Ultra low power MSP432 calculation for PID-neural control in magnetic bearing system

Abstract

The paper proposed ultra-low power MSP432 microcontroller calculation for magnetic bearing system, and we design a PID-neural controller to control magnetic bearing position. Traditional bearing have many disadvantage that included rotor friction, rotor shake and lubricating oil be used. The magnetic bearing rotor was used magnetic levitation technology to improve traditional issue. This paper implemented MSP432 which is ARM cortex-M4F structure and low power consumption to design PID-neural controller control in magnetic bearing rotor position.