Abstract
We introduce the high smart pressure sensor’s hardware-circuit design based on Ultra-Low Power MSP430 MCU, the BP network algorithm in temperature compensation because of the pressure sensor’s temperature drift is analyzed, and the collected values of MPM280’s temperature and pressure signals with MCU are used in 4-layer BP network for offline training. We express the suited network module by C language program, and analyze the software-implemented method. The result shows that the MSP430 MCU can reduce system power and its rich exterior equipments can reduce the size of pressure sensor, the training of BP network by use of digital A/D value of MCU conversion reduces the error, the pressure sensor’s precision is improved by BP network, the precision is 0.1%.
Published Version
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