Multiple Model Predictive Control of Multivariable pH Process Using Adaptive Weighting Matrices

نویسندگان

  • Peyman Bagheri
  • Vahid Mardanlou
  • Alireza Fatehi
چکیده

Extreme nonlinearity and exhibition of severe interaction effects of multivariable pH processes makes it an appropriate test bed for evaluation of advanced controllers. This paper studies different multiple model methods for Generalized Predictive Control using Independent Model approach (GPCI) with adaptive weighting matrices. New method for adaptive determination of weighting matrices, proposed in this paper. Simulation results via typical multivariable pH process demonstrate the effectiveness and validity of the method. Different multiple model methods using adaptive weighting matrices compared with each other.

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تاریخ انتشار 2011