Real-time nonlinear MPC and MHE for a large-scale mechatronic application
Journal article, 2015

Progress in optimization algorithms and in computational hardware made deployment of Nonlinear Model Predictive Control (NMPC) and Moving Horizon Estimation (MHE) possible to mechatronic applications. This paper aims to assess the computational performance of NMPC and MHE for rotational start-up of Airborne Wind Energy systems. The capabilities offered by an automatic code generation tool are experimentally verified on a real physical system, using a model comprising 27 states and 4 inputs at a sampling frequency of 25 Hz. The results show the feedback times less than 5 ms for the NMPC with more than 1500 variables.

Moving horizon estimation (MHE)

Nonlinear model predictive control (NMPC)

Real-time iteration (RTI) scheme

Automatic code generation

Airborne wind energy

Rotational start-up

Author

M. Vukov

KU Leuven

Sébastien Gros

Chalmers, Signals and Systems, Systems and control, Automatic Control

G. Horn

KU Leuven

University of Freiburg

G. Frison

Technical University of Denmark (DTU)

K. Geebelen

KU Leuven

J. B. Jørgensen

Technical University of Denmark (DTU)

J. Swevers

KU Leuven

M. Diehl

University of Freiburg

KU Leuven

Control Engineering Practice

0967-0661 (ISSN)

Vol. 45 64-78

Subject Categories

Energy Engineering

DOI

10.1016/j.conengprac.2015.08.012

More information

Latest update

5/29/2018