Digital　current　control　techniques　are　an　attractive　option　for　DC-DC　converters.　In　this　paper,　a　digital　predictive　peak　current　control　algorithm　is　presented　for　buck　converters　that　allows　the　inductor　current　to　track　the　reference　current　in　two　switching　cycles.　This　control　algorithm　predicts　the　inductor　current　in　a　future　period　by　sampling　the　input　voltage,　output　voltage　and　inductor　current　of　the　current　period,　which　overcomes　the　problem　of　hardware　periodic　delay.　Under　the　premise　of　ensuring　the　stability　of　the　system,　the　response　speed　is　greatly　improved.　A　real-time　parameter　identification　method　is　also　proposed　to　obtain　the　precision　coefficient　of　the　control　algorithm　when　the　inductance　is　changed.　The　combination　of　the　two　algorithms　achieves　adaptive　tracking　of　the　peak　inductor　current.　The　performance　of　the　proposed　algorithms　is　verified　using　simulations　and　experimental　results.　In　addition,　its　performance　is　compared　with　that　of　a　conventional　proportional-integral　(PI)　algorithm.