This　paper　proposes　an　improved　predictive　control　strategy　to　regulate　the　speed　for　permanent　magnet　synchronous　motor.　Specifically,　the　motor　model　is　discretized　by　Taylor　series　to　obtain　the　expected　voltage　vector,　and　the　new　cost　function　is　reconstructed　with　only　voltage　variables,　which　avoids　weight-adjustment.　The　angle　of　expected　voltage　vector　is　obtained　by　Clark　transformation　to　select　the　sector,　whose　voltage　vectors　are　the　candidate　voltage　vectors　to　reduce　calculations.　Finally,　the　optimal　voltage　vector　is　determined　to　switch　the　inverter　by　the　minimum　of　the　cost　function　among　the　candidate　voltage　vectors.　Superior　control　performance　is　verified　in　experiments　compared　to　conventional　predictive　speed　control.