Journal of Astronautics ›› 2019, Vol. 40 ›› Issue (6): 694-702.doi: 10.3873/j.issn.1000-1328.2019.06.010

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Sliding Mode Control in Reentry Phase for a Reusable Launch Vehicle Driven by a Self Learning Disturbance Observer

CHEN Jia ye, MU Rong jun, BAI Yu liang, ZHANG Xin, CUI Nai gang   

  1. Department of Aerospace Engineering, Harbin Institute of Technology, Harbin 150001, China
  • Received:2018-07-09 Revised:2018-09-14 Online:2019-06-15 Published:2019-06-25


 A sliding mode controller based on self-learning disturbance observer (SLDO) is designed for a reusable launch vehicle (RLV). According to the singular perturbation theory, a RLV dynamic model is divided into the outer-loop and inner-loop subsystems. Since the model uncertainties and the disturbances vary with time and have unknown boundaries, combining with the type-2 neuro-fuzzy structure, feedback-error learning scheme and sliding mode control (SMC) theory, a novel online SLDO is presented. The multivariable supertwisting sliding mode controller driven by a SLDO is designed to track the re-entry trajectory precisely and convergent rapidly. Finally, by the simulation and analysis of the 6-degree-of-freedom model of RLV in the reentry phase, the effectiveness and the robustness of the integrated control scheme are verified.

Key words:  Reusable launch vehicle (RLV), Self-learning disturbance observer (SLDO), Sliding mode control (SMC), Reentry attitude track

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