@article{BarzSeligerMarxetal., author = {Barz, Tilman and Seliger, Dominik and Marx, Klemens and Sommer, Andreas and Walter, Sebastian F. and Bock, Hans Georg and Koerkel, Stefan}, title = {State and state of charge estimation for a latent heat storage}, series = {Control Engineering Practice}, volume = {72}, journal = {Control Engineering Practice}, publisher = {Pergamon-Elsevier d.}, doi = {10.1016/j.conengprac.2017.11.006}, pages = {151 -- 166}, abstract = {A nonlinear state observer is designed for a thermal energy storage with solid/liquid phase change material (PCM). Using a physical 2D dynamic model, the observer reconstructs transient spatial temperature fields inside the storage and estimates the stored energy and the state of charge. The observer has been successfully tested with a lab-scale latent heat storage with a single pass tube bundle and the phase change material located in a shell around each tube. It turns out that the observer robustly tracks the real process data with as few as four internal PCM temperature sensors. © 2017 Elsevier Ltd. All rights reserved.}, language = {en} } @article{JostKudrussKoerkeletal., author = {Jost, Felix and Kudruss, Manuel and Koerkel, Stefan and Walter, Sebastian F.}, title = {A computational method for key-performance-indicator-based parameter identification of industrial manipulators}, series = {Journal of mathematics in Industry}, volume = {7}, journal = {Journal of mathematics in Industry}, number = {9}, publisher = {Springer Nature}, doi = {10.1186/s13362-017-0039-7}, abstract = {We present a novel derivative-based parameter identification method to improve the precision at the tool center point of an industrial manipulator. The tool center point is directly considered in the optimization as part of the problem formulation as a key performance indicator. Additionally, our proposed method takes collision avoidance as special nonlinear constraints into account and is therefore suitable for industrial use. The performed numerical experiments show that the optimum experimental designs considering key performance indicators during optimization achieve a significant improvement in comparison to other methods. An improvement in terms of precision at the tool center point of 40\% to 44\% was achieved in experiments with three KUKA robots and 90 notional manipulator models compared to the heuristic experimental designs chosen by an experimenter as well as 10\% to 19\% compared to an existing state-of-the-art method.}, language = {en} }