TY - CHAP A1 - Müller, Tino A1 - Endisch, Christian T1 - Compensation techniques for iterative rig control in multi-axial durability testing T2 - 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA) UR - https://doi.org/10.1109/ETFA.2016.7733517 KW - Testing KW - Inverse problems KW - Load modeling KW - Autoregressive processes KW - Adaptation models KW - Convergence KW - Computational modeling Y1 - 2016 UR - https://doi.org/10.1109/ETFA.2016.7733517 SN - 978-1-5090-1314-2 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Müller, Tino A1 - Endisch, Christian T1 - An estimation based iterative learning control approach for cross-coupled vehicle test systems T2 - 2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM) UR - https://doi.org/10.1109/AIM.2017.8014210 KW - Convergence KW - Testing KW - Control systems KW - Estimation KW - Iterative learning control KW - Load modeling KW - Adaptation models Y1 - 2017 UR - https://doi.org/10.1109/AIM.2017.8014210 SN - 978-1-5090-6000-9 SN - 978-1-5090-5998-0 SN - 2159-6255 SP - 1375 EP - 1381 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Müller, Tino A1 - Vögele, Ulrich A1 - Endisch, Christian T1 - Disturbance compensation for iterative control of suspension durability test rigs T2 - 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM) UR - https://doi.org/10.1109/AIM.2016.7577011 KW - testing KW - predictive models KW - vehicles KW - axles KW - inverse problems KW - actuators KW - optimal control Y1 - 2016 UR - https://doi.org/10.1109/AIM.2016.7577011 SN - 978-1-5090-2065-2 SP - 1675 EP - 1681 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Müller, Tino A1 - Ziegmann, Johannes A1 - Krüner, Simon A1 - Endisch, Christian T1 - Optimization of inverse model identification for multi-axial test rig control JF - MATEC Web of Conferences N2 - Laboratory testing of multi-axial fatigue situations improves repeatability and allows a time condensing of tests which can be carried out until component failure, compared to field testing. To achieve realistic and convincing durability results, precise load data reconstruction is necessary. Cross-talk and a high number of degrees of freedom negatively affect the control accuracy. Therefore a multiple input/multiple output (MIMO) model of the system, capturing all inherent cross-couplings is identified. In a first step the model order is estimated based on the physical fundamentals of a one channel hydraulic-servo system. Subsequently, the structure of the MIMO model is optimized using correlation of the outputs, to increase control stability and reduce complexity of the parameter optimization. The identification process is successfully applied to the iterative control of a multi-axial suspension rig. The results show accurate control, with increased stability compared to control without structure optimization. UR - https://doi.org/10.1051/matecconf/20164201002 Y1 - 2016 UR - https://doi.org/10.1051/matecconf/20164201002 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-16314 SN - 2261-236X VL - 2016 IS - 42 PB - EDP Sciences CY - Les Ulis ER -