未來工作

綜合所提出的控制策略及所實驗的結果，可得到預期中的效果，所控制的性 能有呈現逐漸改善的效果。最後一個控制器是根據系統動態方程式所設計，因此 裡面有許多參數是與當下狀態有關係，希望在未來的實驗裡可以將氣體壓力、溫 度等資訊收集回來，加以分析讓控制器的效能更好。而在實驗規劃方面，由於對 氣動馬達的轉速控制是初次實驗，所規劃的波形為固定振幅、頻率的正弦波。經 由多次實驗累積的經驗，對氣動馬達的性能較熟悉並且控制較有效率，因此在未 來可以嘗試將標準的正弦波做一些頻率、振幅的變化，甚至是變動性負載，以測 試各個控制器在不同情況下之控制效能是否仍能保持強健性。

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系統參數表

理想氣體常數, R 287(J/kg-k)

定壓下比熱, CP 1108(J/kg-k)

比熱率, γ 1.4

流量係數, Cd 1

阻尼係數, B 0.001(N-s/rad)

轉動慣量, J 0.0001(N-m²)

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作 者 簡 歷

一、作者資料 中文姓名:龔 聖 賢

英文姓名:Sheng-Sian Gong 籍貫:新北市

出生日期:民國 79 年 3 月 18 日

二、學歷

2013.9 ~ 2015.6 國立臺灣師範大學電機工程學系碩士 2009.9 ~ 2013.6 國立臺灣師範大學應用電子科技學系

三、著作

[1] S. Y. Chen, and S. S. Gong, “Hierarchical double integral sliding-mode control for second-order underactuated systems,” Automatic Control Conference, pp. 173-178, Kaohsiung, 2014.

[2] S. Y. Chen, Y. H. Hung, and S. S. Gong, “DSP-based speed control of pneumatic servo system using adaptive dynamic sliding-mode control,” IEEE Trans.

Industrial Electronics, under review.

[3] S. Y. Chen, Y. H. Hung, and S. S. Gong, “Speed control of vane-type air motor servo system using PID-based fuzzy neural network,” International Journal of Fuzzy Systems, under review.