Design of Adaptive Vehicle Rotate Angle System using Dual MEMS Inertia Sensor and its Application

• Main Authors: Yu-ShunJheng, 鄭宇舜
• Other Authors: Sheng-Chih Shen
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/00225483547487337664

碩士 === 國立成功大學 === 系統及船舶機電工程學系碩博士班 === 100 === This thesis presents an adaptive vehicle rotate angle system using dual MEMS inertia sensor, which can apply to underwater environment. The system consist of vehicles rotate angle estimation module and driving module. The angle estimation module calculate the vehicle steering angle model by the two accelerometers. The design of vehicle steering angle model can be divided into three parts, including the roll angle correction method, turning radius calculation method and driving module rotate angle. Turning roll angle correction method calibrate the influence of gravity in centripetal acceleration by the accelerometer multi-axis sensing characteristics. Turning radius calculation method calculate the turning radius by the difference value between two accelerometers distance. The rotate angle and maximum rotate angle of driving module is calculated by illuminating distance, light angle and Turning radius. Driving module is composed of two core components: symmetrical piezoelectric element and trussed preload structure which can improve the general linear preload track design into torque track design. The truss structure utilized a triangular structure to provide a normal force as preload. The software LabVIEW is used to control the adaptive vehicle rotate angle system, and link up driving module and vehicle rotate angle estimation module. The design of active vehicle rotation angle estimation system could be combined with the lighting design and camera, the concept and has been estimated in various applications, such as adaptive front lighting system and unmanned aerial vehicle or autonomous underwater vehicle camera.