A Multivariable Nonlinear Model Predictive Control Framework for a PEM Fuel Cell System Academic Article uri icon

abstract

  • The aim of this work is to present an integrated framework for the on-line control of a Polymer Electrolyte Membrane (PEM) fuel cell system using an optimization-based control methodology. The framework consists of a nonlinear model predictive control (NMPC) scheme and an on-line supervisory control and data acquisition system (SCADA). The solution of the NMPC problem is achieved by a direct optimization method which involves the use of orthogonal collocation on finite elements and represents the optimal control problem as a nonlinear programming problem (NLP). The on-line application of the multivariable controller shows that the proposed framework can accomplish the desired objectives for power fulfilment in the context of a safe operating region. Furthermore the controller exhibits excellent performance in terms of computational requirements and can follow load changes with a negligible error in its response. 2012 Elsevier B.V.

published proceedings

  • 11TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING, PTS A AND B

author list (cited authors)

  • Ziogou, C., Pistikopoulos, E. N., Voutetakis, S., Georgiadis, M. C., & Papadopoulou, S.

citation count

  • 0

complete list of authors

  • Ziogou, Chrysovalantou||Pistikopoulos, Efstratios N||Voutetakis, Spyros||Georgiadis, Michael C||Papadopoulou, Simira

publication date

  • January 2012