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1. 武汉大学 动力与机械学院, 湖北 武汉 430072
2. 中兵智能创新研究院有限公司, 北京 100072
3. 群体协同与自主实验室, 北京 100072
Received:08 August 2023,
Published Online:12 December 2023,
Published:30 November 2023
移动端阅览
Junbei LIAO, Shuowen YI, Fei LEI, et al. Design and Modeling of a Bionic Joint with Continuously Variable Stiffness[J]. Acta Armamentarii, 2023, 44(11): 3269-3278.
Junbei LIAO, Shuowen YI, Fei LEI, et al. Design and Modeling of a Bionic Joint with Continuously Variable Stiffness[J]. Acta Armamentarii, 2023, 44(11): 3269-3278. DOI: 10.12382/bgxb.2023.0730.
机器人仿生关节刚度连续变化功能的设计与控制是柔性驱动技术的难点问题。提出一种可连续变刚度的仿生驱动关节
该关节采用变力臂方式实现从低刚度到高刚度的连续变化
仿生驱动关节主副电机功率比大、结构紧凑。为了分析该仿生驱动关节的弹性变形与负载之间的刚度变化关系
建立有负载条件下的静力学方程
通过数值计算模拟得到关节刚度与主副电机的角度关系
并对仿生驱动关节进行力矩跟踪、阶跃响应和刚度跟踪3种实验。实验结果表明
新设计的变刚度驱动关节在16N
·
m的正弦输出力矩下
最大误差为1.23N
·
m
方差为0.19N
·
m
最大误差占总幅值的7.7%;在刚度跟踪为0.4~1.6N
·
m/(°)范围内、输出扭转角为5°时
误差最大为0.09N
·
m/(°)
占总均值刚度的9.0%。
The design and control of continuous variation capability of robot bionic joint stiffness are the difficult problems in flexible drive technology. In this paper
a bionic joint with continuously variable stiffness is proposed
in which the continuous change from low stiffness to high stiffness is achieved by using a variable moment arm. The main and secondary motors of the bionic joint have large power ratio and compact structure. In order to analyze the relationship between the elastic deformation of bionic joint and the stiffness variation of load
a static model with load conditions is established
and the relationship between the joint stiffness and the angle of main and secondary motors is obtained through simulation. The experiments of torque tracking
step response and stiffness tracking are conducted on the bionic joint. The experimental results show that the bionic joint with continuously variable stiffness has a maximum error of 1.23N·m with a variance of 0.19N·m at a sinusoidal output torque of 16N·m
with the maximum error being 7.7% of the total amplitude
and when the stiffness tracking is in the range of 0.4N·m/(°) to 1.6N·m/(°) for and the output torsion angle is 5°
the maximum error is 0.09N·m/(°)
accounting for 9.0% of the total mean stiffness.
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丁良宏 . BigDog四足机器人关键技术分析 [J ] . 机械工程学报 , 2015 , 51 ( 7 ): 1 - 23 . DOI: 10.3901/JME.2015.07.001 http://doi.org/10.3901/JME.2015.07.001 对BigDog四足机器人的核心技术进行分析,适应复杂地形是BigDog的设计主线。提高横、纵自由度联动能力是BigDog结构设计主要突破点。机体重心颠簸起伏、机体重心自扰动等不良运动特性是四足机器人控制难度大的主要原因。液压动力系统的构成和优点将被剖析,解决腿类移动装置的驱动问题是液压系统研发的根本目的。支撑腿打滑及俯仰和横滚角度是否过大作为监测机体运动安全状态的参数。惯导和关节编码器可检测机身与肢体的状态,借助压力传感器可还原落足点地形,三者合一可构建虚拟模型。借助虚拟模型可求算机体重心等关键控制处理中间参数,运动控制系统可实施粗略的动作预演及精确的运动学和动力学规划。规划模型与样机模型的偏差作为反馈值实施闭环控制。建立以三维激光扫描仪和双目视觉为主的导航系统,视觉地形还原功能可帮助LS3安全跨越岩石地形,软件系统将各种基本功能整合为有机的整体。机器人的自主性与智能性被讨论,利用BigDog/LS3与好奇号火星探测器作对比并加以分析。BigDog目前存在的几个主要问题:液压系统无法瞬时大幅增压、机械传动各种损伤、仿生设计的不彻底性。LS3机器人针对BigDog的不足,多个改进环节被分析。猎豹、野猫、Petman等机器人被简要分析。阿特拉斯双足机器人借助虚拟模型可实现机械臂碰撞保护功能,遭受外力撞击可迅速恢复平衡状态。
DING L H . Key technology analysis of BigDog quadruped robot [J ] . Journal of Mechanical Engineering , 2015 , 51 ( 7 ): 1 - 23 . (in Chinese) DOI: 10.3901/JME.2015.07.001 http://doi.org/10.3901/JME.2015.07.001 The core technology of the BigDog quadruped robot is analyzed. Adapting to the rough terrain is the main design clues of the BigDog. Improving horizontal and vertical degrees of freedom linkage ability is the main innovation of structure design. Not good motion characteristics, such as robot’s center of gravity ups and downs and self disturbance are the main reasons for being difficult to control. The components and advantage of the hydraulic power system are analyzed. Solving the driver problem of legged vehicles is the fundamental goal of the hydraulic system development. Supporting leg slipping or not, pitch and roll angle of the body too large or not are the main parameters as monitoring robot’s movement condition. IMU and joint encoder can detect the state parameters of the body and limbs. Terrain of foot placement can be restored by pressure sensor. Three-in-one can build a virtual model. By the virtual model, robot’s center of gravity and other key control process parameters can be calculated. At the same time, locomotion control system can do action drill roughly and accurate planning of kinematics or dynamics. The deviation of planning and prototype model is taken as the feedback for closed-loop control. LS3 constructs the navigation system of three-dimensional laser scanner and binocular vision as the main. LS3 can stride across rocky terrain by visual terrain reconstruction. Software system can integrate all the basic functions as an organic whole. Autonomy and intelligence of robot are discussed. BigDog/LS3 and Curiosity Mars Rover are compared and analyzed. BigDog has three big problems currently: instantaneously unable to increase hydraulic value significantly, all kinds of damage in mechanical transmission, bionic design not thoroughness. For the inadequacies of BigDog, several improvements are analyzed on the LS3. Petman, Cheetah and Wildcat robot are briefly analyzed. Atlas biped robot has crash protection function and can recovery equilibrium status quickly after external force hitting by virtual model.
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