Trajectory Tracking Based on Active Disturbance Rejection Control for Compound Unmanned Aircraft
The compound unmanned aircraft is provided with three primary flight modes, which are helicopter flight mode in low forward speed flight, airplane flight mode in high forward speed flight and transition flight mode in middle forward speed flight. For the different flight modes, an appropriate flight...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-06-01
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| Series: | Aerospace |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2226-4310/9/6/313 |
| _version_ | 1827663414228418560 |
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| author | Bohai Deng Jinfa Xu |
| author_facet | Bohai Deng Jinfa Xu |
| author_sort | Bohai Deng |
| collection | DOAJ |
| description | The compound unmanned aircraft is provided with three primary flight modes, which are helicopter flight mode in low forward speed flight, airplane flight mode in high forward speed flight and transition flight mode in middle forward speed flight. For the different flight modes, an appropriate flight control law is the need to ensure good flying qualities. In this paper, a trajectory tracking control system based on the active disturbance rejection controller (ADRC) for the compound unmanned aircraft is proposed to adapt the full flight modes. A flight dynamics model and a Simulink simulation model of the compound unmanned aircraft are developed. The transition flight control strategy is analyzed and synthesized to meet the requirement of control strategy in the full flight modes. The internal uncertainties and external disturbance of the UAV are estimated with an extended state observer to compensate control input. A genetic algorithm-particle swarm optimization (GA-PSO) algorithm is utilized to optimize the controller parameters. The simulation of route tracking and spiral climb with different flight modes is conducted, which demonstrates the tracking ability, interference rejection, robustness and effectiveness of the developed controller in the full flight modes. |
| first_indexed | 2024-03-10T00:42:15Z |
| format | Article |
| id | doaj.art-ae9f5bae41e34063b5a37a0fc9f64b43 |
| institution | Directory Open Access Journal |
| issn | 2226-4310 |
| language | English |
| last_indexed | 2024-03-10T00:42:15Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj.art-ae9f5bae41e34063b5a37a0fc9f64b432023-11-23T15:05:36ZengMDPI AGAerospace2226-43102022-06-019631310.3390/aerospace9060313Trajectory Tracking Based on Active Disturbance Rejection Control for Compound Unmanned AircraftBohai Deng0Jinfa Xu1National Key Laboratory of Rotorcraft Aeromechanics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaNational Key Laboratory of Rotorcraft Aeromechanics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaThe compound unmanned aircraft is provided with three primary flight modes, which are helicopter flight mode in low forward speed flight, airplane flight mode in high forward speed flight and transition flight mode in middle forward speed flight. For the different flight modes, an appropriate flight control law is the need to ensure good flying qualities. In this paper, a trajectory tracking control system based on the active disturbance rejection controller (ADRC) for the compound unmanned aircraft is proposed to adapt the full flight modes. A flight dynamics model and a Simulink simulation model of the compound unmanned aircraft are developed. The transition flight control strategy is analyzed and synthesized to meet the requirement of control strategy in the full flight modes. The internal uncertainties and external disturbance of the UAV are estimated with an extended state observer to compensate control input. A genetic algorithm-particle swarm optimization (GA-PSO) algorithm is utilized to optimize the controller parameters. The simulation of route tracking and spiral climb with different flight modes is conducted, which demonstrates the tracking ability, interference rejection, robustness and effectiveness of the developed controller in the full flight modes.https://www.mdpi.com/2226-4310/9/6/313compound unmanned aircrafttrajectory tracking controlactive disturbance rejection controlparameter tuning algorithminterference rejectionrobustness |
| spellingShingle | Bohai Deng Jinfa Xu Trajectory Tracking Based on Active Disturbance Rejection Control for Compound Unmanned Aircraft Aerospace compound unmanned aircraft trajectory tracking control active disturbance rejection control parameter tuning algorithm interference rejection robustness |
| title | Trajectory Tracking Based on Active Disturbance Rejection Control for Compound Unmanned Aircraft |
| title_full | Trajectory Tracking Based on Active Disturbance Rejection Control for Compound Unmanned Aircraft |
| title_fullStr | Trajectory Tracking Based on Active Disturbance Rejection Control for Compound Unmanned Aircraft |
| title_full_unstemmed | Trajectory Tracking Based on Active Disturbance Rejection Control for Compound Unmanned Aircraft |
| title_short | Trajectory Tracking Based on Active Disturbance Rejection Control for Compound Unmanned Aircraft |
| title_sort | trajectory tracking based on active disturbance rejection control for compound unmanned aircraft |
| topic | compound unmanned aircraft trajectory tracking control active disturbance rejection control parameter tuning algorithm interference rejection robustness |
| url | https://www.mdpi.com/2226-4310/9/6/313 |
| work_keys_str_mv | AT bohaideng trajectorytrackingbasedonactivedisturbancerejectioncontrolforcompoundunmannedaircraft AT jinfaxu trajectorytrackingbasedonactivedisturbancerejectioncontrolforcompoundunmannedaircraft |