Optimal Time-Jerk Trajectory Planning for Buffering/Walking Integrated Lander

被引:0
|
作者
Jia, Shan [1 ,2 ,3 ]
Zhou, Xianghua [1 ]
Zhang, Sheng [1 ]
Zhao, Jianhua [1 ]
Chen, Jinbao [1 ,2 ,3 ]
机构
[1] Academy of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing,211106, China
[2] Key Laboratory of Deep Space Star Catalog Detection Mechanism Technology, Ministry of Industry and Information Technology, Nanjing,211106, China
[3] Laboratory of Aerospace Entry, Descent and Landing Technology, Nanjing,211106, China
关键词
Genetic algorithms - Inverse kinematics;
D O I
10.16450/j.cnki.issn.1004-6801.2021.03.002
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
In order to ensure that the leg-foot mechanism of the buffering/walking lander does not produce larger impact and vibration in the process of movement, a trajectory planning in joint space of the leg-foot mechanism is carried out. The optimal trajectory is obtained by taking time-jerk as the optimization objective. Firstly, the leg-foot mechanism of hexapod lander with the buffering and driving functions is introduced. Its kinematics is deduced and its buffering performance is analyzed. Secondly, the mapping nodes of the key points of the foot-end trajectory in the joint space are obtained with inverse kinematics, and the nodes are fitted with cubic splines. Thirdly, the optimal time-jerk trajectory planning model is established with the node time interval as a variable. Finally, the model is solved by using multi-population genetic algorithms. The results show that the leg-foot mechanism has stable and continuous movement performance, and the planned optimal time-jerk trajectory is reasonable and effective, and there is no larger impact and vibration during the movement of leg-foot mechanism. © 2021, Editorial Department of JVMD. All right reserved.
引用
收藏
页码:429 / 438
相关论文
共 50 条
  • [1] Time-jerk optimal trajectory planning of shotcrete manipulators
    [J]. Cao, Z. (zhongyi@csu.edu.cn), 1600, Central South University of Technology (44):
  • [2] Time-jerk Optimal Trajectory Planning for Robotic Manipulators
    Yang, Jian
    Wang, Hesheng
    Chen, Weidong
    Li, Kong
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 2013, : 2257 - 2262
  • [3] Optimal time-jerk trajectory planning for industrial robots
    Huang, Junsen
    Hu, Pengfei
    Wu, Kaiyuan
    Zeng, Min
    [J]. MECHANISM AND MACHINE THEORY, 2018, 121 : 530 - 544
  • [4] Time-jerk optimal trajectory planning of hydraulic robotic excavator
    Zhang, Yunyue
    Sun, Zhiyi
    Sun, Qianlai
    Wang, Yin
    Li, Xiaosong
    Yang, Jiangtao
    [J]. ADVANCES IN MECHANICAL ENGINEERING, 2021, 13 (07)
  • [5] Experimental validation and comparative analysis of optimal time-jerk algorithms for trajectory planning
    Gasparetto, A.
    Lanzutti, A.
    Vidoni, R.
    Zanotto, V.
    [J]. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2012, 28 (02) : 164 - 181
  • [6] Optimal time-jerk trajectory planning for the landing and walking integration mechanism using adaptive genetic algorithm method
    Zhou, Jinhua
    Chen, Meng
    Chen, Jinbao
    Jia, Shan
    [J]. REVIEW OF SCIENTIFIC INSTRUMENTS, 2020, 91 (04):
  • [7] Time-jerk optimal deployment trajectory planning of deployable parabolic cylindrical antenna
    Zhou, Jinhua
    Lin, Fei
    Guo, Yunyun
    Chen, Meng
    [J]. AIP ADVANCES, 2020, 10 (09)
  • [8] Time-jerk optimal trajectory planning of a 7-DOF redundant robot
    Lu, Shaotian
    Zhao, Jingdong
    Jiang, Li
    Liu, Hong
    [J]. TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2017, 25 (05) : 4211 - 4222
  • [9] Optimal Time-Jerk Trajectory Generation for Robot Manipulators
    Avalos, Jose
    Ramos, Oscar E.
    [J]. 2018 IEEE 2ND COLOMBIAN CONFERENCE ON ROBOTICS AND AUTOMATION (CCRA), 2018,
  • [10] A technique for time-jerk optimal planning of robot trajectories
    Gasparetto, Alessandro
    Zanotto, Vanni
    [J]. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2008, 24 (03) : 415 - 426