Allocation Optimization Strategy for High-Precision Control of Picosatellites and Nanosatellites
The high-precision control of picosatellites and nanosatellites has always plagued the astronautics field. Aiming to change the status quo of the actuators not being able to meet the high-precision attitude control of picosatellites and nanosatellites, this article formulates a control allocation st...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2018/6239725 |
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| author | Bo Yang Jun Miao Zichen Fan Jun Long Xuhui Liu |
| author_facet | Bo Yang Jun Miao Zichen Fan Jun Long Xuhui Liu |
| author_sort | Bo Yang |
| collection | DOAJ |
| description | The high-precision control of picosatellites and nanosatellites has always plagued the astronautics field. Aiming to change the status quo of the actuators not being able to meet the high-precision attitude control of picosatellites and nanosatellites, this article formulates a control allocation strategy for picosatellites and nanosatellites using the solid propellant microthruster array (SPMA). To solve the problem of the diversity and complexity of ignition combinations brought about by the high integration of the SPMA, the energy consumption factor of the optimal allocation is established, and the relationships of the array’s energy consumption factor, the control accuracy, the number, and the ignition combinations of the thruster array are deduced. The optimization objective is introduced by Sherman-Morrison formula and singular value decomposition. Thus, the energy consumption problem is transformed into an integer programming problem, acquiring the control allocation strategy and the optimal thruster energy. Simulation results show that the proposed algorithm can effectively reduce the thrust energy consumption and improve the precision control, demonstrating the feasibility and efficiency of the proposed algorithm for picosatellites and nanosatellites. |
| format | Article |
| id | doaj-art-1b9f67e9e4e44a6da14a49db93a747e9 |
| institution | Kabale University |
| issn | 1687-5966 1687-5974 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-1b9f67e9e4e44a6da14a49db93a747e92025-02-03T07:26:17ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742018-01-01201810.1155/2018/62397256239725Allocation Optimization Strategy for High-Precision Control of Picosatellites and NanosatellitesBo Yang0Jun Miao1Zichen Fan2Jun Long3Xuhui Liu4School of Astronautics, Beihang University, Beijing, ChinaSchool of Astronautics, Beihang University, Beijing, ChinaSchool of Astronautics, Beihang University, Beijing, ChinaBeijing Institute of Control Engineering, Beijing, ChinaBeijing Institute of Control Engineering, Beijing, ChinaThe high-precision control of picosatellites and nanosatellites has always plagued the astronautics field. Aiming to change the status quo of the actuators not being able to meet the high-precision attitude control of picosatellites and nanosatellites, this article formulates a control allocation strategy for picosatellites and nanosatellites using the solid propellant microthruster array (SPMA). To solve the problem of the diversity and complexity of ignition combinations brought about by the high integration of the SPMA, the energy consumption factor of the optimal allocation is established, and the relationships of the array’s energy consumption factor, the control accuracy, the number, and the ignition combinations of the thruster array are deduced. The optimization objective is introduced by Sherman-Morrison formula and singular value decomposition. Thus, the energy consumption problem is transformed into an integer programming problem, acquiring the control allocation strategy and the optimal thruster energy. Simulation results show that the proposed algorithm can effectively reduce the thrust energy consumption and improve the precision control, demonstrating the feasibility and efficiency of the proposed algorithm for picosatellites and nanosatellites.http://dx.doi.org/10.1155/2018/6239725 |
| spellingShingle | Bo Yang Jun Miao Zichen Fan Jun Long Xuhui Liu Allocation Optimization Strategy for High-Precision Control of Picosatellites and Nanosatellites International Journal of Aerospace Engineering |
| title | Allocation Optimization Strategy for High-Precision Control of Picosatellites and Nanosatellites |
| title_full | Allocation Optimization Strategy for High-Precision Control of Picosatellites and Nanosatellites |
| title_fullStr | Allocation Optimization Strategy for High-Precision Control of Picosatellites and Nanosatellites |
| title_full_unstemmed | Allocation Optimization Strategy for High-Precision Control of Picosatellites and Nanosatellites |
| title_short | Allocation Optimization Strategy for High-Precision Control of Picosatellites and Nanosatellites |
| title_sort | allocation optimization strategy for high precision control of picosatellites and nanosatellites |
| url | http://dx.doi.org/10.1155/2018/6239725 |
| work_keys_str_mv | AT boyang allocationoptimizationstrategyforhighprecisioncontrolofpicosatellitesandnanosatellites AT junmiao allocationoptimizationstrategyforhighprecisioncontrolofpicosatellitesandnanosatellites AT zichenfan allocationoptimizationstrategyforhighprecisioncontrolofpicosatellitesandnanosatellites AT junlong allocationoptimizationstrategyforhighprecisioncontrolofpicosatellitesandnanosatellites AT xuhuiliu allocationoptimizationstrategyforhighprecisioncontrolofpicosatellitesandnanosatellites |