Date of Award
Santa Clara : Santa Clara University, 2016.
Master of Science (MS)
Mohammad A. Ayoubi
In this thesis, we present a control algorithm for a hypersonic re-entry vehicle during a Martian aerocapture maneuver. The proposed algorithm utilizes a discrete-time model predictive control technique with a Takagi-Sugeno fuzzy model of the vehicle to control the re-entry vehicle along an arbitrary trajectory using bank angle modulation. Simulations using model parameters and initial conditions from a Martian aerocapture mission demonstrate the stability, performance, and robustness of the proposed controller.
Margolis, Ben, "Takagi-Sugeno Fuzzy Model Based Discrete Time Model Predictive Control for a Hypersonic Re-Entry Vehicle" (2016). Applied Mathematics Master's Theses. 2.