A New Multi-disciplinary Robust Optimization Method for Micro Re-entering Lifting-Body Design

In this paper, an analytical aerodynamic model based on waverider-type space vehicle is introduced for designing micro re-entering lifting body. To design the lifting body and trajectory, a multi-disciplinary optimization strategy including the drag caused by the viscous effect of boundary layer behind shockwave during the process, and temperature distribution of TPS (Thermal Protection System) is used to optimize the control law and minimize the peak of heat flux. Also a multi-collocation pseudo-spectral method collocating different type of Gauss nodes together is developed in this paper to optimize the NLP problem of trajectory, which makes the optimization process more accurate and robust. Taking into account the uncertainty caused by the aero-parameters when calculating lift and drag, the strategy makes the maximum heat flux, maximum internal temperatures as performance indices while minimizing the effects of uncertainties. Simulation results show the achievable performance of such a micro vehicle and obtain a set of Pareto optimization results.