
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - The leg parameters of the wheel-legged vehicle have a certain influence on the movement in the legged mode and the wheel-legged compound mode of the vehicle. This paper selects the trot gait motion, and optimizes the leg length and mass of the vehicle according to the data under this working condition. We model the kinematics and dynamics, providing model consistency constraints for the optimization problem. Then the commonly used trot gait trajectory is planned, input into the built multibody dynamics model, and the center of mass and wheel information of this working condition are obtained, and these data will be used for optimization problems. We set two goals of minimum torque and minimum energy consumption, determined some necessary constraints, established an optimization problem, and solved it by genetic algorithm. The optimization result is a 16.9% increase in thigh length and a 15.1% decrease in calf length. We resubstitute this result into the multibody dynamics model for simulation and obtain comparative data. Among them, the knee joint torque was reduced by 13.3%, and the total energy consumption of a single leg was reduced by 6.3%, indicating the effectiveness of the optimization.
AB - The leg parameters of the wheel-legged vehicle have a certain influence on the movement in the legged mode and the wheel-legged compound mode of the vehicle. This paper selects the trot gait motion, and optimizes the leg length and mass of the vehicle according to the data under this working condition. We model the kinematics and dynamics, providing model consistency constraints for the optimization problem. Then the commonly used trot gait trajectory is planned, input into the built multibody dynamics model, and the center of mass and wheel information of this working condition are obtained, and these data will be used for optimization problems. We set two goals of minimum torque and minimum energy consumption, determined some necessary constraints, established an optimization problem, and solved it by genetic algorithm. The optimization result is a 16.9% increase in thigh length and a 15.1% decrease in calf length. We resubstitute this result into the multibody dynamics model for simulation and obtain comparative data. Among them, the knee joint torque was reduced by 13.3%, and the total energy consumption of a single leg was reduced by 6.3%, indicating the effectiveness of the optimization.
KW - Based on trot gait
KW - Leg parameters optimization
KW - Minimum torque and minimum energy consumption
KW - Wheel-legged vehicle
UR - http://www.scopus.com/inward/record.url?scp=85199310054&partnerID=8YFLogxK
U2 - 10.1007/978-981-97-0922-9_136
DO - 10.1007/978-981-97-0922-9_136
M3 - Conference contribution
AN - SCOPUS:85199310054
SN - 9789819709212
T3 - Mechanisms and Machine Science
SP - 2153
EP - 2164
BT - Advances in Mechanical Design - The Proceedings of the 2023 International Conference on Mechanical Design, ICMD 2023
A2 - Tan, Jianrong
A2 - Liu, Yu
A2 - Huang, Hong-Zhong
A2 - Yu, Jingjun
A2 - Wang, Zequn
PB - Springer Science and Business Media B.V.
T2 - International Conference on Mechanical Design, ICMD 2023
Y2 - 20 October 2023 through 22 October 2023
ER -