An improved predictive control strategy is proposed to regulate the
speed for permanent magnet synchronous motor. Firstly, the motor model
is discretized by Taylor series to obtain the expected voltage vector,
and a novel cost function is reconstructed with only voltage variables
for predictive control, which avoids weight-adjustment. Secondly, 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.