Among　various　renewable　energy　technologies,　wind　power　is　one　of　the　most　popular　one　due　to　its　multiple　benefits.　Wind　power　is　produced　by　wind　generators,　permanent　magnet　synchronous　generator　(PMSG)-based　wind　generator　is　popular　for　its　advantages　such　as　gear-less,　high　efficiency,　and　low　cost.　However,　because　of　the　stochastic　nature　of　wind,　the　effective　control　of　PMSG-based　wind　generator　is　a　challenging　task.　In　order　to　address　this　issue,　in　this　paper　we　propose　an　optimal　control　method　for　control　of　PMSG-based　wind　generator.　In　this　method,　model　predictive　control　(MPC)　approach　is　utilized,　which　enable　the　optimal　control　of　control　of　PMSG-based　wind　generator.　In　addition,　considering　the　highly　uncertainty　in　wind　speed,　we　introduce　the　concept　of　soft-target　control,　which　makes　the　proposed　control　method　more　practical.　Simulation　results　validate　the　performance　of　the　proposed　control　method.　©　2019　IEEE.