A Multiobjective Incremental Control Allocation Strategy for Tailless Aircraft
To address the control allocation problem caused by the redundant arrangement of control surfaces with nonlinear effectiveness for tailless aircraft, a novel multiobjective incremental control allocation (MICA) strategy is proposed. Firstly, the incremental nonlinear control allocation (INCA) method...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/6515234 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850226597668323328 |
|---|---|
| author | Maoyu Su Jianbo Hu Yingyang Wang Zihou He Jiping Cong Linxiao Han |
| author_facet | Maoyu Su Jianbo Hu Yingyang Wang Zihou He Jiping Cong Linxiao Han |
| author_sort | Maoyu Su |
| collection | DOAJ |
| description | To address the control allocation problem caused by the redundant arrangement of control surfaces with nonlinear effectiveness for tailless aircraft, a novel multiobjective incremental control allocation (MICA) strategy is proposed. Firstly, the incremental nonlinear control allocation (INCA) method together with the active set quadratic programming algorithm is adopted to precisely allocate the virtual control commands. Secondly, a series of normalized objective functions in the form of increment are designed. Combining these functions by means of linear weighted sum, an incremental multiobjective function is constructed. Then, an improved nondominated sorting genetic algorithm (INSGA) is introduced to offline determine a set of weights that best meets the requirements of each flight phase. In this way, the dependence on subjective experience is minimized based on the theory of Pareto optimal. Meanwhile, the huge computational burden that the intelligent optimization algorithm brings can also be avoided. Finally, combined with the nonlinear dynamic inversion (NDI) control method, a closed-loop validation for the effectiveness of this control allocation strategy is carried out on the tailless aircraft model. |
| format | Article |
| id | doaj-art-5032b74809084e02bfd2986c57a20d70 |
| institution | OA Journals |
| issn | 1687-5974 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-5032b74809084e02bfd2986c57a20d702025-08-20T02:05:02ZengWileyInternational Journal of Aerospace Engineering1687-59742022-01-01202210.1155/2022/6515234A Multiobjective Incremental Control Allocation Strategy for Tailless AircraftMaoyu Su0Jianbo Hu1Yingyang Wang2Zihou He3Jiping Cong4Linxiao Han5Equipment Management and UAV Engineering SchoolEquipment Management and UAV Engineering SchoolEquipment Management and UAV Engineering SchoolEquipment Management and UAV Engineering SchoolEquipment Management and UAV Engineering SchoolEquipment Management and UAV Engineering SchoolTo address the control allocation problem caused by the redundant arrangement of control surfaces with nonlinear effectiveness for tailless aircraft, a novel multiobjective incremental control allocation (MICA) strategy is proposed. Firstly, the incremental nonlinear control allocation (INCA) method together with the active set quadratic programming algorithm is adopted to precisely allocate the virtual control commands. Secondly, a series of normalized objective functions in the form of increment are designed. Combining these functions by means of linear weighted sum, an incremental multiobjective function is constructed. Then, an improved nondominated sorting genetic algorithm (INSGA) is introduced to offline determine a set of weights that best meets the requirements of each flight phase. In this way, the dependence on subjective experience is minimized based on the theory of Pareto optimal. Meanwhile, the huge computational burden that the intelligent optimization algorithm brings can also be avoided. Finally, combined with the nonlinear dynamic inversion (NDI) control method, a closed-loop validation for the effectiveness of this control allocation strategy is carried out on the tailless aircraft model.http://dx.doi.org/10.1155/2022/6515234 |
| spellingShingle | Maoyu Su Jianbo Hu Yingyang Wang Zihou He Jiping Cong Linxiao Han A Multiobjective Incremental Control Allocation Strategy for Tailless Aircraft International Journal of Aerospace Engineering |
| title | A Multiobjective Incremental Control Allocation Strategy for Tailless Aircraft |
| title_full | A Multiobjective Incremental Control Allocation Strategy for Tailless Aircraft |
| title_fullStr | A Multiobjective Incremental Control Allocation Strategy for Tailless Aircraft |
| title_full_unstemmed | A Multiobjective Incremental Control Allocation Strategy for Tailless Aircraft |
| title_short | A Multiobjective Incremental Control Allocation Strategy for Tailless Aircraft |
| title_sort | multiobjective incremental control allocation strategy for tailless aircraft |
| url | http://dx.doi.org/10.1155/2022/6515234 |
| work_keys_str_mv | AT maoyusu amultiobjectiveincrementalcontrolallocationstrategyfortaillessaircraft AT jianbohu amultiobjectiveincrementalcontrolallocationstrategyfortaillessaircraft AT yingyangwang amultiobjectiveincrementalcontrolallocationstrategyfortaillessaircraft AT zihouhe amultiobjectiveincrementalcontrolallocationstrategyfortaillessaircraft AT jipingcong amultiobjectiveincrementalcontrolallocationstrategyfortaillessaircraft AT linxiaohan amultiobjectiveincrementalcontrolallocationstrategyfortaillessaircraft AT maoyusu multiobjectiveincrementalcontrolallocationstrategyfortaillessaircraft AT jianbohu multiobjectiveincrementalcontrolallocationstrategyfortaillessaircraft AT yingyangwang multiobjectiveincrementalcontrolallocationstrategyfortaillessaircraft AT zihouhe multiobjectiveincrementalcontrolallocationstrategyfortaillessaircraft AT jipingcong multiobjectiveincrementalcontrolallocationstrategyfortaillessaircraft AT linxiaohan multiobjectiveincrementalcontrolallocationstrategyfortaillessaircraft |