Systematic Control of Electro-hydraulic Velocity Servomechanism using Fractional Order Technique

Muhammad Majid Gulzar*, Fahad Usman Khan, Daud Sibtain, Adnan Shakoor, Muhammad Khalid

*Corresponding author for this work

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

Abstract

Electro-Hydraulic ServoMechanism (EHSM) is a nonlinear system with tentative dynamics, whose control is a difficult task. In this research, an alternative to the existing technique, a fractional order PID control-based approach, is presented. Initially, a SIMULINK based nonlinear model is constructed. The linear model is obtained by approximating the non-linearity using the bilinear transformation. Pole placement is blended with the Ziegler-Nichols tuning method to carry out the controller design and controller parameter tuning. The results are compared with conventional PID, and stability analysis is also analyzed. The results of the fractional order controller show satisfactory improvement than the results of conventional PID.

Original languageEnglish
Title of host publication2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350347074
DOIs
StatePublished - 2023
Event2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023 - Rome, Italy
Duration: 10 May 202312 May 2023

Publication series

Name2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023

Conference

Conference2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023
Country/TerritoryItaly
CityRome
Period10/05/2312/05/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Bilinear Transformation
  • Electro-hydraulic Servomechanism
  • Fractional Order PID
  • Pole Placement
  • Z-N Tuning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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