TY - JOUR A1 - Barz, Tilman A1 - Seliger, Dominik A1 - Marx, Klemens A1 - Sommer, Andreas A1 - Walter, Sebastian F. A1 - Bock, Hans Georg A1 - Koerkel, Stefan T1 - State and state of charge estimation for a latent heat storage JF - Control Engineering Practice N2 - 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. KW - Heat conduction in cylindrical shell KW - Kalman filter KW - Latent heat thermal energy storage (LHTES) KW - MODEL KW - Nonlinear state observer KW - OF-THE-ART KW - Orthogonal collocation KW - PCM KW - PERFORMANCE ENHANCEMENT TECHNIQUES KW - PHASE-CHANGE MATERIAL KW - POLYETHYLENE KW - Reduced model KW - simulation KW - Solidification KW - State of charge (SOC) KW - SYSTEMS KW - THERMAL-ENERGY STORAGE Y1 - 2018 U6 - https://doi.org/10.1016/j.conengprac.2017.11.006 VL - 72 SP - 151 EP - 166 PB - Pergamon-Elsevier d. ER - TY - JOUR A1 - Jost, Felix A1 - Kudruss, Manuel A1 - Koerkel, Stefan A1 - Walter, Sebastian F. T1 - A computational method for key-performance-indicator-based parameter identification of industrial manipulators JF - Journal of mathematics in Industry N2 - 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. KW - ACCURACY KW - collision avoidance KW - CONFIGURATIONS KW - industrial manipulators KW - key performance indicator KW - optimum experimental design KW - parameter identification KW - quantity of interest KW - ROBOT CALIBRATION Y1 - 2017 U6 - https://doi.org/10.1186/s13362-017-0039-7 VL - 7 IS - 9 PB - Springer Nature ER -