A Framework for Nonlinear Model Predictive Control in JModelica.org
Magdalena Axelsson, Fredrik Magnusson, Toivo Henningsson · Linköping electronic conference proceedings · 2015
Nonlinear Model Predictive Control (NMPC) is a control strategy based on repeatedly solving an optimal control problem. In this paper we present a new MPC frame-work for the JModelica.org platform, developed specif-ically for use in NMPC schemes. The new framework utilizes the fact that the optimal control problem to be solved does not change between solutions, thus decreas-ing the computation time needed to solve it. The new framework is compared to the old optimization frame-work in JModelica.org in regards to computation time and solution obtained through a benchmark on a com-bined cycle power plant. The results show that the new framework obtains the same solution as the old frame-work, but in less than half the time.