An Experimental Comparison for the Accuracy Improvement of a 6-PSS Parallel Manipulator by Choosing Different Sets of Measurement Data

2015 ◽  
pp. 173-184 ◽  
Author(s):  
Lingyu Kong ◽  
Genliang Chen ◽  
Hao Wang ◽  
Yong Zhao
Keyword(s):  
Parallel Manipulator ◽  
Measurement Data ◽  
Experimental Comparison ◽  
Accuracy Improvement

Dexterity and Adaptive Control of Planar Parallel Manipulators With and Without Redundant Actuation

2014 ◽  
Vol 10 (1) ◽  
Author(s):  
Weiwei Shang ◽  
Shuang Cong
Keyword(s):  
Adaptive Control ◽  
Parallel Manipulator ◽  
Adaptive Controller ◽  
Parallel Manipulators ◽  
The Other ◽  
Experimental Comparison ◽  
Redundant Actuation ◽  
Tracking Accuracy ◽  
Planar Parallel Manipulator ◽  
Planar Parallel Manipulators

The objective of this paper is to determine whether a planar parallel manipulator with redundant actuation has better tracking accuracy than a planar parallel manipulator without redundant actuation. The effects of the redundant actuation on tracking accuracy of parallel manipulators are studied by using two different experimental platforms. The first platform is the planar five-bar parallel manipulator with normal actuation, and the other one is the planar parallel manipulator with redundant actuation. The dexterity pictures and the kinematic configurations of the two platforms validate the kinematic advantages from the redundant actuation. In order to study the dynamic advantages of the redundant actuation further, a nonlinear adaptive controller is presented for the two platforms. The experimental comparison is implemented on two actual parallel manipulator platforms, and from the experimental results, one can find the tracking accuracy of the parallel manipulator with redundant actuation can be improved above 38% than that of the five-bar parallel manipulator without redundant actuation.

How to Measure Discount Rates? An experimental comparison of three methods

2010 ◽  
Author(s):  
David J. Hardisty ◽  
Katherine J. Thompson ◽  
David H. Krantz ◽  
Elke U. Weber
Keyword(s):  
Experimental Comparison ◽  
Discount Rates

Analysis of athletes’ stadium stress source based on improved layered K-means algorithm

2020 ◽  
Vol 39 (4) ◽  
pp. 5905-5914
Author(s):  
Chen Gong
Keyword(s):  
Experimental Data ◽  
Machine Learning Algorithms ◽  
User Preference ◽  
Experimental Comparison ◽  
Actual Situation ◽  
Medical Field ◽  
Pressure Source ◽  
Preference Model ◽  
Related Research ◽  
Analysis System

Most of the research on stressors is in the medical field, and there are few analysis of athletes’ stressors, so it can not provide reference for the analysis of athletes’ stressors. Based on this, this study combines machine learning algorithms to analyze the pressure source of athletes’ stadium. In terms of data collection, it is mainly obtained through questionnaire survey and interview form, and it is used as experimental data after passing the test. In order to improve the performance of the algorithm, this paper combines the known K-Means algorithm with the layering algorithm to form a new improved layered K-Means algorithm. At the same time, this paper analyzes the performance of the improved hierarchical K-Means algorithm through experimental comparison and compares the clustering results. In addition, the analysis system corresponding to the algorithm is constructed based on the actual situation, the algorithm is applied to practice, and the user preference model is constructed. Finally, this article helps athletes find stressors and find ways to reduce stressors through personalized recommendations. The research shows that the algorithm of this study is reliable and has certain practical effects and can provide theoretical reference for subsequent related research.

Sign in / Sign up

Export Citation Format

Share Document