High-speed direct model predictive control for power electronics
Common approaches for direct model predictive control (MPC) for current reference tracking in power electronics suffer from the high computational complexity encountered when solving integer optimal control problems over long prediction horizons. We propose an efficient alternative method based on a...
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| Format: | Conference item |
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Institute of Electrical and Electronics Engineers
2017
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| _version_ | 1797090754919661568 |
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| author | Stellato, B Goulart, P |
| author_facet | Stellato, B Goulart, P |
| author_sort | Stellato, B |
| collection | OXFORD |
| description | Common approaches for direct model predictive control (MPC) for current reference tracking in power electronics suffer from the high computational complexity encountered when solving integer optimal control problems over long prediction horizons. We propose an efficient alternative method based on approximate dynamic programming, greatly reducing the computational burden and enabling sampling times under 25μs. Our approach is based on the offline minimization of an infinite horizon cost function estimate which is then applied to the tail cost of the MPC problem. This allows us to reduce the controller horizon to a very small number of stages improving overall controller performance. Our proposed algorithm is validated on a variable speed drive system with a three-level voltage source converter. |
| first_indexed | 2024-03-07T03:23:15Z |
| format | Conference item |
| id | oxford-uuid:b829c6ad-c2f5-4fca-8329-eb61963c0e41 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T03:23:15Z |
| publishDate | 2017 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | oxford-uuid:b829c6ad-c2f5-4fca-8329-eb61963c0e412022-03-27T04:53:58ZHigh-speed direct model predictive control for power electronicsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:b829c6ad-c2f5-4fca-8329-eb61963c0e41Symplectic Elements at OxfordInstitute of Electrical and Electronics Engineers2017Stellato, BGoulart, PCommon approaches for direct model predictive control (MPC) for current reference tracking in power electronics suffer from the high computational complexity encountered when solving integer optimal control problems over long prediction horizons. We propose an efficient alternative method based on approximate dynamic programming, greatly reducing the computational burden and enabling sampling times under 25μs. Our approach is based on the offline minimization of an infinite horizon cost function estimate which is then applied to the tail cost of the MPC problem. This allows us to reduce the controller horizon to a very small number of stages improving overall controller performance. Our proposed algorithm is validated on a variable speed drive system with a three-level voltage source converter. |
| spellingShingle | Stellato, B Goulart, P High-speed direct model predictive control for power electronics |
| title | High-speed direct model predictive control for power electronics |
| title_full | High-speed direct model predictive control for power electronics |
| title_fullStr | High-speed direct model predictive control for power electronics |
| title_full_unstemmed | High-speed direct model predictive control for power electronics |
| title_short | High-speed direct model predictive control for power electronics |
| title_sort | high speed direct model predictive control for power electronics |
| work_keys_str_mv | AT stellatob highspeeddirectmodelpredictivecontrolforpowerelectronics AT goulartp highspeeddirectmodelpredictivecontrolforpowerelectronics |