Sensitivity-Based Economic NMPC with a Path-Following Approach
AbstractWe present a sensitivity-based predictor-corrector path-following algorithm for fast nonlinear model predictive control (NMPC) and demonstrate it on a large case study with an economic cost function. The path-following method is applied within the advanced-step NMPC framework to obtain fast and accurate approximate solutions of the NMPC problem. In our approach, we solve a sequence of quadratic programs to trace the optimal NMPC solution along a parameter change. A distinguishing feature of the path-following algorithm in this paper is that the strongly-active inequality constraints are included as equality constraints in the quadratic programs, while the weakly-active constraints are left as inequalities. This leads to close tracking of the optimal solution. The approach is applied to an economic NMPC case study consisting of a process with a reactor, a distillation column and a recycler. We compare the path-following NMPC solution with an ideal NMPC solution, which is obtained by solving the full nonlinear programming problem. Our simulations show that the proposed algorithm effectively traces the exact solution. View Full-Text
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Suwartadi, E.; Kungurtsev, V.; Jäschke, J. Sensitivity-Based Economic NMPC with a Path-Following Approach. Processes 2017, 5, 8.
Suwartadi E, Kungurtsev V, Jäschke J. Sensitivity-Based Economic NMPC with a Path-Following Approach. Processes. 2017; 5(1):8.Chicago/Turabian Style
Suwartadi, Eka; Kungurtsev, Vyacheslav; Jäschke, Johannes. 2017. "Sensitivity-Based Economic NMPC with a Path-Following Approach." Processes 5, no. 1: 8.
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