The problem of real time metal analysis estimation for the basic oxygen steelmaking process is considered. Nonlinear feedback is applied to a nonlinear process model, thus creating a non linear observer. It is compared to linear feedback on the same process model and is shown to have superior performance. Using real plant data from the converter at SSAB Oxelösund AB, the observer is shown to provide accurate estimates of the carbon content.