This paper presents a stabilizing distributed model predictive control of a gantry crane taking into account the variation of cable length. The proposed algorithm is based on the off-line computation of a sequence of 1-step controllable sets and a condition that enables flexible convergence towards a suitably chosen terminal set. The crane is modeled as a two dynamically coupled subsystems where the coupling among them is treated as a variation in the system parameters. In this way the model is converted to a polytopic linear parameter varying model which is used to calculate the terminal set and 1-step controllable sets. The proposed approach is verified through simulation and experimental test on the laboratory model.
|Number of pages||6|
|Publication status||Published - 2015|
|Event||5th IFAC Conference on Nonlinear Model Predictive Control (NMPC 2015) - Hotel NH Collection Sevilla, Seville, Spain|
Duration: 17 Sep 2015 → 20 Sep 2015
Conference number: 5