Radial suspension control of magnetic bearing switched reluctance motor based on the ITAE optimization

Considering the serious non-linearization of a magnetic bearing switched reluctance motor (MBSRM) radial suspension system and the difficulty in using the PID control directly, this paper presents a control scheme, combining the ITAE (Integrated Time and Absolute Error) optimal control and the PID control. It is used directly in adjusting the radial suspending current, and the control system achieves the rotor radial displacement control of MBSRM. Taking MATLAB/Simulink as a programming environment, the simulation is carried out and the results indicate that the ITAE optimization controller not only effectively improves the stability of the system, but also greatly reduces the adjustment time. The paper lays a foundation for further experimental research on the MBSRM radial suspending and rotating control.