With　adoption　of　the　sliding　mode,　the　super　twisting　algorithm　(STA)　based　sliding-mode　differentiator　proposed　by　Levant　provides　good　filtering　ability　and　robustness　to　specific　noises　interference.　A　flexible　and　effective　parameter　tuning　algorithm　for　this　differentiator　is　proposed　in　this　work.　In　particular,　the　principle　of　the　time　linear　transformation　and　the　coordination　transformation　is　adopted　to　execute　the　normalization　processing　for　any　given　inputs,　and　meanwhile　the　key　parameters　can　be　determined　directly　according　to　the　frequency　and　amplitude　of　the　signals.　The　characteristics　of　the　differentiator　based　on　the　proposed　parameter　tuning　algorithm　are　shown　from　both　the　frequency　and　the　time　domains’　analysis.　The　simulation　results　show　that　the　proposed　algorithm　can　conveniently　and　effectively　provide　a　set　of　parameters　for　the　differentiator　to　fulfil　the　accuracy　and　robustness.　Further,　the　differentiator　via　the　proposed　parameter　tuning　algorithm　is　applied　to　the　flight　environment　simulation　control　system　and　the　experimental　results　verify　the　effectiveness　of　the　proposed　algorithm　and　show　its　potential　engineering　application　value.　©　2023　South　China　University　of　Technology.　All　rights　reserved.