The extension of a genetic algorithm to reconfigure (adapt) the feedforward controller and the model of the model following control system of a contemporary fly-by-wire aircraft was presented. The algorithm has successfully adapted the feedforward controller of DLR's in-flight simulator ATTAS (Advanced Technologies Testing Aircraft System) after a 50 % elevator effectiveness reduction. New strategies, like the division of the population of the genetic algorithm into subpopulations with different characteristics, have significantly improved the efficiency of the algorithm. Right now the algorithm is prepared for a parallel occam-implementation on the onboard transputer network and a flight test two months later. This concurrent implementation will overcome the relatively slow performance of the plain genetic algorithm and make it a robust and fast reconfiguration tool.
Genetic algorithms for reconfiguration
Evolutionsstrategie zur Rekonfiguration eines Flugreglers
Zeitschrift für Flugwissenschaften und Weltraumforschung ; 20 , 3 ; 129-136
1996
8 Seiten, 10 Bilder, 1 Tabelle, 14 Quellen
Article (Journal)
English
Flugregelung , Flugsimulation , Algorithmus , Fehlererkennung , Rekombination , Systemoptimierung , Adaptivregelung , Rückkopplung , Fehleranalyse , Redundanz , Expertensystem , dynamische Stabilität , Manövrierfähigkeit , Blockschaltbild , Implementierung , Wahrscheinlichkeit , Konvergenz , Simulator , Differenzialgleichung , genetischer Algorithmus
Genetic algorithms for reconfiguration.
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