A disturbance reduction scheme for linear small delay systems with modeling uncertainties

NCU Institutional Repository > 工學院 > 機械工程學系 > 期刊論文 > Item 987654321/50031

請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/50031

題名:	A disturbance reduction scheme for linear small delay systems with modeling uncertainties
作者:	Tsai,MH;Tung,PC
貢獻者:	機械工程學系
關鍵詞:	MODIFIED SMITH PREDICTOR;LONG DEAD-TIME;NEURAL NETWORKS;INTEGRATOR
日期:	2010
上傳時間:	2012-03-27 17:01:34 (UTC+8)
出版者:	國立中央大學
摘要:	A disturbance reduction scheme for linear delay systems with modeling uncertainties is presented in this paper. The linear systems in this study are assumed to be nominally stable, minimum phase and relative degree one systems. The control structure is based on Astrom's modified Smith predictor with a disturbance reduction scheme and an artificial neural network (ANN). Unlike other disturbance rejection methods, the proposed scheme does not require information about unknown disturbance frequencies. The ANN is used to approximate a product of an inverse of a time delay and a nonnegative gain and to augment the robustness of the proposed approach against modeling uncertainties including a time-varying delay. Connective weights of the ANN are trained on-line using a back-propagation algorithm according to a disturbance estimation error function. Simulation results show the effectiveness of the presented disturbance reduction scheme for linear delay systems with modeling uncertainties, subjected to both periodic and non-periodic unknown load disturbances. (C) 2010 Elsevier Ltd. All rights reserved.
關聯:	JOURNAL OF PROCESS CONTROL
顯示於類別:	[機械工程學系] 期刊論文

文件中的檔案:

檔案	描述	大小	格式	瀏覽次數
index.html		0Kb	HTML	312	檢視/開啟

在NCUIR中所有的資料項目都受到原著作權保護.

社群 sharing

資料載入中.....