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

Chao-Ting Chu, Yung-Sheng Chang, Yuan-Kai Wang
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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.
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磁轴承系统pid神经控制的超低功耗MSP432计算
本文提出了超低功耗MSP432单片机对磁轴承系统进行计算,并设计了pid神经控制器对磁轴承位置进行控制。传统轴承存在转子摩擦、转子震动和使用润滑油等缺点。磁轴承转子采用磁悬浮技术对传统问题进行了改进。本文采用ARM cortex-M4F结构和低功耗的MSP432设计了磁轴承转子位置的pid神经控制器控制。
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