Adaptive Iterative Learning Control Applied to NonLinear Batch Reactor

ADAM, EDUARDO JOSÉ

Río Gallegos, Santa Cruz, Argentina

Congreso; XII Reunión de Trabajo en Procesamiento de la Información y Control - RPIC 2007; 2007

Universidad Nacional de la Patagonia Austral, Río Gallegos, Santa Cruz, Argentina

<!-- @page { size: 21.59cm 27.94cm; margin: 2cm } P { margin-bottom: 0.21cm } --> 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.