INTEC   05402
INSTITUTO DE DESARROLLO TECNOLOGICO PARA LA INDUSTRIA QUIMICA
Unidad Ejecutora - UE
artículos
Título:
Parametric uncertainty and disturbance attenuation in the suboptimal control of a non-linear electrochemical process
Autor/es:
VICENTE COSTANZA
Revista:
OPTIMAL CONTROL APPLICATIONS & METHODS
Editorial:
John Wiley & Sons, Ltd.
Referencias:
Lugar: Hoboken, NJ, USA; Año: 2007 vol. 28 p. 209 - 228
ISSN:
0143-2087
Resumen:
The optimal control of the hydrogen evolution reactions is attempted for the regulation and change of setpoint
problems, taking into account that model parameters are uncertain and I/O signals are corrupted by
noise. Bilinear approximations are constructed, and their dimension eventually increased to meet accuracy
requirements with respect to the trajectories of the original plant. The current approximate model is used to
evaluate the optimal feedback through integration of the Hamiltonian equations. The initial value for the
costate is found by solving a state-dependent algebraic Riccati equation, and the resulting control is then
suboptimal for the electrochemical process. The bilinear model allows for an optimal KalmanBucy filter
application to reduce external noise. The filtered output is reprocessed through a non-linear observer in
order to obtain a state-estimation as independent as possible from the bilinear model. Uncertainties on
parameters are attenuated through an adaptive control strategy that exploits sensitivity functions in a novel
fashion. The whole approach to this control problem can be applied to a fairly general class of non-linear
continuous systems subject to analogous stochastic perturbations. All calculations can be handled on-line
by standard ordinary differential equations integration software.