Abstract: In using infrared heating cage to simulate external heat flux on spacecraft, a fine control of heat flux or temperature requires an accurate identification of the temperature model. This paper compares three commonly used system identification methods applied to test data derived from two separate thermal vacuum tests and a multi-loop measurement. It is shown that the approximate maximum likelihood estimation is the best with its strong adaptability to various noise environments. The parameters identified by this method are stable and convergent.