Hybrid force control of astronaut rehabilitative training robot under active loading mode

Abstract

In order to mitigate the effects of space adaptation syndrome (SAS) and improve the training efficiency of the astronauts, a novel astronaut rehabilitative training robot (ART) was proposed. ART can help the astronauts to carry out the bench press training in the microgravity environment. Firstly, a dynamic model of cable driven unit (CDU) was established whose accuracy was verified through the model identification. Secondly, to improve the accuracy and the speed of the active loading, an active loading hybrid force controller was proposed on the basis of the dynamic model of the CDU. Finally, the actual effect of the hybrid force controller was tested by simulations and experiments. The results suggest that the hybrid force controller can significantly improve the precision and the dynamic performance of the active loading with the maximum phase lag of the active loading being 9° and the maximum amplitude error being 2% at the frequency range of 10 Hz. The controller can meet the design requirements.

Keywords

space adaptation syndrome / astronaut rehabilitative training robot / model identification / hybrid force control

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