教師資料查詢 | 類別: 期刊論文 | 教師: 許駿飛 Hsu, Chun-Fei (瀏覽個人網頁)

標題：Intelligent tracking control of a DC motor driver using self-organizing TSK type fuzzy neural networks
學年99
學期2
出版（發表）日期2011/04/06
作品名稱Intelligent tracking control of a DC motor driver using self-organizing TSK type fuzzy neural networks
作品名稱（其他語言）
著者Hsu, Chun-Fei
單位淡江大學電機工程學系
出版者Dordrecht: Springer Netherlands
著錄名稱、卷期、頁數Nonlinear Dynamics 67(1), pp.587-600
摘要In this paper, a self-organizing Takagi–Sugeno–Kang (TSK) type fuzzy neural network (STFNN) is proposed. The self-organizing approach demonstrates the property of automatically generating and pruning the fuzzy rules of STFNN without the preliminary knowledge. The learning algorithms not only extract the fuzzy rule of STFNN but also adjust the parameters of STFNN. Then, an adaptive self-organizing TSK-type fuzzy network controller (ASTFNC) system which is composed of a neural controller and a robust compensator is proposed. The neural controller uses an STFNN to approximate an ideal controller, and the robust compensator is designed to eliminate the approximation error in the Lyapunov stability sense without occurring chattering phenomena. Moreover, a proportional-integral (PI) type parameter tuning mechanism is derived to speed up the convergence rates of the tracking error. Finally, the proposed ASTFNC system is applied to a DC motor driver on a field-programmable gate array chip for low-cost and high-performance industrial applications. The experimental results verify the system stabilization and favorable tracking performance, and no chattering phenomena can be achieved by the proposed ASTFNC scheme.
關鍵字Adaptive control;Neural control;Fuzzy neural network;Self-organizing;DC motor driver
語言英文
ISSN1573-269X
期刊性質國外
收錄於SCI;
產學合作
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