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基于RISE反馈的串联弹性驱动器最优控制方法

孙雷 孙伟超 王萌 刘景泰

李娟, 王宇平. 基于样本密度和分类误差率的增量学习矢量量化算法研究. 自动化学报, 2015, 41(6): 1187-1200. doi: 10.16383/j.aas.2015.c140311
引用本文: 孙雷, 孙伟超, 王萌, 刘景泰. 基于RISE反馈的串联弹性驱动器最优控制方法. 自动化学报, 2018, 44(12): 2170-2178. doi: 10.16383/j.aas.2018.c170146
LI Juan, WANG Yu-Ping. An Incremental Learning Vector Quantization Algorithm Based on Pattern Density and Classification Error Ratio. ACTA AUTOMATICA SINICA, 2015, 41(6): 1187-1200. doi: 10.16383/j.aas.2015.c140311
Citation: SUN Lei, SUN Wei-Chao, WANG Meng, LIU Jing-Tai. Optimal Control for Series Elastic Actuator Using RISE Feedback. ACTA AUTOMATICA SINICA, 2018, 44(12): 2170-2178. doi: 10.16383/j.aas.2018.c170146

基于RISE反馈的串联弹性驱动器最优控制方法

doi: 10.16383/j.aas.2018.c170146
基金项目: 

国家自然科学基金 61573198

详细信息
    作者简介:

    孙伟超  南开大学机器人与信息自动化研究所硕士生.主要研究方向为机器人控制系统.E-mail:sun@mail.nankai.edu.cn

    王萌  南开大学机器人与信息自动化研究所博士研究生.主要研究方向为SEA力矩控制, 人机交互, 单足跳跃机器人.E-mail:wmkevin@mail.nankai.edu.cn

    刘景泰  博士, 南开大学机器人与信息自动化研究所教授.主要研究方向为机器人学, 机器人控制.E-mail:liujt@nankai.edu.cn

    通讯作者:

    孙雷  博士, 南开大学机器人与信息自动化研究所副教授.主要研究方向为机器人控制系统.本文通信作者.E-mail:sunl@nankai.edu.cn

Optimal Control for Series Elastic Actuator Using RISE Feedback

Funds: 

National Natural Science Foundation of China 61573198

More Information
    Author Bio:

     Master student at the Institute of Robotics and Automatic Systems, Nankai University. His research interest covers robot control systems

     Ph. D. candidate at the Institute of Robotics and Automatic systems, Nankai University. His research interest covers SEA torque control, human-robot interaction, and monopod hopping robot

     Ph. D., professor at the Institute of Robotics and Automatic Systems, Nankai University. His research interest covers robotics and robot control

    Corresponding author: SUN Lei  Ph. D., associate professor at the Institute of Robotics and Automatic Systems, Nankai University. His research interest covers robot control systems. Corresponding author of this paper
  • 摘要: 串联弹性驱动器(Series elastic actuator,SEA)是机器人交互系统中的一种理想力源.本文针对非线性SEA的力矩控制问题提出一种基于RISE(Robust integral of the sign of the error)反馈的最优控制方法,能够克服模型参数不确定和有界扰动,实现SEA输出力矩在交互过程中快速平稳地收敛到期望值.具体来说,首先对SEA的模型进行分析和变换;然后假设模型参数和扰动均已知,并在此基础上基于二次型指标设计最优控制律;之后基于RISE反馈重新设计控制律抵消模型参数不确定性和有界扰动,基于Lyapunov理论分析控制器的收敛性和信号的有界性,实验结果表明这种基于RISE反馈的最优控制方法具有良好的控制性能和对有界扰动的鲁棒性.

  • 本文责任编委 郭戈
  • 图  1  SEA示意图

    Fig.  1  Structure of SEA

    图  2  阶跃信号仿真结果

    Fig.  2  Simulink result of step signal

    图  3  RISE反馈项与实际未知项对比结果

    Fig.  3  Comparison result of RISE feedback term with disturbance term

    图  4  SEA实验平台

    Fig.  4  SEA testbed

    图  5  SEA弹性结构

    Fig.  5  Elastic structure of SEA

    图  6  环境交互实验结果

    Fig.  6  Experiment result of robot-environment-interaction

    图  7  电机与负载运动情况

    Fig.  7  Motion result of motor and load

    图  8  人机交互实验结果

    Fig.  8  Experiment result of human-robot-interaction

    表  1  SEA机械参数

    Table  1  Mechanical parameter of SEA

    Parameter Value Uanit
    $J_M$ $0.082$ kgm$^2$
    $c_M$ $0.75$ kgm$^2$/s
    $Ks$ $13\, 600$ N/m
    $c$ $0.018$ m
    $R$ $0.020$ m
    $r$ $0.005$ m
    下载: 导出CSV
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