Aiming　at　the　controlled　object　with　large　lag,　model　uncertainty　and　time　variation　due　to　the　effects　of　working　environment　in　printing　process,　and　printing　process　requires　few　adjustment　times,　this　paper　designs　a　T-S　fuzzy　controller　based　on　the　theoretical　model　of　printing　color　quality　control,　and　uses　the　genetic　algorithm　to　optimize　the　initial　control　rules　of　fuzzy　controller.　The　optimization　method　aims　at　the　problems　of　less　known　condition　and　the　uncertain　effects　due　to　the　environmental　changes　after　the　first　printing.　In　the　process　of　optimization,　the　theoretical　model　of　the　printing　color　quality　control　is　used　as　the　controlled　object,　and　the　parameters　of　control　rule　corresponding　to　the　points　of　special　error　are　optimized　one　by　one,　then　the　general　fuzzy　control　rules　can　be　got.　Finally,　an　example　illustrates　the　process　of　this　method,　and　the　robustness　of　the　optimized　fuzzy　controller　is　analyzed.　From　the　control　results　got　by　the　optimized　fuzzy　controller,　it　can　be　seen　that　this　method　improves　the　control　effects　greatly,　and　reduces　adjustment　times.　Finally,　this　paper　gives　some　suggestions　on　its　further　perfection.