Due　to　the　characteristics　of　large　lag　and　high　nonlinearity,　the　optimizing　operation　of　wastewater　treatment　process　(WWTP)　is　difficult　to　be　designed.　To　solve　this　problem,　a　control　optimization　system　based　on　hybrid　intelligent　technology　is　proposed　in　this　paper.　This　system　includes　a　feed-forward　compensator,　a　feedback　supervision　module,　a　pre-setting　module　and　a　soft-sensor　module.　To　obtain　the　minimum　energy　consumption　(EC)　under　effluent　standards,　the　set-points　of　the　dissolved　oxygen　concentration　and　nitrate　nitrogen　concentration　are　adjusted　through　feed-forward　compensation,　feedback　correction　and　online　estimation.　Finally,　the　proposed　approach　is　applied　on　the　WWTP　simulation　model.　Compared　to　the　proportional-integral-derivative　(PID)　and　data-driven　adaptive　optimal　controller　(DDAOC)　methods,　simulation　results　of　the　method　proposed　in　this　paper　show　better　performance.