A variety of motion control applications frequently require the implementation of sensor-less force sensing function to perform the controlled tasks properly. Therefore, the enhancement in performance of sensor-less force sensation has attracted a lot of research developments. This paper aims at presenting high performance force-sensor-less observer approaches based on singular spectrum analysis to be applied in motion control. The singular spectrum analysis is an efficient process of spectral estimation to decompose a signal into separate components. The force-sensor-less observers based on singular spectrum analysis have the advantages of effective noise suppression, more accurate force estimation and wideband force sensing. Two approaches with remarkable enhancement in force sensing performance are presented in this paper to clarify the effectiveness of the singular spectrum analysis based force observers in motion control.