INTEC   05402
INSTITUTO DE DESARROLLO TECNOLOGICO PARA LA INDUSTRIA QUIMICA
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Adaptive Iterative Learning Control Applied to NonLinear Batch Reactor
Autor/es:
ADAM, EDUARDO JOSÉ
Lugar:
Río Gallegos, Santa Cruz, Argentina
Reunión:
Congreso; XII Reunión de Trabajo en Procesamiento de la Información y Control - RPIC 2007; 2007
Institución organizadora:
Universidad Nacional de la Patagonia Austral, Río Gallegos, Santa Cruz, Argentina
Resumen:
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This
work presents an application example of adaptive iterative learning
control (ILC) applied to nonlinear batch reactor with constrains in
the manipulated variable. The strong nonlinearities of the plant can
lead to a non-monotonic convergence of the l2-norm
of the error, and still worse, a unstable equilibrium signal einf(t).
By numeric simulation this works shows that with the adaptive ILC is
possible to obtain a better performance in the controlled variable
than with the traditional feedback and, with the feedback based-ILC.