In　order　to　improve　the　accuracy　and　adaptive　ability　of　dissolved　oxygen　concentration　control　in　the　wastewater　treatment　process　(WWTP),　a　self-organizing　fuzzy　control　(SOFC)　method　is　developed　in　this　paper.　The　main　feature　of　this　control　system　is　that　the　fuzzy　controller　can　extract　fuzzy　rules　automatically　using　a　self-organizing　fuzzy　neural　network　(FNN),　which　can　adjust　the　network　structure　during　the　process　based　on　the　growing-pruning-combining　algorithm.　Furthermore,　to　ensure　the　convergence　of　the　system,　a　compensation　controller　is　designed　to　dispel　the　FNN　approximation　error,　and　the　parameter　compensation　is　also　considered　while　adjusting　the　network　structure.　Finally,　simulation　results,　based　on　the　international　benchmark　simulation　model　No.　1　(BSM1),　demonstrate　that　the　proposed　method　can　achieve　better　control　performance　and　superior　adaptive　ability　compared　with　PID,　model　predictive　control　and　conventional　fuzzy　logic　controller.