Research on adaptive impedance control strategy for humanoid walking in unstructured dynamic environment

IF 2.1 Q3 ROBOTICS
Helin Wang, Qijun Chen
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Abstract

Adaptability and robustness are the important expressions of intelligent walking ability of humanoid robots. However, they may be in an unstable state due to the huge impact contact forces produced by foot instant landing. This paper is concerned with the problem of dynamical biped walking and robust control of humanoid robots under ground reaction forces (GRF). In order to imitate human’s muscles to absorb the landing force, the robotic system is modeled as a mass–damp–spring model. The novelty of the article lies in the use of impedance control based on ground reaction forces, which deals with the complicated optimization problem subjected to both equality and inequality constraints. A feedback controller is designed to utilize inertial damping to generate the desired motion trajectory of the robot. The constructing autonomous evolution mechanism is mentioned to realize adaptive optimization of walking model. It ensures that the impact of GRF and reinforce stability during transition from single support phase to double support phase. Finally, the effectiveness of the proposed method is verified by simulations.

Abstract Image

非结构化动态环境中仿人行走的自适应阻抗控制策略研究
适应性和鲁棒性是仿人机器人智能行走能力的重要体现。然而,由于脚掌着地瞬间产生的巨大冲击接触力,仿人机器人可能会处于不稳定状态。本文关注地面反作用力(GRF)下仿人机器人的动态双足行走和鲁棒控制问题。为了模仿人的肌肉吸收着地力,机器人系统被建模为质量-阻尼-弹簧模型。文章的新颖之处在于使用了基于地面反作用力的阻抗控制,处理了同时受到相等和不等式约束的复杂优化问题。文章设计了一个反馈控制器,利用惯性阻尼生成机器人所需的运动轨迹。其中提到了构建自主进化机制,以实现行走模型的自适应优化。在单支撑阶段向双支撑阶段过渡时,它确保了 GRF 的影响并增强了稳定性。最后,通过仿真验证了所提方法的有效性。
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来源期刊
CiteScore
3.80
自引率
5.90%
发文量
50
期刊介绍: The International Journal of Intelligent Robotics and Applications (IJIRA) fosters the dissemination of new discoveries and novel technologies that advance developments in robotics and their broad applications. This journal provides a publication and communication platform for all robotics topics, from the theoretical fundamentals and technological advances to various applications including manufacturing, space vehicles, biomedical systems and automobiles, data-storage devices, healthcare systems, home appliances, and intelligent highways. IJIRA welcomes contributions from researchers, professionals and industrial practitioners. It publishes original, high-quality and previously unpublished research papers, brief reports, and critical reviews. Specific areas of interest include, but are not limited to:Advanced actuators and sensorsCollective and social robots Computing, communication and controlDesign, modeling and prototypingHuman and robot interactionMachine learning and intelligenceMobile robots and intelligent autonomous systemsMulti-sensor fusion and perceptionPlanning, navigation and localizationRobot intelligence, learning and linguisticsRobotic vision, recognition and reconstructionBio-mechatronics and roboticsCloud and Swarm roboticsCognitive and neuro roboticsExploration and security roboticsHealthcare, medical and assistive roboticsRobotics for intelligent manufacturingService, social and entertainment roboticsSpace and underwater robotsNovel and emerging applications
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