Disturbance observer based model predictive control for accurate atmospheric entry of spacecraft |
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| Authors: | Chao Wu Jun Yang Shihua Li Qi Li Lei Guo |
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| Institution: | 1. School of Automation, Southeast University, Key Laboratory of Measurement and Control of CSE, Ministry of Education, Nanjing 210096, PR China;2. School of Automation Science and Electrical Engineering, Beihang University, Institute of Instrument Science and Opto-Electronics Engineering, Beijing 100191, PR China |
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| Abstract: | Facing the complex aerodynamic environment of Mars atmosphere, a composite atmospheric entry trajectory tracking strategy is investigated in this paper. External disturbances, initial states uncertainties and aerodynamic parameters uncertainties are the main problems. The composite strategy is designed to solve these problems and improve the accuracy of Mars atmospheric entry. This strategy includes a model predictive control for optimized trajectory tracking performance, as well as a disturbance observer based feedforward compensation for external disturbances and uncertainties attenuation. 500-run Monte Carlo simulations show that the proposed composite control scheme achieves more precise Mars atmospheric entry (3.8?km parachute deployment point distribution error) than the baseline control scheme (8.4?km) and integral control scheme (5.8?km). |
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| Keywords: | Mars atmospheric entry Trajectory tracking Model predictive control Disturbance observer Monte Carlo simulation |
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