SOURCE-LINKED INTELLIGENCE

Towards no-drift sensors with on-chip self-calibration

CORDIS · observation · Publication date unknown

k into a practical 0-drift sensor with self-calibration. The proposed system consists of a circular MEMS sensor with multiple (~100) distributed stress sensors and piezoelectric stress transducers, a machine learning supported analytical calibration model, a custom ASIC for superior noise, and an FPGA for system control and self-calibration. If successful, the proposed approach would improve the MEMS gyroscope stability by >100X to the levels of 10-4 – 10-5°/h, enabling error-free, only gravity-referenced inertial navigation. Unlike GPS or camera, inertial navigation works under all weather, light, and location conditions providing a stable reference to navigation algorithms. With further miniaturization, 0-drift sensors could fit into smartphones, and reliable indoor navigation would become a reality. The compact, low-cost sensor could also disrupt the precision inertial market dominated by bulky and expensive fiber-optic and laser sensors. MEMS, inertial sensors, stress sensing, gyroscope, stress calibration, drift compensation

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recordType

award

status

SIGNED

region

EU

value

1650000

unit

EUR