The　conventional　PID　control　is　hard　to　implement　with　effectiveness　for　the　nonlinear　object　with　time　delay,　and　fuzzy　control　has　better　dynamic　characteristics,　so　the　parameter　self-tuning　fuzzy-PID　combined　controller　is　proposed　by　combining　the　advantages　of　conventional　PID　and　fuzzy　control.　The　parameter　self-tuning　realized　by　fuzzy　inference　can　make　the　controller　adapt　to　different　control　objects　and　various　states.　The　method　of　fuzzy　inference　realizes　smooth　transitions　of　the　controller　during　switching.　The　result　of　continuous　sterilization　temperature　control　in　a　pharmaceutical　factory　shows　that　this　controller　can　improve　control　accuracy　and　shorten　the　system　response　time,　avoid　occurrence　of　bacteria　contaminating　and　increase　fermentation　unit.