Abstract: Consideringtheprobeactuatorfailures，parametricuncertaintiesandexternaldisturbances，anadaptiveiterativelearningbasedfaulttolerantcontrolmethodwasdesignedforasteroidorbiting.Thecontrollerwasdividedintotwoparts：robustiterativelearningcomponentandneuralnetworkiterativelearningcomponent.Fortherobustiterativelearningcomponent，asliding-mode-likestrategywithadaptiveiterativelearninglawwasappliedtomaintainthestabilityandimprovetheattitudetrackingaccuracyincaseofactuatorfailures.Fortheneuralnetworkiterativelearningcomponent，aradialbasisfunction(RBF)neuralnetworkbasedadaptiveapproximationwasintroducedtoestimatethesystemuncertainty，withparametersadaptedonlinetomaintaindynamicperformance.Inaddition,numericalsimulationsshowthatthemethodachievedtheerrorintheorderof10^-2magnitudeundertheactuatorfailureconditions,highlightstherobustandhighprecisionattitudetrackingperformance.

Key words: asteroidprobe, faulttolerantcontrol, adaptiveiterativelearning, neuralnetwork, actuatorfailures