Fuzzy-PI Controller Tuned with HBBO for 2 DOF Robot Trajectory Control †

Simple item page
dc.contributor.author
dc.contributor.authorZennir Youcef
dc.date.accessioned2024-05-12T13:22:44Z
dc.date.available2024-05-12T13:22:44Z
dc.date.issued2022-01-29
dc.description.abstractThe main aim of our study is to control a 2 DOF robot manipulator with Fuzzy-PI and adjust its parameters with human behavior-based optimization. The fuzzy system that we have introduced is based on Takagi–Sugeno-type: it adequately handles uncertainties, ambiguities and it is able to tune the PID parameters in non-linearity situations. The HBBO was dedicated to find the best scaling factor of fuzzy logic as well as the PI’s parameter. The results of our study show the effectiveness of the proposed algorithm to optimize the controller’s parameter; therefore, the dynamics of robot follows perfectly a desired trajectories.
dc.identifier.otherDOI: 10.3390/engproc2022014010
dc.identifier.urihttp://dspace.univ-skikda.dz:4000/handle/123456789/1669
dc.language.isoen
dc.publisherJournal Engineering Proceedings.Eng. Proc. 2022, 14, 10.pp 01-08
dc.titleFuzzy-PI Controller Tuned with HBBO for 2 DOF Robot Trajectory Control †
dc.typeArticle
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
fuzzy-pi controller.pdf
Size:
2.97 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Collections
Hygiène, Sécurité et environnement(HSE)