The problem of designing and flying a trajectory for successful recovery of a reusable launch vehicle is tackled using fuzzy logic control with genetic algorithm optimization. The plant is approximated by a simplified three degree of freedom non-linear model. A baseline trajectory design and guidance algorithm consisting of several Mamdani type fuzzy controllers is tuned using a simple genetic algorithm. Preliminary results show that the performance of the overall system is shown to improve with genetic algorithm tuning.
Genetic Algorithm Tuned Fuzzy Logic for Gliding Return Trajectories
01.01.2003
Sonstige
Keine Angabe
Englisch
Genetic Algorithm Tuned Fuzzy Logic for Gliding Return Trajecotries
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