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研究生: 陳呈羽
Cheng-Yu Chen
論文名稱: MEMS感測器在三維車輛定位之性能與誤差分析
Performance and error analysis of MEMS sensors in 3-D vehicle positioning application
指導教授: 高維文
Wei-Wen Kao
口試委員: 卓大靖
Dah-Jing Jwo
陳亮光
Liang-Kuang Chen
學位類別: 碩士
Master
系所名稱: 工程學院 - 機械工程系
Department of Mechanical Engineering
論文出版年: 2009
畢業學年度: 97
語文別: 中文
論文頁數: 103
中文關鍵詞: 車輛導航定位慣性感測器方位推估
外文關鍵詞: vehicle navigation, inertial sensors, Dead-Reckoning
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目前,在車輛導航定位領域中,使用GPS整合INS是非常廣泛的,可惜,一旦GPS失效時,卻僅能使用INS繼續輔助車輛導航的工作。由於,慣性感測器在長時間使用下會造成感測器的發散飄移現象以及偏移量,且加速儀在三維空間進行加速度量測時,會量測到因路面坡度的改變而產生重力加速度效應。因此,本論文首先分析感測器的誤差來源,再藉由這些誤差特性提出幾項校正法則進行慣性感測器之校正,同時,加速儀量測到的重力加速度誤差係利用氣壓計高度信號校正之。

為了證明感測器校正法則與氣壓計校正加速儀的有效性,本論文先針對加速儀、陀螺儀與氣壓計分別作條件性的靜態與動態量測實驗,其目的是確認本論文所提出之校正法則是可行的,最後再進行實際的道路實驗,利用氣壓計量測高度變化資訊來校正加速儀因坡度變化所造成的重力加速度誤差,進而實現純慣性導航之二維平面以及三維空間的方位推估。


Nowadays positioning systems integrating GPS and INS is widely used in vehicle navigation fields. However, when GPS failed one can only rely on INS alone to provide continuous vehicle positions for navigation purpose in these systems. INS sensors suffer from the drifts and biases under long term operations. In addition, accelerometers will be affected by the gravity effect generated from road grades in three-dimensional environment and this will result in error accumulations. In this thesis the error sources for various sensors are studied first. Based on the sensor error characteristics several sensor calibration methods are proposed to improve sensor performance. At the same time, the height measured by barometer is used to compensate the gravity effect in the accelerometer measurements.
In order to prove the validity of the proposed sensor calibration algorithms and barometer height compensation algorithm, this thesis starts with some conditional static and dynamic tests separately for accelerometer, gyroscope and barometer. The purpose of these tests is to confirming the proposed in the thesis is feasible. Finally, some real road tests are conducted. By using the height information of the calibration the gravity acceleration error generated by the road slope change, accurate two-dimensional and three-dimensional Dead-Reckoning results are achieved by using only inertial sensors.

摘要 I Abstract II 目錄 III 圖目錄 V 表目錄 V 第一章 緒論 1 1.1 前言 1 1.2文獻回顧 2 1.3 研究動機 3 1.4 論文架構 4 第二章 導航定位系統與架構 5 2.1衛星導航系統 5 2.2 慣性導航定位系統平台 5 2.3 MEMS感測器工作原理 9 2.3.1加速儀(Accelerometer) 9 2.3.2陀螺儀(Gyroscope) 13 2.3.3氣壓計(Barometer) 20 2.4 實驗硬體架構平台 22 2.5 全球定位系統與慣性導航系統座標轉換關係 23 第三章 感測器誤差分析與校正法則 26 3.1 感測器誤差分析 26 3.1.1感測器誤差分析 26 3.1.2感測器靜態誤差分析 27 3.2 感測器校正法則 40 3.2.1加速儀校正 40 3.2.2陀螺儀校正 56 第四章 定位法則 59 4.1 方位推估法(Dead-Reckoning Method) 60 4.2 方位推估誤差分析 63 4.3 方位推估的感測器 65 第五章 實驗與結果 66 5.1 實驗結果 66 5.1.1 實驗一、長安東路口行經建國高架道路到辛亥路口 66 5.1.2 實驗二、環河北路口行經市民高架道路到金山南路口 74 5.1.3 實驗三、師大路口行經汀州路三段地下道到辛亥路口 81 5.1.4 實驗四、辛亥隧道 89 5.2 實驗討論 96 第六章 未來與展望 98 6.1 結論 98 6.2 建議 98 6.3 未來展望 99 參考文獻 100 作者簡介 103

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