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UID:pretalx-amfc2026-A7F8VL@modelica.simtek.cc
DTSTART;TZID=CST:20260921T144000
DTEND;TZID=CST:20260921T150500
DESCRIPTION:Conventional simulation methods relying on single models or emp
 irical formulas fail to support intelligent\, full-lifecycle simulation an
 d verification for complex systems such as marine power systems. Multi-dom
 ain modeling languages like Modelica\, while powerful\, remain at the tool
  level and cannot resolve bottlenecks in data fusion\, high-confidence sim
 ulation\, or closed-loop verification. To overcome these limitations\, thi
 s paper proposes a system simulation methodology based on data\, models\, 
 and mock-ups. The methodology integrates fulllifecycle multi-source data i
 nto simulation\, employs simulation models to construct a digital mock-up\
 , and achieves tight integration and closed-loop iteration among data\, mo
 dels\, and the physical mock-up among data\, models\, and the physical moc
 k-up\, thereby establishing high-confidence system-level simulation across
  design\, testing\, service\, and maintenance. A digital twin of a marine 
 power system is developed using Modelica with real-time multi-dimensional 
 data interaction. Experimental validation under four typical operating con
 ditions (shutdown\, 0kW\, 30kW\, 60kW) shows that simulated key parameters
  (steam pressure\, turbine speed\, output power) agree closely with measur
 ed values\, with all relative errors controlled within 8%. These results d
 emonstrate the feasibility\, practicality\, and engineering applicability 
 of the proposed methodology\, confirming that integrating data\, models\, 
 and mock-ups effectively supports intelligent full-lifecycle operation and
  maintenance of complex systems and provides an implementable pathway for 
 the intelligent transformation of systems engineering.
DTSTAMP:20261004T070536Z
LOCATION:FMI & MBSE (R2001)
SUMMARY:Simulation and Verification of Marine Power System Based on Data\, 
 Models\, and Mock-ups - Ziyi Zou\, Luotao Xie\, Ruirui Zeng\, Yangzeng Xu\
 , Guobing Chen\, Zichun Yang
URL:https://modelica.simtek.cc/amfc2026/talk/A7F8VL/
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UID:pretalx-amfc2026-E87ZG7@modelica.simtek.cc
DTSTART;TZID=CST:20260922T094500
DTEND;TZID=CST:20260922T101500
DESCRIPTION:The Xu’s Modeling Method\, originating from foundational rese
 arch for the HyPneu software at Oklahoma State University in the 1980s\, p
 rovides an intuitive framework for hydraulic system modeling. Its core pre
 mise is to align the modeling process with engineers’ cognitive paradigm
 s. A key breakthrough was its algorithmic solution to Differential-Algebra
 ic Equation (DAE) problems\, validated through the PERSIM software develop
 ed under China’s “Seventh Five-Year Plan” national project. The meth
 od enables model construction directly from hydraulic schematics by applyi
 ng Kirchhoff’s law at junctions\, reducing all components to two fundame
 ntal sub-models: hydraulic resistance (throttle) and hydraulic capacitance
  (cylinder). This yields an implicit state equation (a DAE). The Xu’s Al
 gorithm solves this via a unified dynamic-static simulation approach\, usi
 ng the Newton-Raphson method iteratively to compute static states and dyna
 mic derivatives over time steps. In the Digital Twin era\, the method find
 s new relevance. Its implicit state equation serves as a potential mechani
 sm model for digital twins\, contingent on solving the inverse problem—a
  current research focus that may incorporate Artificial Intelligence. Addi
 tionally\, the method offers a theoretical basis for creating “Hydraulic
  Intelligent Components\,” guiding the design of simpler\, more efficien
 t constructions from first principles. This positions it as an advancement
  over the classic Hydraulic Resistance Systematic Theory. Practically\, th
 e method is being applied to develop dedicated simulation and digital twin
  software for a hydraulic robot system manufactured in Shenzhen\, demonstr
 ating its ongoing industrial applicability.
DTSTAMP:20261004T070536Z
LOCATION:Main hall (R1016)
SUMMARY:Xu's Modeling Method: A Foundation for Hydraulic Digital Twins and 
 Intelligent Components - Yangzeng Xu
URL:https://modelica.simtek.cc/amfc2026/talk/E87ZG7/
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