Intelligent Position Control for Intelligent Pneumatic Actuator with Ball-Beam (IPABB) System

Mohamed Naji Muftah, Ahmad Athif Mohd Faudzi, Shafishuhaza Sahlan, Shahrol Mohamaddan

Research output: Contribution to journalArticlepeer-review

Abstract

A pneumatic actuator system is considered extremely nonlinear, making accurate position control of this actuator difficult to obtain. In this article, a novel cascade fractional-order PID (CFOPID) controller for the intelligent pneumatic actuator (IPA) positioning system utilizing particle swarm optimization (PSO) is presented. The pneumatic system was modeled using the system identification (SI) technique. To demonstrate the effectiveness of the CFOPID controller, a comparison to the FOPID controller is performed based on the rise, settling, and peak times, peak overshoot, and integral of square error (ISE). From the results obtained, the proposed CFOPID controller provides superior control over the FOPID controller. For the application of the position controller, the proposed system incorporates an intelligent pneumatic actuated ball and beam (IPABB) system. The mathematical model of the system was developed and validated through a simulation utilizing a PID (outer loop) and CFOPID controller (inner loop). The suggested controller’s accuracy and robustness have been studied by a comparative examination of the results obtained utilizing the proposed and other prior controllers on the same system. The results indicate that the intelligent pneumatic actuator, when coupled with a CFOPID controller, is capable of controlling the positioning of the ball and beam system.

Original languageEnglish
Article number11089
JournalApplied Sciences (Switzerland)
Volume12
Issue number21
DOIs
Publication statusPublished - 2022 Nov

Keywords

  • ball-beam system
  • cascade fractional-order proportional–integral–derivative
  • intelligent pneumatic actuator
  • particle swarm optimization
  • system identification technique

ASJC Scopus subject areas

  • Materials Science(all)
  • Instrumentation
  • Engineering(all)
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes

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