WU Weiguo, LI Haiwei. Continuous brachiation optimization and experiments for a bionic-ape dual-arm-hands robot[J]. 2019, 51(7): 33-41.DOI: 10.11918/j.issn.0367-6234.201811086.
利用ADAMS与MATLAB/Simulink软件进行仿猿双臂手机器人连续抓握不同间距目标杆的移动控制仿真. 用自行研制的BARDAH-I型仿猿双臂手机器人分别进行了起始杆与中间杆间距1 m
中间杆与目标杆间距依次为0.5、0.6、0.7、0.8 m总计12次实验
实验成功率100%. 实验结果证明所提出的控制方法能够有效提高仿猿双臂手机器人连续移动的成功率.
Abstract
Regarding the problem that the bionic suspension pendulum robot can not grasp the target rod reliably in continuous brachiation process
we propose a staged control strategy
which includes an optimization method to maximize potential energy by adjusting the robot arms’ configuration
a swinging motion optimization method
and a big damping switch and grasp method. For each motion stage
we deduce the desired trajectory of the PID controller of each active joint and the smooth switching condition. Simulations of continuous brachiation between bars with different distance are conducted in the ADAMS software and the MATLAB/Simulink software. Then brachiation experiments are conducted by using the BARDAH robot developed by our lab. In the experiments
the initial bar distance is 1 m and the target bar distance is respectively chosen from 0.5m
0.6 m
0.7 m and 0.8m. For each target bar distance
three experiments are repeated and the success rate of the total 12 brachiation experiments is 100%
which indicates that our control method can effectively improve the success rate of the robot continuous brachiation motion.