Loading...

Re-entry Vehicle Control Algorithm Design Using Non-linear Dynamic Inversion

Manafi, Mahdi | 2016

685 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50718 (45)
  4. University: Sharif University of Technology
  5. Department: Aerospace Engineering
  6. Advisor(s): Fathi, Mohsen; Assadian, Nima
  7. Abstract:
  8. This thesis is about guiding and controlling the six-degrees of freedom of the reentry vehicle with focus on designing controller by using non-linear dynamic inversion method. Intended reentry vehicle is Apollo which is a reentry capsule without wing and with lifted body and also the proportion of lift to drag is low. Guiding variable instruction, the angle of rolling and constant, are the side slip and attack which reentry vehicle must follow these instructions with the help of controller and with regard to the rotational dynamic of the vehicle. In this thesis more exact six-degrees-freedom model of the vehicle is extracted and the controlling system to
    stabilize and to follow guidance instruction, by using non-linear dynamic inversion method is designed. In modeling, the earth is supposed elliptical and rotative and also J2 effect in gravitational model is applied. The designing of the guidance and control system is divided into two-eparated parts of guidance and control. Guidance loop ran from distance to target and give instructions to controlling system that cause the vehicle to move in a specified path. Dynamical and kinematic equations of rotational movement are separately inverted and two controlling loops are made. In continue, the effect of atmospheric turbulence, actuator dynamic, uncertainty in aerodynamic coefficient and inertia momentums and also mass are evaluated separately and together and the function of guidance and control systems to convey reentry vehicle to target are examined and the effect of every one of these on dispersion rate with the help of Monte Carlo method in a table is displayed
  9. Keywords:
  10. Atmospheric Turbulence ; Uncertainty ; Monte Carlo Method ; Reentry to Atmosphere ; Nonlinear Dynamic Inversion Control ; Apollo Guiding ; Six Degree of Freedom Modeling

 Digital Object List

 Bookmark