Continuous Control Set Model Predictive Torque Control with Minimum
Current Magnitude Criterion for Synchronous Electric Motor Drive
To achieve high efficiency and dynamics in electric drive applications,
it is necessary to have accurate torque control. This is typically
accomplished through a current regulator that is fed by references
generated by various open-loop control strategies, in order to obtain
the desired torque. As an alternative, this work presents a model
predictive torque control. Starting from the torque reference, the
algorithm generates optimal voltage references to the inverter-fed
synchronous motor drive, while working at maximum efficiency and
considering the motor current limit. This feature is achieved by
combining two different norms in the cost function.
According to the paradigm of the more autonomous drives, an important
feature is that the algorithm requires only knowledge of the motor
model. This means that a tuning procedure for control weight is no
longer required as analytically discussed in this work.
Experimental validation of the proposed technique are performed on a
test rig featuring an anisotropic permanent magnet motor in different
dynamic operation, including flipping from the motor nominal working
point to the generator one.