Design and Performance Enhancement of a Single Axis Magnetic Levitation System Using Fuzzy Supervised PID

This paper presents an effective method to deal with the uncertainty problems of the magnetic levitation systems using the Fuzzy Supervised Proportional-Integral-Derivative (FSPID) controller. A magnetic levitation system is matured using a conventional PID controller and FS-PID controller. The magn...

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Published in:IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference pp. 2340 - 2345
Main Authors: Ahmad, Zeeshan, Umar, Muhammad, Shaukat, Shahtaj, Hassan, Sohaib, Lupin, Sergey
Format: Conference Proceeding
Language:English
Published: IEEE 01.01.2020
Subjects:
Air gaps
electromagnet
fuzzy supervised PID
magnetic levitation control system
Mathematical models
PD control
PID
Raw materials
Sustainable development
Uncertainty
Waste management
ISSN:2376-6565
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Abstract This paper presents an effective method to deal with the uncertainty problems of the magnetic levitation systems using the Fuzzy Supervised Proportional-Integral-Derivative (FSPID) controller. A magnetic levitation system is matured using a conventional PID controller and FS-PID controller. The magnetic performance of the levitation control system significantly relies on the PID controller being adopted. Owing to the fact that conventional PID controllers have constant gains, they hold some limitations as they offer uncertainty in case of an air gap and load changes. To overcome these limitations, a Fuzzy supervisory PID controller has been designed by making use of the Fuzzy inference engine. The designed FS-PID controller has the ability to intelligently tune the gains of a conventional PID controller, obtaining the desired response under various conditions. The results validate that the problem of uncertainty due to the air gap and load changes have been resolved convincingly.
AbstractList This paper presents an effective method to deal with the uncertainty problems of the magnetic levitation systems using the Fuzzy Supervised Proportional-Integral-Derivative (FSPID) controller. A magnetic levitation system is matured using a conventional PID controller and FS-PID controller. The magnetic performance of the levitation control system significantly relies on the PID controller being adopted. Owing to the fact that conventional PID controllers have constant gains, they hold some limitations as they offer uncertainty in case of an air gap and load changes. To overcome these limitations, a Fuzzy supervisory PID controller has been designed by making use of the Fuzzy inference engine. The designed FS-PID controller has the ability to intelligently tune the gains of a conventional PID controller, obtaining the desired response under various conditions. The results validate that the problem of uncertainty due to the air gap and load changes have been resolved convincingly.
Author Ahmad, Zeeshan
Hassan, Sohaib
Umar, Muhammad
Lupin, Sergey
Shaukat, Shahtaj
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  surname: Ahmad
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  organization: HITEC University,Taxila,Pakistan
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  givenname: Muhammad
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  fullname: Umar, Muhammad
  organization: HITEC University,Taxila,Pakistan
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  givenname: Shahtaj
  surname: Shaukat
  fullname: Shaukat, Shahtaj
  organization: HITEC University,Taxila,Pakistan
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  givenname: Sohaib
  surname: Hassan
  fullname: Hassan, Sohaib
  organization: HITEC University,Taxila,Pakistan
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  givenname: Sergey
  surname: Lupin
  fullname: Lupin, Sergey
  organization: Moscow Institute of Electronic Technology,Moscow,Russia
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Snippet This paper presents an effective method to deal with the uncertainty problems of the magnetic levitation systems using the Fuzzy Supervised...
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StartPage 2340
SubjectTerms Air gaps
electromagnet
fuzzy supervised PID
magnetic levitation control system
Mathematical models
PD control
PID
Raw materials
Sustainable development
Uncertainty
Waste management
Title Design and Performance Enhancement of a Single Axis Magnetic Levitation System Using Fuzzy Supervised PID
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