Bi-criteria minimization with MWVN-INAM type for motion planning and control of redundant robot manipulators

被引:18
作者
Guo, Dongsheng [1 ]
Li, Kene [2 ]
Liao, Bolin [3 ]
机构
[1] Huaqiao Univ, Coll Informat Sci & Engn, Xiamen 361021, Peoples R China
[2] Guangxi Univ Sci & Technol, Sch Elect & Informat Engn, Liuzhou 545006, Peoples R China
[3] Jishou Univ, Coll Informat Sci & Engn, Jishou 416000, Peoples R China
基金
中国国家自然科学基金;
关键词
Bi-criteria minimization; Minimum weighted velocity norm; Infinity-norm acceleration minimization; Robotic redundancy resolution; Quadratic programming; DUAL NEURAL-NETWORK; LINEAR VARIATIONAL-INEQUALITIES; COMPACT QP METHOD; KINEMATIC CONTROL; ACCELERATION MINIMIZATION; TORQUE MINIMIZATION; OBSTACLE-AVOIDANCE; WORKSPACE ANALYSIS; MA EQUIVALENCE; VELOCITY;
D O I
10.1017/S0263574717000625
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This study proposes and investigates a new type of bi-criteria minimization (BCM) for the motion planning and control of redundant robot manipulators to address the discontinuity problem in the infinity-norm acceleration minimization (INAM) scheme and to guarantee the final joint velocity of motion to be approximate to zero. This new type is based on the combination of minimum weighted velocity norm (MWVN) and INAM criteria, and thus is called the MWVN-INAM-BCM scheme. In formulating such a scheme, joint-angle, joint-velocity, and joint-acceleration limits are incorporated. The proposed MWVN-INAM-BCM scheme is reformulated as a quadratic programming problem solved at the joint-acceleration level. Simulation results based on the PUMA560 robot manipulator validate the efficacy and applicability of the proposed MWVN-INAM-BCM scheme in robotic redundancy resolution. In addition, the physical realizability of the proposed scheme is verified in practical application based on a six-link planar robot manipulator.
引用
收藏
页码:655 / 675
页数:21
相关论文
共 49 条
[1]  
[Anonymous], ZHANG FUNCTIONS VARI
[2]  
[Anonymous], P 6 INT C MACH LEARN
[3]  
[Anonymous], 2008, Springer handbook of robotics, DOI DOI 10.1007/978-3-540-30301-5
[4]  
Bazarra M.S., 1993, NONLINEAR PROGRAMMIN, V2nd
[5]   Minimum jerk norm scheme applied to obstacle avoidance of redundant robot arm with jerk bounded and feedback control [J].
Chen, Dechao ;
Zhang, Yunong .
IET CONTROL THEORY AND APPLICATIONS, 2016, 10 (15) :1896-1903
[6]   THE IMPROVED COMPACT QP METHOD FOR RESOLVING MANIPULATOR REDUNDANCY [J].
CHENG, FT ;
SHEU, RJ ;
CHEN, TH .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1995, 25 (11) :1521-1530
[7]   RESOLVING MANIPULATOR REDUNDANCY UNDER INEQUALITY CONSTRAINTS [J].
CHENG, FT ;
CHEN, TH ;
SUN, YY .
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 1994, 10 (01) :65-71
[8]   Minimum effort inverse kinematics for redundant manipulators [J].
Deo, AS ;
Walker, ID .
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 1997, 13 (05) :767-775
[9]   An online active set strategy to overcome the limitations of explicit MPC [J].
Ferreau, H. J. ;
Bock, H. G. ;
Diehl, M. .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2008, 18 (08) :816-830
[10]   qpOASES: a parametric active-set algorithm for quadratic programming [J].
Ferreau, Hans Joachim ;
Kirches, Christian ;
Potschka, Andreas ;
Bock, Hans Georg ;
Diehl, Moritz .
MATHEMATICAL PROGRAMMING COMPUTATION, 2014, 6 (04) :327-363