Robust Model Predictive Control of a Nuclear Power Plant Pressurizer Subsystem

T. Péni, I. Varga, G. Szederkényi, and J. Bokor (Hungary)


process control, robust model predictive control, con strained control


Robust model predictive control of an industrial pressur izer is presented in this paper. The physical model of the pressurizer is based on first engineering principles and the model parameters have been previously identified from measured data. To satisfy the hard constraints on the state variables and the input even in the presence of disturbances, the so-called single policy robust model predictive control method is applied. The maximal admissible level set, the disturbance invariant set and the terminal sets are deter mined for the system. Simulation results show that the pro posed controller satisfies all the requirements and shows good time-domain behavior.

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