在室內空間中應用RFID技術在定位方法之研究

Study on Position Algorithms with RFID in Indoor Spaces

陳志榮(Zhi-Rong Chen)

指導教授 ： 陳永隆

國立臺中科技大學/資訊與流通學院/資訊工程系碩士班/碩士(2012年)

https://doi.org/10.6826/NUTC.2012.00052

摘要

要解決室外定位的問題，GPS似乎是最好的解決方案，但GPS無法準確的於室內環境定位物體或人員。因此，在本文中，我們提出一個有效率的方法，使用被動射頻識別（RFID）的移動機器人定位、導航和位置判斷。我們提出的的方法能夠讓機器人準確的定位，並在特定的表面上。在模擬中，我們使用PID控制器讓馬達運轉更順暢，以提高閱讀效率，並使用曲線密合及灰色理論進行系統識別，建立馬達的系統估算，它可以減少測量數據，確保我們的機器人在讀取標籤時更有效率。

關鍵字

RDIF ； PID ； 曲線密合 ； 灰色理論 ； 定位系統 ； 自主系統 ； 室內定位系統

並列摘要

To solve outdoor positioning problems, global positioning system (GPS) seems to be the best solution. However, GPS is unable to accurately and precisely locate objects or humans indoors. Thus, in this paper, we propose an efficient method for localization and position estimation for mobile robot navigation using passive radio-frequency identification (RFID). In our method, it is possible to accurately locate autonomous entities such as robots and people within a defined area, and we control and monitor the position of the robot from a remote location through a mobile phone via Wi-Fi and Bluetooth network. Simulations results show that we use PID controllers to increase the efficiency of captured RFID tags, and curve fitting is used to systematically identify the revolutions per minute (RPM) of the motor. Furthermore, we estimate RPM of the motor from the curve fitting and grey theory model. Experiment results show that the number of captured RFID tags using our proposed method is greater than that of the fixed power level method.

並列關鍵字

RFID ； PID ； curve fitting ； grey theory ； location system ； indoor positioning system

參考文獻

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