Review of the performance optimization of parallel manipulators

C Yang, W Ye, Q Li - Mechanism and Machine Theory, 2022 - Elsevier
Performance optimization of parallel manipulators (PMs) have attracted adequate attention
in recent years. It mainly concerns performance indices, optimization algorithms and …

Multi-objective optimal design of a cable-driven parallel robot based on an adaptive adjustment inertia weight particle swarm optimization algorithm

B Zhou, S Li, B Zi, B Chen… - Journal of …, 2023 - asmedigitalcollection.asme.org
Cable-driven parallel robots (CDPRs) have been widely used in engineering fields because
of their significant advantages including high load-bearing capacity, large workspace, and …

A novel acceleration capacity index based on motion/force transmissibility for high-speed parallel robots

XJ Liu, G Han, F **e, Q Meng - Mechanism and Machine Theory, 2018 - Elsevier
Dynamic performance evaluation is an open question considering three main challenging
issues:(a) how to avoid performance indices physically inconsistent considering different …

Chebyshev inclusion function based interval kinetostatic modeling and parameter sensitivity analysis for Exechon-like parallel kinematic machines with parameter …

T Tang, H Luo, Y Song, H Fang, J Zhang - Mechanism and Machine Theory, 2021 - Elsevier
This paper aims to investigate the effects of parameter uncertainties on kinetostatic
behaviors of Exechon-like parallel kinematic machines (PKMs). A general interval …

Error space estimation of three degrees of freedom planar parallel mechanisms

J Ding, S Lyu, T Da, C Wang… - Journal of …, 2019 - asmedigitalcollection.asme.org
This paper develops a geometric method to estimate the error space of 3-DOF planar
mechanisms with the Minimum Volume Ellipsoid Enclosing (MVEE) approach. Both the joint …

Dynamics of flexible multibody systems with hybrid uncertain parameters

Z Wang, Q Tian, H Hu - Mechanism and Machine Theory, 2018 - Elsevier
The most popular way to study the dynamics of a multibody system with random parameters
is the probabilistic method under the assumption that the mean values and variances of the …

SCALA—A scalable rail-based multirobot system for large space automation: Design and development

C Viegas, M Tavakoli, P Lopes, R Dessi… - IEEE/ASME …, 2017 - ieeexplore.ieee.org
In this paper, a prototype of the SCAlable ModuLar (SCALA) multiagent robotic system is
developed and implemented. This system for automation in large spaces relies on mobile …

Optimal design of SINS's Stewart platform bumper for restoration accuracy based on genetic algorithm

Y Tu, G Yang, Q Cai, L Wang, X Zhou - Mechanism and Machine Theory, 2018 - Elsevier
The strap-down inertial navigation system (SINS) is a standard and crucial approach for
attitude determination of a ship. To protect the SINS from vibration and shock, we design a …

A feasible identification method of uncertainty responses for vehicle structures

X Xu, X Chen, Z Liu, Y Zhang, Y Xu, J Fang… - Structural and …, 2021 - Springer
Many unavoidable uncertainties in the engineering structure will affect its performance
response. It is necessary to analyze the uncertain responses generated by uncertain factors …

Combined interval analysis-Monte Carlo simulation approach for the analysis of uncertainties in parallel manipulators

HL Vieira, AT Beck, MM da Silva - Meccanica, 2021 - Springer
The quantification of the impact of uncertainties may increase the reliability and robustness
of parallel manipulators. Monte Carlo simulation (MCS) and interval analysis are among the …