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Automatic Design of a Maglev Controller in State Space

Author(s)
Zhao, Feng; Thorton, Richard
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Abstract
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.
Date issued
1991-12-01
URI
http://hdl.handle.net/1721.1/6572
Other identifiers
AIM-1303
Series/Report no.
AIM-1303

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  • AI Memos (1959 - 2004)

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