Trajectory planning of parallel kinematic manipulators for the maximum dynamic load-carrying capacity

Chun-Ta Chen, Te Tan Liao

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The objective of this paper is to identify the trajectory that accomplishes the assigned motion with the maximum dynamic load-carrying capacity (DLCC) which is subject to constraints imposed by the kinematics and dynamics of a manipulator structure. In this study, the possible trajectories of the manipulator are modeled using a parametric path representation, the optimal trajectory is then obtained using a two-loop of optimization process, in which the inner-loop optimization process based on the Simplex-type linear programming method is used to determine the dynamic loading at each discrete point along the presumed trajectory and then to formulate the DLCC; the outer-loop optimization process based on the particle swarm optimization algorithm is to solve the controlled points by maximizing the formulated DLCC. The numerical results confirm the feasibility of the optimized trajectories and demonstrate the effectiveness of the proposed algorithm for the maximum dynamic load-carrying trajectory planning of a parallel kinematic manipulator.

Original languageEnglish
Pages (from-to)1653-1674
Number of pages22
JournalMeccanica
Volume51
Issue number8
DOIs
Publication statusPublished - 2016 Aug 1

Fingerprint

load carrying capacity
trajectory planning
dynamic loads
Load limits
Dynamic loads
Manipulators
manipulators
Kinematics
kinematics
Trajectories
trajectories
Planning
optimization
linear programming
Linear programming
Particle swarm optimization (PSO)

Keywords

  • Dynamic load-carrying capacity
  • Parallel kinematic manipulator
  • Trajectory planning
  • Two-loop of optimization

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering

Cite this

Trajectory planning of parallel kinematic manipulators for the maximum dynamic load-carrying capacity. / Chen, Chun-Ta; Liao, Te Tan.

In: Meccanica, Vol. 51, No. 8, 01.08.2016, p. 1653-1674.

Research output: Contribution to journalArticle

@article{1e82f3753f6c420db5b6aea6f5fe0450,
title = "Trajectory planning of parallel kinematic manipulators for the maximum dynamic load-carrying capacity",
abstract = "The objective of this paper is to identify the trajectory that accomplishes the assigned motion with the maximum dynamic load-carrying capacity (DLCC) which is subject to constraints imposed by the kinematics and dynamics of a manipulator structure. In this study, the possible trajectories of the manipulator are modeled using a parametric path representation, the optimal trajectory is then obtained using a two-loop of optimization process, in which the inner-loop optimization process based on the Simplex-type linear programming method is used to determine the dynamic loading at each discrete point along the presumed trajectory and then to formulate the DLCC; the outer-loop optimization process based on the particle swarm optimization algorithm is to solve the controlled points by maximizing the formulated DLCC. The numerical results confirm the feasibility of the optimized trajectories and demonstrate the effectiveness of the proposed algorithm for the maximum dynamic load-carrying trajectory planning of a parallel kinematic manipulator.",
keywords = "Dynamic load-carrying capacity, Parallel kinematic manipulator, Trajectory planning, Two-loop of optimization",
author = "Chun-Ta Chen and Liao, {Te Tan}",
year = "2016",
month = "8",
day = "1",
doi = "10.1007/s11012-015-0308-8",
language = "English",
volume = "51",
pages = "1653--1674",
journal = "Meccanica",
issn = "0025-6455",
publisher = "Springer Netherlands",
number = "8",

}

TY - JOUR

T1 - Trajectory planning of parallel kinematic manipulators for the maximum dynamic load-carrying capacity

AU - Chen, Chun-Ta

AU - Liao, Te Tan

PY - 2016/8/1

Y1 - 2016/8/1

N2 - The objective of this paper is to identify the trajectory that accomplishes the assigned motion with the maximum dynamic load-carrying capacity (DLCC) which is subject to constraints imposed by the kinematics and dynamics of a manipulator structure. In this study, the possible trajectories of the manipulator are modeled using a parametric path representation, the optimal trajectory is then obtained using a two-loop of optimization process, in which the inner-loop optimization process based on the Simplex-type linear programming method is used to determine the dynamic loading at each discrete point along the presumed trajectory and then to formulate the DLCC; the outer-loop optimization process based on the particle swarm optimization algorithm is to solve the controlled points by maximizing the formulated DLCC. The numerical results confirm the feasibility of the optimized trajectories and demonstrate the effectiveness of the proposed algorithm for the maximum dynamic load-carrying trajectory planning of a parallel kinematic manipulator.

AB - The objective of this paper is to identify the trajectory that accomplishes the assigned motion with the maximum dynamic load-carrying capacity (DLCC) which is subject to constraints imposed by the kinematics and dynamics of a manipulator structure. In this study, the possible trajectories of the manipulator are modeled using a parametric path representation, the optimal trajectory is then obtained using a two-loop of optimization process, in which the inner-loop optimization process based on the Simplex-type linear programming method is used to determine the dynamic loading at each discrete point along the presumed trajectory and then to formulate the DLCC; the outer-loop optimization process based on the particle swarm optimization algorithm is to solve the controlled points by maximizing the formulated DLCC. The numerical results confirm the feasibility of the optimized trajectories and demonstrate the effectiveness of the proposed algorithm for the maximum dynamic load-carrying trajectory planning of a parallel kinematic manipulator.

KW - Dynamic load-carrying capacity

KW - Parallel kinematic manipulator

KW - Trajectory planning

KW - Two-loop of optimization

UR - http://www.scopus.com/inward/record.url?scp=84946145575&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84946145575&partnerID=8YFLogxK

U2 - 10.1007/s11012-015-0308-8

DO - 10.1007/s11012-015-0308-8

M3 - Article

VL - 51

SP - 1653

EP - 1674

JO - Meccanica

JF - Meccanica

SN - 0025-6455

IS - 8

ER -