利用數位信號處理器實現模糊滑動模式控制於倒三角體系統; The DSP-based fuzzy sliding mode control in a seesaw system

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Electrical Engineering > Electronic Thesis & Dissertation > Item 987654321/9783

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/9783

Title:	利用數位信號處理器實現模糊滑動模式控制於倒三角體系統;The DSP-based fuzzy sliding mode control in a seesaw system
Authors:	戴宇龍;Yu-Lung Tai
Contributors:	電機工程研究所
Keywords:	超取樣;數位信號處理器;模糊控制;fuzzy control;oversampling;digital signal processing
Date:	2004-06-30
Issue Date:	2009-09-22 11:56:03 (UTC+8)
Publisher:	國立中央大學圖書館
Abstract:	本論文利用TMS320LF2407A數位信號處理器實現模糊滑動模式控制於倒三角體系統。這裡所用的模糊滑動模式控制最大的特性是可以把系統的狀態利用滑動模式控制的觀念化簡成一個模糊變數，大大的減少了模糊規則的數量，適合應用在高階非線性系統的控制。數位信號處理器具有低成本、高運算性能，已經非常廣泛的應用在工業界，日常生活中。因此我們利用德州儀器專為控制應用設計的數位信號處理器當作控制器達到即時控制的目的。在實際應用上，我們還使用了超取樣的技術。利用超取樣這個方法，可以減少量化誤差，改善訊號雜訊比。也就是增加了類比數位轉換器的解析度，提升控制系統的準確度。 In this paper, an artificial fuzzy sliding mode control is implemented on the Texas Instruments TMS320LF2407A digital signal processor (DSP) for control the seesaw system. The feature of the fuzzy sliding mode control is that it only needs a single fuzzy input. The advantage of the approach is that the total number of rules has been greatly reduced comparing with the conventional fuzzy control. It was suitable for high order and nonlinear system of control system. Due to the fact that DSP owns the advantage of low-cost and high calculation performance, it has been widely applied in industry and our life. So we used the DSP to control the seesaw system to achieve the real time control goal. For practical application, an oversampling method is employed. This technique can increase the resolution of the original ADC and can enhance the accuracy of a control system by reducing the quantization error while improving the signal-noise ratio (SNR) .
Appears in Collections:	[Graduate Institute of Electrical Engineering] Electronic Thesis & Dissertation

Files in This Item:

File	Size	Format

社群 sharing

Loading...