In　this　paper,　for　the　conversion　rate　of　the　flue　gas　acid-making,　a　predictive　control　strategy　for　the　inlet　temperature　of　the　converter　is　studied.　First,　a　nonlinear　Wiener　model　is　established　for　process　control,　which　can　well　characterize　the　non-linear　change　of　process　temperature.　Second,　a　model　predictive　control　method　based　on　the　Wiener　inverse　model　is　proposed.　The　process　theory　is　used　to　realize　the　effective　control　of　the　inlet　temperature　of　the　converter,　thereby　ensuring　the　conversion　rate　of　the　sulphuric　acid　process.　Finally,　the　Wiener　model　predictive　control　(WMPC)　is　evaluated　experimentally　and　compared　with　proportional　integral　derivative　(PID)　strategy.　The　simulation　results　show　that　the　WMPC　outperforms　the　PID　controller.　©　2022　IEEE.