Trajectory Planning of Redundant Robot Manipulators Using QPSO Algorithm

被引:6
|
作者
Guo, Jinchao [1 ]
Wang, Xinjin [2 ]
Zheng, Xiaowan [2 ]
机构
[1] Zhengzhou Inst Light Ind, Henan Key Lab Information Based Elect Appliance, Zhengzhou, Henan Provience, Peoples R China
[2] Zhengzhou Inst Light Ind, Elect & Informat Engn Dept, Zhengzhou, Peoples R China
关键词
Trajectory planning; QPSO algorithm; Redundant Robot Manipulators; chaotic sequences; INDUSTRIAL ROBOTS;
D O I
10.1109/WCICA.2010.5553846
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
QPSO algorithm (QPSO) is introduced to design a collision-free trajectory for planar redundant manipulators. Chaotic sequences instead of random sequences are used in QPSO to diversify the QPSO population. Kinematics redundancy is integrated into the presented method as planning variables. Quadrinomial and quintic polynomials are used to describe the segment of the trajectory. QPSO optimizes the trajectory and ensures obstacle avoidance can be achieved. Simulations are carried out for different obstacles to prove the validity of the proposed algorithm. Different test data generated by GA and QPSO are provided with a tabular comparison. Simulation studies show QPSO has potential online usage in engineering and distinct fast computation speed compared with GA.
引用
收藏
页码:403 / 407
页数:5
相关论文
共 50 条
  • [1] Trajectory planning algorithm for redundant manipulators
    Escola Superior de Tecnologia de, Viseu, Viseu, Portugal
    Proc IEEE Int Symp Assem Task Plan, (175-180):
  • [2] A FAST APPROACH FOR THE ROBUST TRAJECTORY PLANNING OF REDUNDANT ROBOT MANIPULATORS
    MAYORGA, RV
    JANABISHARIFI, F
    WONG, AKC
    JOURNAL OF ROBOTIC SYSTEMS, 1995, 12 (02): : 147 - 161
  • [3] Trajectory planning for autonomous mobile robot using a hybrid improved QPSO algorithm
    Tao Xue
    Renfu Li
    Myongchol Tokgo
    Junchol Ri
    Gyanghyok Han
    Soft Computing, 2017, 21 : 2421 - 2437
  • [4] Trajectory planning for autonomous mobile robot using a hybrid improved QPSO algorithm
    Xue, Tao
    Li, Renfu
    Tokgo, Myongchol
    Ri, Junchol
    Han, Gyanghyok
    SOFT COMPUTING, 2017, 21 (09) : 2421 - 2437
  • [5] Mobile robot trajectory planning based on QPSO algorithm and experiment
    Li, Ren-Fu
    Dokgo, Myong-Chol
    Hu, Lin
    Han, Chol-Hun
    Kongzhi yu Juece/Control and Decision, 2014, 29 (12): : 2151 - 2157
  • [6] Trajectory planning of redundant manipulators using genetic algorithms
    Marcos, Maria da Graca
    Tenreiro Machado, J. A.
    Azevedo-Perdicoulis, T. -P.
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2009, 14 (07) : 2858 - 2869
  • [7] Point-to-Point trajectory planning of flexible redundant robot manipulators using genetic algorithms
    Yue, SG
    Henrich, D
    Xu, WL
    Tso, SK
    ROBOTICA, 2002, 20 : 269 - 280
  • [8] A New Trajectory-Planning Beetle Swarm Optimization Algorithm for Trajectory Planning of Robot Manipulators
    Wang, Lei
    Wu, Qing
    Lin, Fei
    Li, Shuai
    Chen, Dechao
    IEEE ACCESS, 2019, 7 : 154331 - 154345
  • [9] Trajectory Tracking of Redundant Manipulators using an Adaptive Fuzzy algorithm
    Tehrani, Alireza K.
    Barari, Morteza
    2012 2ND AUSTRALIAN CONTROL CONFERENCE (AUCC), 2012, : 355 - 360
  • [10] An interval algorithm for minimum-jerk trajectory planning of robot manipulators
    Piazzi, A
    Visioli, A
    PROCEEDINGS OF THE 36TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 1997, : 1924 - 1927