Adaptive Receding Horizon Control of Tubular Bioreactors

This paper presents a case study of application of an adaptive nonlinear predictive control algorithm to tubular bioreactors. According to the control strategy proposed, the system of PDEs describing the reactor is approximated by a lumped parameter model obtained using the Orthogonal Collocation Method. An adaptive receding horizon controller is then designed using Control Lyapunov Function methods. The design procedure and the resulting performance is illustrated by simulations in a two reactions model with Contois kinetics.