An　optimal　finite　state　predictive　direct　torque　control　without　flux　and　switching　frequency　weighting　factors　(WFs)　is　proposed　to　avoid　the　tuning　of　WFs　and　to　provide　high　dynamic　performances　with　reduced　switching　frequency　and　computational　burden.　The　proposed　method　is　a　combination　of　the　well-known　direct　torque　control　and　multi-objective　ranking　(MOR)　priority　methods.　The　classical　MOR,　used　to　avoid　the　flux　WF,　increases　the　computation　time　compared　to　the　standard　predictive　torque　control　(PTC)　and　does　not　consider　switching　frequency　issues.　These　drawbacks　impose　the　need　for　high　sampling　rates,　which　increase　the　implementation　cost　and　the　inverter　power　losses,　an　important　issue　for　medium　and　high-power　drives.　In　the　proposed　method,　the　direct　torque　control　principle　is　used　to　reduce　the　number　of　voltage　vectors　from　eight　to　three,　which　reduces　the　computational　burden　of　MOR.　Also,　MOR　is　associated　with　a　proposed　priority　scheme　to　reduce　the　switching　frequency　and　avoid　WFs.　Simulation　and　experimental　results　confirm　that　similar　steady-state　response　as　in　the　traditional　PTC　based　on　MOR　is　obtained.　However,　fast　transient　response　is　achieved,　the　computational　burden　is　reduced　by　about　25%,　and　the　switching　frequency　is　substantially　reduced　compared　to　classical　PTC.　©　The　Institution　of　Engineering　and　Technology　2019.