Multi-objective　optimal　control　is　widely　applied　in　wastewater　treatment　processes　(WWTPs)　to　ensure　the　security　and　stability　of　the　operation　processes.　However,　for　the　existing　stepwise　multi-objective　optimal　control　(SMOC)　algorithms,　the　unknown　disturbances　will　further　influence　the　obtain　of　set-points　and　the　design　of　control　laws,　which　may　degrade　the　control　performance　and　operation　performance　of　WWTPs.　Aim　at　the　above-mentioned　problem,　this　study　presents　a　multi-objective　integrated　robust　optimal　control　(MIROC)　method　for　WWTPs.　The　merits　of　MIROC　are　three　folds.　First,　a　model　approximator　is　designed　to　capture　the　nonlinear　dynamics　of　WWTPs.　Second,　a　disturbance　observer　is　utilized　to　describe　the　disturbances　of　WWTPs.　Then,　based　on　the　model　approximator　and　disturbance　observer,　a　more　accurate　prediction　model　of　WWTPs　with　disturbances　is　established.　Third,　under　the　framework　of　multi-objective　model　predictive　control　(MMPC),　a　MIROC　structure　with　a　cooperative　cost　function　(CCF)　and　a　gradient-based　multi-objective　optimization　algorithm　(GMOA)　is　developed　to　coordinate　optimization　and　control　solution　of　WWTPs　with　unknown　disturbances.　Finally,　the　stability　analysis　of　MIROC　is　provided　in　theory.　Meanwhile,　the　results　on　the　benchmark　simulation　platform　demonstrate　that　MIROC　can　improve　the　performance　of　WWTPs.