Analysis of Robust Control Method for Single Link Flexible Manipulator

Abdulbasit Hassan, Abdullah A. Al-Ahdal, Abdul Wahid A. Saif*, Jamilu U. Yahaya

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Robot operation in recent years has revolutionized the world, especially industries, due to its numerous applications. Therefore, designing system elements like controllers, observers, and simulators requires a robust model. A robot whose link flexibility significantly influences the joint parameters or tip position is known as a flexible-link manipulator (FLM). This led to an error in the manipulator's operation. In this paper, a Robust Control Technique using a Model Predictive Controller was developed to simulate a Single-Link Flexible Manipulator (SLFM) to attenuate the effect of oscillation (vibration) on the FLM as it rotates, also based on the literature results using PID, FSFB, and LQR control techniques, all results were fine-tuned to investigate their robustness. The result described how a multi-variable robust controller (MPC) handled the SLFM constraints and achieved a quick response in less than a second as compared to the three other control techniques applied.

Original languageEnglish
Title of host publication2024 21st International Multi-Conference on Systems, Signals and Devices, SSD 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages465-473
Number of pages9
ISBN (Electronic)9798350374131
DOIs
StatePublished - 2024
Event21st International Multi-Conference on Systems, Signals and Devices, SSD 2024 - Erbil, Iraq
Duration: 22 Apr 202425 Apr 2024

Publication series

Name2024 21st International Multi-Conference on Systems, Signals and Devices, SSD 2024

Conference

Conference21st International Multi-Conference on Systems, Signals and Devices, SSD 2024
Country/TerritoryIraq
CityErbil
Period22/04/2425/04/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Flexible manipulator
  • LQR
  • MPC
  • PID
  • Robust control

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Signal Processing
  • Safety, Risk, Reliability and Quality
  • Control and Optimization
  • Instrumentation

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