美国犹他大学Prof. Darrin Young学术报告
报告题目:Wireless MEMS-Based Strain Sensing Microsystem
报告时间:2009年9月22日下午2:00
报告地点:行政楼208会议室
Wireless MEMS-Based Strain Sensing Microsystem
Professor Darrin Young
Electrical and Computer Engineering Department
The
Abstract
Advancement in micromachined sensors, actuators, and low-power integrated electronics has fueled recent rapid development in wireless microsystem technology providing autonomous sensing and communication capability. Ultra low system power dissipation allows batteryless microsystem to be achieved with a small form factor and powered by ambient or external energy sources. Such system is crucial for biomedical as well as industrial sensing applications, where size, weight, and limited access are critical system design constraints. Optimized design in system, device, circuit, and packaging is highly important for achieving an overall high performance. In this seminar, I will present a high-performance MEMS-based strain sensing microsystem consisting of sensors and interface electronics for advanced industrial applications. A MEMS capacitive strain sensor converts an input strain to a capacitance change with a sensitivity of 26.5 aF per 0.1 me. Low-noise integrated sensing electronics employing a continuous time synchronous detection architecture convert the capacitive signal to an output voltage followed by a 2nd-order ΣΔ ADC. An RF-to-DC converter based on inductive coupled coils converts a 50 MHz AC signal to a stable DC supply of 2.8V with a current driving capability of 2 mA, sufficient to power the microsystem. A two-channel digital phase shift keying (PSK) and amplitude shift keying (LSK) passive telemetry achieve a wireless data transmission rate of 2.56 Mbps and 128 kbps, respectively, which are adequate for sending the strain data and temperature information for thermal compensation. The prototype microsystem achieves a minimum detectable strain of 0.5 ne/
Darrin Young’s Biography
Darrin J. Young received his B.S., M.S., and Ph.D. degrees from the Department of Electrical Engineering and Computer Sciences at