Distributed　electric　propulsion　(DEP)　aircraft　allows　additional　control　authority　over　the　yaw　moment　made　possible　by　active　differential　thrust.　This　gives　rise　to　the　concept　of　powered　yaw　control.　A　critical　issue　when　considering　powered　yaw　control　is　to　optimally　dispatch　thrust　among　multiple　electric　propulsors.　To　address　this　issue,　this　article　proposes　a　hierarchical　model　predictive　control　(MPC)　scheme　for　the　powered　yaw　control　of　DEP　aircraft.　This　scheme　has　a　two-layer　structure.　Based　on　the　linearized　flight　dynamics　model　and　approximate　electric　propulsor　dynamics,　an　upper　layer　MPC　controller　computes　the　optimal　thrust　command　for　each　electric　propulsor.　The　dispatched　thrust　commands　are　then　sent　to　the　lower　layer　electric　propulsor　MPC　controllers　for　execution.　The　salient　feature　of　this　scheme　is　that,　by　incorporating　the　electric　propulsor　dynamics　into　the　DEP　aircraft　flight　dynamic　model,　it　achieves　the　objective　of　dynamically　optimal　powered　yaw　control.　Furthermore,　by　using　approximate　electric　propulsor　dynamics　in　the　upper　layer　and　accurate　electric　propulsor　dynamics　in　the　lower　layer,　it　leads　to　a　satisfied　balance　between　control　performance　and　computational　complexity.　Simulation　results　demonstrate　the　effectiveness　of　the　proposed　scheme.