磁浮定位系統之適應性類神經控制設計

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题名:	磁浮定位系統之適應性類神經控制設計 Adaptive neural control of a magnetic levitation system
作者:	範青風 Phong, Pham Thanh
贡献者:	機械工程學系數位機電碩士班
关键词:	magnetic levitation system sliding mode control smooth switching neural network
日期:	2015-06
上传时间:	2015-08-19 14:17:52 (UTC+8)
摘要:	This thesis considers the position-tracking problem of a magnetic levitation system in the presence of modeling errors due to uncertainties of physical parameters. First, a dynamic model of the magnetic levitation system is derived. Then, a smooth switching adaptive robust control is proposed. The controller consists of three part, an adaptive linearizing controller using RBFN, robust controller, and an smooth function to switch between the above two controllers . The proposed controller improves the tracking performance and avoids the so-called control singularity occurred in a standard adaptive linearizing controller. Both simulation and experiments are carried out to verify the proposed method.
显示于类别:	[機械工程系暨機械工程學系數位機電研究所] 博碩士論文

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