Model predictive control for Takagi–Sugeno fuzzy model-based Spacecraft combined energy and attitude control system
A Combined Energy and Attitude Control System (CEACS) is a dual system in which flywheels are used as energy storage and attitude control devices. This work is a progress on CEACS for small satellites to improve the attitude accuracy. In this maiden work, the Fuzzy–MPC controller is introduced to re...
| Main Authors: | , , , , |
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| Format: | Article |
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Elsevier
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/110252/ |
| _version_ | 1848865473817477120 |
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| author | Aslam, Sohaib Yew, Chung Chak Hussain Jaffery, Mujtaba Varatharajoo, Renuganth Ahmad Ansari, Ejaz |
| author_facet | Aslam, Sohaib Yew, Chung Chak Hussain Jaffery, Mujtaba Varatharajoo, Renuganth Ahmad Ansari, Ejaz |
| author_sort | Aslam, Sohaib |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | A Combined Energy and Attitude Control System (CEACS) is a dual system in which flywheels are used as energy storage and attitude control devices. This work is a progress on CEACS for small satellites to improve the attitude accuracy. In this maiden work, the Fuzzy–MPC controller is introduced to regulate the CEACS attitude with both linear and nonlinear initial angles, and in the presence of actuator constraints. The nonlinear attitude model is transformed into a set of linear subsystems using the Takagi–Sugeno fuzzy modeling approach. The subsystem is designed with a MPC controller and a total control action is summed up using the parallel distributed compensation approach. The numerical results have been analyzed in terms of attitude pointing accuracies, actuator constraints, and energy consumed by the actuators. A performance comparison between the Fuzzy–MPC and Fuzzy–LQR controllers has also been done. The results validate that the Fuzzy-MPC controller achieves the desired CEACS attitude pointing accuracy of 0.0010° with a zero steady-state error and keeps the control torques within the actuator constraints. On the other hand, the Fuzzy–LQR controller gives some measurable steady-state error and achieves the CEACS attitude pointing accuracy of 0.0012°. Therefore, the Fuzzy–MPC based CEACS architecture not only achieves the desired pointing accuracies but also produces ten times smaller control torques than the Fuzzy–LQR controller, which result in a lower onboard power consumption. |
| first_indexed | 2025-11-15T14:05:16Z |
| format | Article |
| id | upm-110252 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T14:05:16Z |
| publishDate | 2023 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1102522024-06-20T04:17:28Z http://psasir.upm.edu.my/id/eprint/110252/ Model predictive control for Takagi–Sugeno fuzzy model-based Spacecraft combined energy and attitude control system Aslam, Sohaib Yew, Chung Chak Hussain Jaffery, Mujtaba Varatharajoo, Renuganth Ahmad Ansari, Ejaz A Combined Energy and Attitude Control System (CEACS) is a dual system in which flywheels are used as energy storage and attitude control devices. This work is a progress on CEACS for small satellites to improve the attitude accuracy. In this maiden work, the Fuzzy–MPC controller is introduced to regulate the CEACS attitude with both linear and nonlinear initial angles, and in the presence of actuator constraints. The nonlinear attitude model is transformed into a set of linear subsystems using the Takagi–Sugeno fuzzy modeling approach. The subsystem is designed with a MPC controller and a total control action is summed up using the parallel distributed compensation approach. The numerical results have been analyzed in terms of attitude pointing accuracies, actuator constraints, and energy consumed by the actuators. A performance comparison between the Fuzzy–MPC and Fuzzy–LQR controllers has also been done. The results validate that the Fuzzy-MPC controller achieves the desired CEACS attitude pointing accuracy of 0.0010° with a zero steady-state error and keeps the control torques within the actuator constraints. On the other hand, the Fuzzy–LQR controller gives some measurable steady-state error and achieves the CEACS attitude pointing accuracy of 0.0012°. Therefore, the Fuzzy–MPC based CEACS architecture not only achieves the desired pointing accuracies but also produces ten times smaller control torques than the Fuzzy–LQR controller, which result in a lower onboard power consumption. Elsevier 2023 Article PeerReviewed Aslam, Sohaib and Yew, Chung Chak and Hussain Jaffery, Mujtaba and Varatharajoo, Renuganth and Ahmad Ansari, Ejaz (2023) Model predictive control for Takagi–Sugeno fuzzy model-based Spacecraft combined energy and attitude control system. Advances in Space Research, 71 (10). 4155 - 4172. ISSN 0273-1177; ESSN: 1879-1948 https://linkinghub.elsevier.com/retrieve/pii/S027311772201153X 10.1016/j.asr.2022.12.045 |
| spellingShingle | Aslam, Sohaib Yew, Chung Chak Hussain Jaffery, Mujtaba Varatharajoo, Renuganth Ahmad Ansari, Ejaz Model predictive control for Takagi–Sugeno fuzzy model-based Spacecraft combined energy and attitude control system |
| title | Model predictive control for Takagi–Sugeno fuzzy model-based Spacecraft combined energy and attitude control system |
| title_full | Model predictive control for Takagi–Sugeno fuzzy model-based Spacecraft combined energy and attitude control system |
| title_fullStr | Model predictive control for Takagi–Sugeno fuzzy model-based Spacecraft combined energy and attitude control system |
| title_full_unstemmed | Model predictive control for Takagi–Sugeno fuzzy model-based Spacecraft combined energy and attitude control system |
| title_short | Model predictive control for Takagi–Sugeno fuzzy model-based Spacecraft combined energy and attitude control system |
| title_sort | model predictive control for takagi–sugeno fuzzy model-based spacecraft combined energy and attitude control system |
| url | http://psasir.upm.edu.my/id/eprint/110252/ http://psasir.upm.edu.my/id/eprint/110252/ http://psasir.upm.edu.my/id/eprint/110252/ |