Modern Control System Learning
This manuscript will explore and analyze the effects of different controllers in an overall spacecraft’s attitude determination and control system (ADCS). The experimental setup will include comparing an ideal nonlinear feedforward controller, a feedback controller, and a combined ideal nonlinear fe...
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| Autores principales: | , |
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2020
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| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/71091 |
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| _version_ | 1879164703846957056 |
|---|---|
| author | Smeresky, Brendon Rizzo, Alex |
| author_browse | Rizzo, Alex Smeresky, Brendon |
| author_facet | Smeresky, Brendon Rizzo, Alex |
| author_sort | Smeresky, Brendon |
| building | IntechOpen |
| collection | Acceso abierto |
| description | This manuscript will explore and analyze the effects of different controllers in an overall spacecraft’s attitude determination and control system (ADCS). The experimental setup will include comparing an ideal nonlinear feedforward controller, a feedback controller, and a combined ideal nonlinear feedforward + feedback controller within a Simulink simulation. A custom proportional, derivative, integral controller was implemented in the feedback control, adding an additional term to account for the nonlinear coupled motion. Consistent proportional, derivative, and integral gains were used throughout the duration of the experiment. The simulated results will show that the ideal nonlinear feedforward controller lacked an error correction mechanism and took extra time to execute, the feedback controller faired only slightly better, but the combined ideal nonlinear feedforward controller with feedback correction yielded the highest accuracy with the lowest execution time. This highlights the potential effectiveness for a learning control system. |
| doi_str_mv | 10.5772/intechopen.90198 |
| first_indexed | 2026-10-15T21:38:33Z |
| format | Book Chapter |
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<dc:title>Modern Control System Learning</dc:title>
<dc:creator>Brendon Smeresky</dc:creator>
<dc:creator>Alex Rizzo</dc:creator>
<dc:subject>Physical Sciences, Engineering and Technology</dc:subject>
<dc:description>This manuscript will explore and analyze the effects of different controllers in an overall spacecraft’s attitude determination and control system (ADCS). The experimental setup will include comparing an ideal nonlinear feedforward controller, a feedback controller, and a combined ideal nonlinear feedforward + feedback controller within a Simulink simulation. A custom proportional, derivative, integral controller was implemented in the feedback control, adding an additional term to account for the nonlinear coupled motion. Consistent proportional, derivative, and integral gains were used throughout the duration of the experiment. The simulated results will show that the ideal nonlinear feedforward controller lacked an error correction mechanism and took extra time to execute, the feedback controller faired only slightly better, but the combined ideal nonlinear feedforward controller with feedback correction yielded the highest accuracy with the lowest execution time. This highlights the potential effectiveness for a learning control system.</dc:description>
<dc:publisher>IntechOpen</dc:publisher>
<dc:date>2020-05-27</dc:date>
<dc:type>Chapter, Part Of Book</dc:type>
<dc:identifier>https://www.intechopen.com/chapters/71091</dc:identifier>
<dc:identifier>doi:10.5772/intechopen.90198</dc:identifier>
<dc:language>en</dc:language>
<dc:relation>ISBN:978-1-78984-111-4</dc:relation>
<dc:rights>https://creativecommons.org/licenses/by/3.0/</dc:rights>
<dc:source>https://www.intechopen.com/books/8841 ; Deterministic Artificial Intelligence</dc:source>
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| id | intech-71091 |
| institution | IntechOpen |
| isbn | 978-1-78984-111-4 |
| language | English |
| last_indexed | 2026-10-15T21:38:33Z |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | oai_dc |
| spelling | intech-710912020-05-27 Modern Control System Learning Brendon Smeresky Alex Rizzo Physical Sciences, Engineering and Technology This manuscript will explore and analyze the effects of different controllers in an overall spacecraft’s attitude determination and control system (ADCS). The experimental setup will include comparing an ideal nonlinear feedforward controller, a feedback controller, and a combined ideal nonlinear feedforward + feedback controller within a Simulink simulation. A custom proportional, derivative, integral controller was implemented in the feedback control, adding an additional term to account for the nonlinear coupled motion. Consistent proportional, derivative, and integral gains were used throughout the duration of the experiment. The simulated results will show that the ideal nonlinear feedforward controller lacked an error correction mechanism and took extra time to execute, the feedback controller faired only slightly better, but the combined ideal nonlinear feedforward controller with feedback correction yielded the highest accuracy with the lowest execution time. This highlights the potential effectiveness for a learning control system. IntechOpen 2020-05-27 Chapter, Part Of Book https://www.intechopen.com/chapters/71091 doi:10.5772/intechopen.90198 en ISBN:978-1-78984-111-4 https://creativecommons.org/licenses/by/3.0/ https://www.intechopen.com/books/8841 ; Deterministic Artificial Intelligence |
| spellingShingle | Physical Sciences, Engineering and Technology Smeresky, Brendon Rizzo, Alex Modern Control System Learning |
| title | Modern Control System Learning |
| title_full | Modern Control System Learning |
| title_fullStr | Modern Control System Learning |
| title_full_unstemmed | Modern Control System Learning |
| title_short | Modern Control System Learning |
| title_sort | modern control system learning |
| topic | Physical Sciences, Engineering and Technology |
| url | https://www.intechopen.com/chapters/71091 |
| work_keys_str_mv | AT smereskybrendon moderncontrolsystemlearning AT rizzoalex moderncontrolsystemlearning |