생체모사 섬모번들 어레이를 이용한 고감도 관성 센서 모델링

Abstract

Stereocilia is a basic sensory unit of nature and is known to have high sensitivity and broad dynamic range through adaptation and negative stiffness mechanism. In this study, we developed a high sensitivity inertia sensor model using array of biomimetic sterocilia model. The single stereocilia model consists of basic mechanical part, mass, spring, damper and additional part which make adaptation and negative stiffness. Negative stiffness is achieved using side by side placed magnet which makes repulsive force and stepping motor move an one magnet continuously which indicates adaptation process. The single stereocilia model represent spontaneous oscillation and has high sensitivity just before rapid jumping to opposite direction. But the single stereocilia model has a different output even no input applied. To overcome this problem we using array of a stereocilia model which has different adaptation phase. We use a summation of converted on-off signal which measured each single stereocilia displacement. Simulation results showed the high sensitivity compared to passive system and it also has linear relation between input force and output signal. This result can be applying to detecting signal problem such as detecting deflection of nanowire which need high sensitivity detection in noise environment.