INVESTIGADORES
HAIMOVICH Hernan
congresos y reuniones científicas
Título:
DTFC vs. MPC for induction motor control reconfiguration after inverter faults
Autor/es:
MATÍAS A. NACUSSE; MÓNICA ROMERO; HERNAN HAIMOVICH; MARÍA M. SERON
Reunión:
Conferencia; Conference on Control and Fault Tolerant Systems (SysTol); 2010
Resumen:
This work compares the use of direct torque
and flux control (DTFC) and model predictive control (MPC)
for induction motor (IM) control. These two strategies are
fundamentally different in operation since (i) DTFC decides the
current control action based on a switching table constructed
using a simplified model of the IM, whereas (ii)MPC decides the
current control action by on-line minimization of a cost function
that uses the available inverter output voltages as optimization
variables. Emphasis is given in this work to the reconfiguration
of the control action after voltage source inverter faults. We
assume that the fault can be suitably detected and isolated and
that the inverter can be reconfigured after the specific fault
to continue operation, albeit with a reduced set of achievable
output vectors. Based on this reduced set of vectors, we propose
to reconfigure the induction motor control algorithm by (i)
instructing DTFC to use a reconfigured switching table or (ii)
providing the reduced set of inverter vectors as the reconfigured
constraint set of optimization variables for MPC. Simulation
results show that MPC considerably outperforms DTFC at
a modest increment of computational cost. Moreover, this
increment is less pronounced under fault since the number
of optimization variables is reduced.