Automatic Design of a Maglev Controller in State Space

dc.creator	Zhao, Feng
dc.creator	Thorton, Richard
dc.date	2004-10-08T20:28:46Z
dc.date	2004-10-08T20:28:46Z
dc.date	1991-12-01
dc.date.accessioned	2013-10-09T02:46:05Z
dc.date.available	2013-10-09T02:46:05Z
dc.date.issued	2013-10-09
dc.identifier	AIM-1303
dc.identifier	http://hdl.handle.net/1721.1/6572
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	We describe the automatic synthesis of a global nonlinear controller for stabilizing a magnetic levitation system. The synthesized control system can stabilize the maglev vehicle with large initial displacements from an equilibrium, and possesses a much larger operating region than the classical linear feedback design for the same system. The controller is automatically synthesized by a suite of computational tools. This work demonstrates that the difficult control synthesis task can be automated, using programs that actively exploit knowledge of nonlinear dynamics and state space and combine powerful numerical and symbolic computations with spatial-reasoning techniques.
dc.format	1926406 bytes
dc.format	763975 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AIM-1303
dc.title	Automatic Design of a Maglev Controller in State Space

Files in this item

Files	Size	Format	View
There are no files associated with this item.