Dynamic Locomotion Control for Wheeled⁃legged Hybrid Platform in Complex Terrain

被引:0
|
作者
Ren, Xiaolei [1 ]
Liu, Hui [1 ,2 ]
Han, Lijin [1 ,2 ]
Chen, Qian [1 ]
Nie, Shida [1 ]
Xie, Jingshuo [1 ]
Cui, Shan [2 ]
机构
[1] School of Mechanical Engineering, Beijing Institute of Technology, Beijing,100081, China
[2] Institute of Advanced Technology, Beijing Institute of Technology, Shandong, Jinan,250300, China
来源
Binggong Xuebao/Acta Armamentarii | 2024年 / 45卷 / 09期
关键词
Complex terrains - Feed forward - Hybrid locomotion - Hybrid locomotion control - Hybrid platform - Locomotion control - Pose tracking - Rigid body dynamic models - Single-rigid-body dynamic model - Wheeled-legged hybrid platform;
D O I
10.12382/bgxb.2023.0636
中图分类号
学科分类号
摘要
The dynamic and accurate tracking of the center-of-mass reference trajectory in complex terrain is crucial to ensure the stable execution of tasks for wheeled-legged hybrid platform. A dynamic locomotion control strategy is proposed to enhance the terrain adaptability and pose tracking capability of the platform. Taking into account terrain factors, a single rigid body dynamics model including wheel dynamics is established. The system dynamics model is then transformed into the standard form of state-space equations through an approximate simplification. Considering the coupled motion of the wheels and legs, a hybrid locomotion control method based on feedforward and feedback torques is introduced. The quadratic programming algorithm is used to solve the optimal ground reaction forces, and the Jacobian matrix is used to map these forces into the joints for feedforward torque generation. To address the external disturbances caused by the environment that may hinder the system's ability to perform optimization calculations in a short time frame, the joint torque feedback control is introduced to promptly correct the pose tracking errors. This enables the system to respond rapidly and accurately to the external disturbances, thus effectively improving its robustness and stability. Simulated results demonstrate that the proposed method significantly enhances the dynamic pose tracking accuracy of the platform in complex terrains, ensuring smooth platform operation. This method provides strong support for the engineering application of wheeled-legged hybrid platforms in complex terrains. © 2024 China Ordnance Industry Corporation. All rights reserved.
引用
收藏
页码:2993 / 3003
相关论文
共 50 条
  • [41] A non-periodic planning and control framework of dynamic legged locomotion
    Zhao, Ye
    Gu, Yan
    INTERNATIONAL JOURNAL OF INTELLIGENT ROBOTICS AND APPLICATIONS, 2020, 4 (01) : 95 - 108
  • [42] A Survey of Dynamic Robot Legged Locomotion
    Bhatti, J.
    Plummer, A. R.
    Iravani, P.
    Ding, B.
    PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON FLUID POWER AND MECHATRONICS - FPM 2015, 2015, : 770 - 775
  • [43] LEGGED ROBOT LOCOMOTION IN RESISTIVE TERRAIN: A COMPARISON OF TWO METHODS
    Szabari, Mikulas
    Knoflicek, Radek
    MM SCIENCE JOURNAL, 2022, 2022 : 6040 - 6048
  • [44] A non-periodic planning and control framework of dynamic legged locomotion
    Ye Zhao
    Yan Gu
    International Journal of Intelligent Robotics and Applications, 2020, 4 : 95 - 108
  • [45] Max: A Wheeled-Legged Quadruped Robot for Multimodal Agile Locomotion
    Zhou, Qinqin
    Yang, Sicheng
    Jiang, Xinyang
    Zhang, Dongsheng
    Chi, Wanchao
    Chen, Ke
    Zhang, Shenghao
    Li, Jie
    Zhang, Jingfan
    Wang, Rui
    Li, Jingchen
    Zhang, Yufeng
    Wang, Haitao
    Wang, Shuai
    Xiang, Lingzhu
    Zheng, Yu
    Zhang, Zhengyou
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 21 (04) : 7562 - 7582
  • [46] Control of Dynamic Locomotion for the Hybrid Wheel-Legged Mobile Robot by using Unstable-Zeros Cancellation
    Suzumura, Akihiro
    Fujimoto, Yasutaka
    2012 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2012, : 2337 - 2342
  • [47] Optimizing Robust Limit Cycles for Legged Locomotion on Unknown Terrain
    Dai, Hongkai
    Tedrake, Russ
    2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2012, : 1207 - 1213
  • [48] Learning robust autonomous navigation and locomotion for wheeled-legged robots
    Lee, Joonho
    Bjelonic, Marko
    Reske, Alexander
    Wellhausen, Lorenz
    Miki, Takahiro
    Hutter, Marco
    SCIENCE ROBOTICS, 2024, 9 (89)
  • [49] Pose Control of Biomimetic Wheel-legged Robots in Complex Terrain
    Zhang Q.
    Pan K.
    Wang Z.
    Huang S.
    You Y.
    Wang D.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2024, 55 (06): : 380 - 391and403
  • [50] Tactile feedback enhances multi -legged locomotion on rugose terrain
    He, Juntao
    Zhong, Baxi
    Flores, Esteban
    Xu, Zhaochen
    Soto, Daniel
    Goldman, Daniel
    INTEGRATIVE AND COMPARATIVE BIOLOGY, 2024, 64 : S220 - S221