Real-time sequential convex programming for nonlinear model predictive control and application to a hydro-power plant

@article{Tran2011RealtimeSC,
  title={Real-time sequential convex programming for nonlinear model predictive control and application to a hydro-power plant},
  author={Dinh Quoc Tran and Carlo Savorgnan and Moritz Diehl},
  journal={IEEE Conference on Decision and Control and European Control Conference},
  year={2011},
  pages={5905-5910}
}
In this paper we propose a new algorithm for solving nonlinear optimal control problems which is called real-time sequential convex programming (RTSCP). The main difference between this approach and the previous real-time iteration algorithms is that RTSCP linearizes only the nonconvex parts of the problem while it preserves all the convex structure which can be exploited by standard convex optimization techniques. The algorithm is applied to the control of a hydro power plant with 259 states… CONTINUE READING