A new parallel robotic architecture has previously been developed for an active space telescope. The telescope needs to be calibrated in order to improve its optical quality. This also has to be done automatically in space with the available information (propriocetive measures, images, etc) which is referred as self-calibration. First, the necessary hypothesis for calibration are analyzed. This theoretical study, illustrated with examples, leads to the definition of the necessary conditions for an efficient calibration. With those conditions, the required accuracy of the model parameters and the maximal measurement noise allowed for calibration can be calculated. A physically meaningful stop criterion for the identification algorithm can also be derived and a normalization of the identification Jacobian matrix is proposed, which permits the analysis of its singular values in order to detect identifiability problems. Concerning the telescope modeling, three kinematic models taking into account the telescope flexure joint behaviors are proposed, for example using the beam theory or the static equilibrium of the mobile platform. Those models are compared through an analysis of the calibration results using photogrammetry. This analysis highlights a deformation of the mobile platform of the telescope, that was considered using two models. Thus, the kinematic model of the telescope is composed of both a model for the flexure joints and a model approaching the mobile platform deformation. This model was validated with the calibration results of photogrammetry.
