Optimal trajectory planning for industrial robots using harmony search algorithm

Purpose - This paper aims to present a technique for optimal trajectory planning of industrial robots that applies a new harmony search (HS) algorithm.Design methodology approach - The new HS optimization algorithm adds one more operation to the original HS algorithm. The objective function to be mi...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Industrial robot Jg. 40; H. 5; S. 502 - 512
Hauptverfasser: Chen, Youdong, Yan, Liang, Wei, Hongxing, Wang, Tianmiao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bedford Emerald Group Publishing Limited 16.08.2013
Schlagworte:
Algorithms
Boundary conditions
Comparative analysis
Harmony (Music)
Heuristic
Mathematical problems
Optimization
Planning
Robots
Studies
Velocity
Industrial robot
Trajectory planning
Harmony search
Optimization techniques
B-spline
Optimization
Robots
ISSN:0143-991X, 1758-5791
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Purpose - This paper aims to present a technique for optimal trajectory planning of industrial robots that applies a new harmony search (HS) algorithm.Design methodology approach - The new HS optimization algorithm adds one more operation to the original HS algorithm. The objective function to be minimized is the trajectory execution time subject to kinematical and mechanical constraints. The trajectory is built by quintic B-spline curves and cubic B-spline curves.Findings - Simulation experiments have been undertaken using a 6-DOF robot QH165. The results show that the proposed technique is valid and that the trajectory obtained using quintic B-spline curves is smoother than the trajectory using cubic B-spline curves.Originality value - The proposed new HS algorithm is more efficient than the sequential quadratic programming method (SQP) and the original HS method. The proposed technique is applicable to any industrial robot and yields smooth and time-optimal trajectories.
Bibliographie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0143-991X
1758-5791
DOI:10.1108/IR-12-2012-444