Finite Control Set Model Predictive Control for a Wheatstone Bridge Active Magnetic Bearing

Luca Tarisciotti, Constanza Ahumada, Luca Papini, Catalina Gonzalez, Paolo Bolognesi

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Active Magnetic Bearing technology is becoming attractive for several reasons such as friction-free suspension and high-speed operation, high reliability, and vibration reduction. These desirable features come at the cost of the system's increased complexity, including position sensors, a power electronic converter, and a control system dedicated to the AMBs. This paper focuses on the control system design of an AMB featuring a Wheatstone bridge winding configuration and shaft position control. To achieve a high-bandwidth current control able to generate the desired forces, a Finite Control Set Model Predictive Control has been proposed in this paper. The AMB is modeled considering finite element simulation results to evaluate the relationship between inductance and rotor position and obtain the mechanical model parameters. A standard PI position control is also included in the system and tested under different scenarios. Finally, the control system is validated through simulation and Hardware-In-the-Loop experimental testing.

Original languageEnglish
Pages (from-to)1-13
Number of pages13
JournalIEEE Transactions on Industry Applications
DOIs
Publication statusAccepted/In press - 2023

Keywords

  • Active Magnetic Bearing
  • Analytical models
  • Coils
  • DC/AC power conversion
  • Force
  • Inductance
  • Magnetic levitation
  • Power Conversion
  • Predictive Control
  • Rotors
  • Shafts
  • Vibration control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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