An improved meta-heuristic algorithm to optimize the fractional-order controller for an industrial manipulator with a parallelogram structure
Purpose: Nowadays, robotic systems are widely used in advanced industrial operations. Therefore, making appropriate control decisions to ensure the efficiency of these systems is critical. Criteria such as operation time and response speed, control cost, and system error need to be controlled by pro...
Saved in:
| Main Author: | Nazila Nikdel |
|---|---|
| Format: | Article |
| Language: | fas |
| Published: |
Ayandegan Institute of Higher Education, Tonekabon,
2023-09-01
|
| Series: | تصمیم گیری و تحقیق در عملیات |
| Subjects: | |
| Online Access: | https://www.journal-dmor.ir/article_142518_5e7cefa7c6cb852585f59cf45f030fa9.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Novel Hybrid Method Using Grey Wolf Algorithm and Genetic Algorithm for IoT Botnet DDoS Attacks Detection
by: Mahdieh Maazalahi, et al.
Published: (2025-03-01) -
A new index‐based hyper‐heuristic algorithm for global optimisation problems
by: Mohammad Reza Hasanzadeh, et al.
Published: (2022-10-01) -
Design of Fractional–PID Controller Based on Grey Wolf Optimization for Robotic Manipulator
by: Ahmed A. Oglah, et al.
Published: (2025-08-01) -
Research on the motion trajectory control of industrial manipulators by the incremental PID control optimization algorithm
by: Wang Jicai, et al.
Published: (2025-01-01) -
Autonomous Path Planning and Obstacle Avoidance of a Wheeled Mobile Robot via Grey Wolf Optimisation
by: Zahraa Abdulla, et al.
Published: (2025-06-01)