Design and Development of Ultralow-Power MEMS Lead-Free Piezoelectric Accelerometer Digital System for Unmanned Aerial Vehicle Motor Monitoring

Cheng Ying Li, Soon Jyh Chang, Rui Tong Weng, Sin Yu Ciou, Ze Hui Chen, Po Yu Hsiao, Yen Hsiang Huang, Ting Jui Wang, Yi Chia Lee, Yun Hui Liu, Cheng Che Tsai, Sheng Yuan Chu

Research output: Contribution to journalArticlepeer-review

Abstract

In this article, an ultralow-power microelectromechanical system (MEMS) lead-free piezoelectric accelerometer digital system is developed. This proposed system is mainly composed of a MEMS lead-free piezoelectric accelerometer and a readout circuit with successive approximation register (SAR) analog-to-digital converter (ADC). In this work, ANSYS software is used to design the structure, and LZO (ZnO: 3 mol% Li) piezoelectric films are deposited by radio frequency (RF) sputtering method, and LZO-based MEMS lead-free piezoelectric accelerometers are developed with an effective bandwidth of about 600 Hz in the 3-dB range through the MEMS process. The proposed readout circuit achieves high linearity and ultralow power consumption by optimizing each operational amplifier (OPAMP) according to the linearity requirement of the whole system. The differential architecture is adopted to deal with the sensed signal for the purpose of reducing the common-mode noise. A proof-of-concept chip is implemented in a 0.18- μ CMOS process. At 1.8-V supply voltage and 100-kS/s sampling rate, the ADC achieves a signal-to-noise-and-distortion ratio (SNDR) of 58.92 dB and a corresponding effective number of bits (ENOB) of 9.5 bits for an input at Nyquist frequency. The power consumption of the ADC is 2.18 μW , resulting a figure-of-merit (FoM) of 30.1 fJ/conversion step. Combining with the piezoelectric accelerometer, the accelerometer system can achieve 600-Hz bandwidth with a 142-mV/g sensitivity and the linearity is 0.9998. Finally, this system is applied to the unmanned aerial vehicle to monitor the motor health status and successfully judge whether the motor of the unmanned aerial vehicle is abnormal.

Original languageEnglish
Pages (from-to)18599-18608
Number of pages10
JournalIEEE Sensors Journal
Volume23
Issue number16
DOIs
Publication statusPublished - 2023 Aug 15

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Electrical and Electronic Engineering

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