Fault-Tolerant Guidance of Rocket Vertical Landing Phase Based on MPC Framework

For the vertical landing process of reusable rockets, the landing accuracy is likely to be affected by disturbances and faults during flight. In this paper, a fault-tolerant guidance method based on the MPC framework is put forward. First, we propose a piecewise guidance algorithm that combines a tr...

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Veröffentlicht in:International Journal of Aerospace Engineering Jg. 2022; S. 1 - 11
Hauptverfasser: Li, Jingqi, Long, Yaosong, Su, Mao, Liu, Lei, Wang, Bo, Cheng, Zhongtao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Hindawi 12.08.2022
John Wiley & Sons, Inc
Wiley
Schlagworte:
Accuracy
Aerospace engineering
Algorithms
Atmospheric density
Closed loops
Computational geometry
Control systems
Convex analysis
Convexity
Design
Deviation
Disturbances
Drag coefficients
Electronics in navigation
Experiments
Fault tolerance
Mathematical optimization
Methods
Navigation systems
Optimization algorithms
Reusable rocket engines
Robustness
Rockets
Spacecraft guidance
System failures
Trajectory optimization
Velocity
Vertical landing
ISSN:1687-5966, 1687-5974
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Zusammenfassung:For the vertical landing process of reusable rockets, the landing accuracy is likely to be affected by disturbances and faults during flight. In this paper, a fault-tolerant guidance method based on the MPC framework is put forward. First, we propose a piecewise guidance algorithm that combines a trajectory optimization algorithm based on convex optimization with the MPC framework. With the fast trajectory optimization algorithm and the MPC framework that recursively introduces the real-time state, this algorithm forms a robust closed loop. Then, we design an integrated guidance, navigation, and control (GNC) system to enhance the fault tolerance and robustness of the guidance method. Simulation experiments verify that this method is fault-tolerant to various fault conditions including navigation system failures, control system failures, drag coefficient deviations, and atmospheric density deviations. This guidance method is robust enough to overcome disturbances and faults, and it has great potential for online use.
Bibliographie:ObjectType-Article-1
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ISSN:1687-5966
1687-5974
DOI:10.1155/2022/9104823