Automatic Design of a Maglev Controller in State Space
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 classic...
| Main Authors: | , |
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| Language: | en_US |
| Published: |
2004
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| Online Access: | http://hdl.handle.net/1721.1/6572 |
| _version_ | 1826211605885485056 |
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| author | Zhao, Feng Thorton, Richard |
| author_facet | Zhao, Feng Thorton, Richard |
| author_sort | Zhao, Feng |
| collection | MIT |
| 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. |
| first_indexed | 2024-09-23T15:08:38Z |
| id | mit-1721.1/6572 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:08:38Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | mit-1721.1/65722019-04-11T02:52:29Z Automatic Design of a Maglev Controller in State Space Zhao, Feng Thorton, Richard 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. 2004-10-08T20:28:46Z 2004-10-08T20:28:46Z 1991-12-01 AIM-1303 http://hdl.handle.net/1721.1/6572 en_US AIM-1303 1926406 bytes 763975 bytes application/postscript application/pdf application/postscript application/pdf |
| spellingShingle | Zhao, Feng Thorton, Richard Automatic Design of a Maglev Controller in State Space |
| title | Automatic Design of a Maglev Controller in State Space |
| title_full | Automatic Design of a Maglev Controller in State Space |
| title_fullStr | Automatic Design of a Maglev Controller in State Space |
| title_full_unstemmed | Automatic Design of a Maglev Controller in State Space |
| title_short | Automatic Design of a Maglev Controller in State Space |
| title_sort | automatic design of a maglev controller in state space |
| url | http://hdl.handle.net/1721.1/6572 |
| work_keys_str_mv | AT zhaofeng automaticdesignofamaglevcontrollerinstatespace AT thortonrichard automaticdesignofamaglevcontrollerinstatespace |