Adaptive Neural Network-Based Satellite Attitude Control by Using the Dynamic Inversion Technique and a VSCMG Pyramidal Cluster
The paper presents an adaptive system for the control of small satellites’ attitude by using a pyramidal cluster of four variable-speed control moment gyros as actuators. Starting from the dynamic model of the pyramidal cluster, an adaptive control law is designed by means of the dynamic inversion m...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/1645042 |
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| _version_ | 1832551725500727296 |
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| author | Mihai Lungu Romulus Lungu |
| author_facet | Mihai Lungu Romulus Lungu |
| author_sort | Mihai Lungu |
| collection | DOAJ |
| description | The paper presents an adaptive system for the control of small satellites’ attitude by using a pyramidal cluster of four variable-speed control moment gyros as actuators. Starting from the dynamic model of the pyramidal cluster, an adaptive control law is designed by means of the dynamic inversion method and a feed-forward neural network-based nonlinear subsystem; the control law has a proportional-integrator component (for the control of the reduced-order linear subsystem) and an adaptive component (for the compensation of the approximation error associated with the function describing the dynamics of the nonlinear system). The software implementation and validation of the new control architecture are achieved by using the Matlab/Simulink environment. |
| format | Article |
| id | doaj-art-2c9c6e59dc004594836cd5b110f002ea |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-2c9c6e59dc004594836cd5b110f002ea2025-02-03T06:00:44ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/16450421645042Adaptive Neural Network-Based Satellite Attitude Control by Using the Dynamic Inversion Technique and a VSCMG Pyramidal ClusterMihai Lungu0Romulus Lungu1University of Craiova, Faculty of Electrical Engineering, Craiova, RomaniaUniversity of Craiova, Faculty of Electrical Engineering, Craiova, RomaniaThe paper presents an adaptive system for the control of small satellites’ attitude by using a pyramidal cluster of four variable-speed control moment gyros as actuators. Starting from the dynamic model of the pyramidal cluster, an adaptive control law is designed by means of the dynamic inversion method and a feed-forward neural network-based nonlinear subsystem; the control law has a proportional-integrator component (for the control of the reduced-order linear subsystem) and an adaptive component (for the compensation of the approximation error associated with the function describing the dynamics of the nonlinear system). The software implementation and validation of the new control architecture are achieved by using the Matlab/Simulink environment.http://dx.doi.org/10.1155/2019/1645042 |
| spellingShingle | Mihai Lungu Romulus Lungu Adaptive Neural Network-Based Satellite Attitude Control by Using the Dynamic Inversion Technique and a VSCMG Pyramidal Cluster Complexity |
| title | Adaptive Neural Network-Based Satellite Attitude Control by Using the Dynamic Inversion Technique and a VSCMG Pyramidal Cluster |
| title_full | Adaptive Neural Network-Based Satellite Attitude Control by Using the Dynamic Inversion Technique and a VSCMG Pyramidal Cluster |
| title_fullStr | Adaptive Neural Network-Based Satellite Attitude Control by Using the Dynamic Inversion Technique and a VSCMG Pyramidal Cluster |
| title_full_unstemmed | Adaptive Neural Network-Based Satellite Attitude Control by Using the Dynamic Inversion Technique and a VSCMG Pyramidal Cluster |
| title_short | Adaptive Neural Network-Based Satellite Attitude Control by Using the Dynamic Inversion Technique and a VSCMG Pyramidal Cluster |
| title_sort | adaptive neural network based satellite attitude control by using the dynamic inversion technique and a vscmg pyramidal cluster |
| url | http://dx.doi.org/10.1155/2019/1645042 |
| work_keys_str_mv | AT mihailungu adaptiveneuralnetworkbasedsatelliteattitudecontrolbyusingthedynamicinversiontechniqueandavscmgpyramidalcluster AT romuluslungu adaptiveneuralnetworkbasedsatelliteattitudecontrolbyusingthedynamicinversiontechniqueandavscmgpyramidalcluster |