The　Conventional　model　predictive　control　(C-MPC)　uses　only　a　single　voltage　vector　in　each　control　period,　resulting　in　poor　control　performance.　In　addition,　the　computational　burden　in　discrete　space　state　generated　by　three-level　inverter　cannot　be　ignored.　To　improve　the　control　performance,　this　paper　proposes　a　variable　coefficient　virtual　vector　MPC　(VC-VV-MPC)　method,　a　five-level　virtual　space　voltage　vector　is　constructed　to　improve　the　control　performance,　and　a　scaling　coefficient　is　used　to　further　improve　the　control　performance.　In　addition,　a　voltage　vector　pre-selection　method　is　used　to　reduce　the　computational　burden.　The　simulation　and　experiment　results　shown　that,　compare　with　C-MPC　and　adjacent　vector　MPC　(AV-MPC),　the　proposed　VC-VV-MPC　can　achieve　the　improvement　of　control　performance　under　lower　computational　burden.　©　2020　IEEE.