In　order　to　solve　the　problems　of　excessive　energy　consumption　and　excessive　effluent　quality　in　wastewater　treatment　process　control,　an　intelligent　control　system　based　on　adaptive　immune　optimization　(AIOIC)　is　proposed.　A　hierarchical　control　strategy　is　designed,　and　a　fast　online　self-organizing　fuzzy　neural　network　based　on　singular　value　decomposition　(SVDFNN)　is　used　to　construct　the　mathematical　model　of　wastewater　treatment　energy　consumption　and　effluent　quality.　In　order　to　obtain　the　optimal　set　values　of　dissolved　oxygen　and　nitrate　nitrogen,　an　adaptive　hybrid　evolutionary　immune　optimization　algorithm　is　designed.　The　self-organizing　recursive　fuzzy　neural　network　controller　is　used　to　track　this　optimal　set　points　at　the　bottom　layer.　The　results　show　that　the　proposed　immune　optimization　intelligent　control　strategy　can　not　only　meet　the　effluent　quality　standard,　but　also　significantly　reduce　the　energy　consumption　of　wastewater　treatment　process.　©　2021,　The　Editorial　Board　of　Journal　of　System　Simulation.　All　right　reserved.