Due　to　the　uncertainties,　constraints,　nonlinearity　and　the　correlation　among　variables　in　the　control　of　hydropower　industry,　it　is　difficult　to　obtain　the　accurate　mathematical　model.　In　this　paper,　a　generalized　predictive　identification　algorithm　based　on　the　nonlinear　system　in　the　control　field　of　hydropower　industry　is　presented,　and　a　model　of　the　generalized　predictive　identification　algorithm　based　on　the　nonlinear　system　in　the　control　field　of　hydropower　industry　is　established　AB　simulation.　The　simulation　results　show　that　the　algorithm　is　robust,　can　effectively　overcome　the　system　delay,　and　can　be　applied　to　the　open-loop　unstable　non　minimum　phase　system.　It　has　strong　applicability　in　the　field　of　electric　industry　control　and　can　produce　good　economic　benefits.　©　Published　under　licence　by　IOP　Publishing　Ltd.