Abstract

Paper presents a mathematical model of the radial active magnetic bearing, which is indented for the simulation of the magnetic bearing dynamic response. The circuit model of the bearing is based on differential equations. The circuit model has incorporated results of magnetic field analysis, which led to the creation of the field–circuit model. Presented model of the magnetic bearing takes into account the necessary control system. The experimental results are presented to validate the proposed model.

Highlights

  • Magnetic bearings (MBs) represent an alternative support of the rotor in comparison with traditional bearings, i.e., ball or journal ones

  • The stable levitation of the radial active magnetic bearing (RAMB) rotor is only achievable by using position controllers

  • A field–circuit model of the RAMB system dedicated to the simulation of the transient states is described

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Summary

Introduction

Magnetic bearings (MBs) represent an alternative support of the rotor in comparison with traditional bearings, i.e., ball or journal ones. Magnetic suspension dedicated to electric machine usually consists of two radial and one axial electromagnetic actuators and a control system. The actuator of the radial active magnetic bearing (RAMB) comprises two elements—a stator and rotor. The interaction between the stator and rotor is based on the principle of the electromagnetic interaction. The stable levitation of the RAMB rotor is only achievable by using position controllers. A field–circuit model of the RAMB system dedicated to the simulation of the transient states is described. The model includes the necessary control system with PID controllers for the rotor position and PI controllers for currents excited in windings. The aim of this paper is to present an effective and fast model of the RAMB system, which can be used to test various controllers as well as determine its parameters

Structure of the active magnetic bearing
Mathematical model of the active magnetic bearing
Simulation results
Experimental verification of the simulations
Conclusion

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