Date of Award
Santa Clara : Santa Clara University, 2017.
Master of Science (MS)
This thesis explores four controllers applied to the attitude control of a solar sail craft with control masses with the goal of showing benefits over more standard control schemes. The controllers examined in this paper are: 1) a PID controller that incorporates a discrete extremum seeking algorithm, 2) a type-1 fuzzy logic controller that incorporates a discrete extremum seeking algorithm, 3) a type-1 fuzzy logic controller, and 4) a type-2 fuzzy logic controller. The first two controllers are examined for their ability to quickly converge to a set of optimal gains over time. The latter two controllers are evaluated for their ability to maintain stability with respect to model uncertainty and sensor noise. The four controllers discussed in this paper are compared against other control techniques that have already been shown in previously published literature to provide good control performance when applied to this system.
Kalnin, Nikolai, "Hybrid Fuzzy Logic and Extremum Seeking Attitude Control of Solar Sail Spacecraft" (2017). Mechanical Engineering Master's Theses. 12.