Compensation for Unbalances with Aid of Neural Networks

The aim of this paper is to provide an extended method to compensate remaining unbalances at magnetic bearings. The compensation signal will still be generated by a MLP-network. Only now, the network needs very few training data, other values will be learned during operation with the aid of a quality criterion.