• 沒有找到結果。

結論與未來展望

5.1 結論

根據以上實驗結果,分別針對全向平台運動控制、感測融合、RFID 定 位部分做出以下幾點結論:

1、全向平台運動控制方面

首先分析各軸特性,建立一組 PID 控制器適於全向平台之各軸,並藉 由導出四軸的平台運動模型,以 inverse kinematics 技術實現全向性平台之 運動控制器,提升了在直線與曲線路徑上的追跡能力,並探討加減速對於 改善打滑之影響,以200 cm 直線路徑為例,使用梯形或 S 形速規,可降低 步階速規約15~20%的誤差。

2、感測融合方面

由於 encoder 對於打滑情形並不易得知,compass 對於角度穩定性不 足,以至於回授資訊的可靠度降低,加入了感測融合概念,分析 encoder 與 compass 回授之優缺點,以此建立動態感測融合機制,在兼顧穩定性與 準確性之下,改善平台運動方位誤差50%。

3、RFID 定位方面

以平台分段式移動策略並結合 RFID 功率調變,建立全向平台之絕對 定位技術,改善定位平均誤差從11 cm 降到約 3 cm。

5.2 未來展望

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