IFIR   05409
INSTITUTO DE FISICA DE ROSARIO
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Robust Adaptive Predictive Fault-Tolerant Control Linked with Fault
Autor/es:
ZUMOFFEN D., BASUALDO M., JORDAN M. AND CECCATTO A.
Lugar:
San Diego California-Estados Unidos de América
Reunión:
Conferencia; Conference on Decision and Control; 2006
Institución organizadora:
IEEE
Resumen:
AbstractIn this paper, a new fault-tolerant control (FTC)
strategy is proposed to compensate for the effects of faults and
to improve the overall performance for nonlinear stable plants.
The FTC approach involves a commutation of a linear timevarying
robust filter in the feedback path of the control loop
in synchronization with an adaptive predictive controller. The
decision of which mode has to work is based on specific conditions
accounted in the control algorithm. In addition, the faulttolerance
ability of the controller has been further improved by
a fault-diagnosis system (FDS) designed for detecting two fault
types: specific bias at the sensor and time delay at the actuator.
The FDS is developed by using wavelet decomposition and
identification techniques respectively. An implementation on a
continuous stirred tank reactor (CSTR) with jacket is presented
as a simulation example for analyzing the effectiveness of the
FTC linked with FDS methodology proposed here.In this paper, a new fault-tolerant control (FTC)
strategy is proposed to compensate for the effects of faults and
to improve the overall performance for nonlinear stable plants.
The FTC approach involves a commutation of a linear timevarying
robust filter in the feedback path of the control loop
in synchronization with an adaptive predictive controller. The
decision of which mode has to work is based on specific conditions
accounted in the control algorithm. In addition, the faulttolerance
ability of the controller has been further improved by
a fault-diagnosis system (FDS) designed for detecting two fault
types: specific bias at the sensor and time delay at the actuator.
The FDS is developed by using wavelet decomposition and
identification techniques respectively. An implementation on a
continuous stirred tank reactor (CSTR) with jacket is presented
as a simulation example for analyzing the effectiveness of the
FTC linked with FDS methodology proposed here.