In　this　paper,　a　low-computational　burden　model　predictive　flux　control　(MPFC)　based　on　discrete　space　vector　modulation　(DSVM)　and　the　optimal　switching　sequence　(OSS)　is　proposed　for　achieving　switching　frequency　(SF)　and　computational　burden　efficiencies　in　motor　drives　fed　by　two-level　voltage　source　inverter.　The　DSVM　is　used　to　extend　the　prediction　candidates　of　MPFC　and　greatly　improve　the　performance　of　the　controller.　A　generalized　minimum　flux　error　method　independent　of　the　number　of　virtual　vectors　is　derived　to　cancel　the　exhaustive　optimization　method　and　lower　the　execution　time　of　the　proposed　algorithm.　In　addition,　new　over-modulation　and　OSS　schemes　are　designed　to　optimize　the　use　of　DC-link　voltage　and　mitigate　the　inverter　SF　when　implementing　the　optimal　control　action　into　switching　states.　The　comparative　experimental　results　show　that　without　significant　performance　degradation,　the　proposed　strategy　provided　about　50%　SF　and　25%　execution　time　reductions　compared　to　the　classic　MPFC　methods.　IEEE