A PARAMETRIC OPTIMISATION APPROACH FOR ROBUST MPC
N. M. P. Kakalis, V. Dua, V. Sakizlis, J. D. Perkins and E. N. Pistikopoulos
Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London SW7 2BY, U.K.
In this paper an algorithm is presented for deriving the explicit robust model based optimal control law. The system is represented by linear, discrete-time, time-invariant model with constraints on control and state variables and a quadratic objective function. Using the fundamentals of flexibility analysis the algorithm proposed in this paper derives the robust optimal control law off-line as a function of the state of the process, thus eliminating the repetitive solution of on-line optimisation problems. Hence, the on-line implementation is reduced to a sequence of simple function evaluations. The key advantageous features of the algorithm are demonstrated via an illustrative example.
Keywords: Robustness, Model based control, process control, parametric control, quadratic programming.
Session slot T-Th-A11: Linear Model Predictive Control/Area code 7a : Chemical Process Control

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