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ZHAO Zhenhua, YANG Jun, LI Shihua, GUO Lei. Drag-Based Nonlinear Predictive Guidance Law for Mars EntryJ. Journal of Deep Space Exploration, 2015, 2(2): 137-143. DOI: 10.15982/j.issn.2095-7777.2015.02.006
Citation: ZHAO Zhenhua, YANG Jun, LI Shihua, GUO Lei. Drag-Based Nonlinear Predictive Guidance Law for Mars EntryJ. Journal of Deep Space Exploration, 2015, 2(2): 137-143. DOI: 10.15982/j.issn.2095-7777.2015.02.006

Drag-Based Nonlinear Predictive Guidance Law for Mars Entry

  • Aiming at precision landing of Mars entry for Mars exploration mission, this paper proposes a novel drag-based nonlinear predictive guidance law. Taking into account the aerodynamical parameters perturbation of Mars vehicle, the air density parameter perturbation of Mars, external disturbance and initial states errors, a nonlinear predictive guidance law based on optimization theory is designed for the three-dimensional Mars entry model. The simulation results indicate that under the proposed guidance law, the Mars vehicle achieves a precision landing with the control constraint being satisfied.
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