共 25 条
Joint Torque Estimation toward Dynamic and Compliant Control for Gear-Driven Torque Sensorless Quadruped Robot
被引:0
|作者:
Jin, Bingchen
[1
,2
,3
]
Sun, Caiming
[1
,2
,3
]
Zhang, Aidong
[1
,2
,3
]
Ding, Ning
[1
,2
,3
]
Lin, Jing
[1
,2
,3
]
Deng, Ganyu
[1
,2
,3
]
Zhu, Zuwen
[1
,2
,3
]
Sun, Zhenglong
[1
,2
,3
]
机构:
[1] Chinese Univ Hong Kong CUHK, Inst Robot & Intelligent Mfg IRIM, Shenzhen, Guangdong, Peoples R China
[2] Shenzhen Inst Artificial Intelligence & Robot Soc, Shenzhen, Guangdong, Peoples R China
[3] Peng Cheng Lab, Robot Res Ctr, Shenzhen, Guangdong, Peoples R China
来源:
2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
|
2019年
基金:
中国国家自然科学基金;
关键词:
DESIGN;
IDENTIFICATION;
D O I:
10.1109/iros40897.2019.8968168
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
This paper investigates dynamic and compliant control based on joint output torque estimation for electrically actuated quadruped robots with large-reduction-ratio harmonic gear. Compared with position control, force control exhibits better performance of dynamics and compliance for the robot's interactions with complex environments. However, force control without direct feedbacks from torque sensors may come with poor tracking performance of joint compliance when the robot equipped with gears of high reduction. To solve this problem, we propose a new method to estimate joint torque from motor current and rotation velocity detected on each joint, using a more precise friction model of the harmonic gear. We also introduce a pre-stance phase to the whole cycle of leg alternating swing/stance based on hybrid force and position control to dynamically absorb feet impacts on the ground. Our controller performance is validated by standing experiment and walking experiment.
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页码:4630 / 4637
页数:8
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