Collaborative Simulation Method with Spatiotemporal Synchronization Process Control

When designing a complex mechatronics system, such as high speed trains, it is relatively difficult to effectively simulate the entire system＇s dynamic behaviors because it involves multi-disciplinary subsystems. Currently, a most practical approach for multi-disciplinary simulation is interface bas...

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Bibliographic Details
Published in:Chinese journal of mechanical engineering 2016-11, Vol.29 (6), p.1074-1082
Main Authors: Zou, Yisheng, Ding, Guofu, Zhang, Weihua, Zhang, Jian, Qin, Shengfeng, Tan, John Kian
Format: Article
Language:English
Subjects:
Algorithms
Collaboration
Computer simulation
Control algorithms
Control theory
Coupling
Electrical Machines and Networks
Electronics and Microelectronics
Engineering
Engineering Thermodynamics
Heat and Mass Transfer
High speed rail
Instrumentation
Machines
Manufacturing
Mechanical Engineering
Mechatronics
Power Electronics
Process controls
Processes
Simulation
Subsystems
Synchronism
System effectiveness
Systems design
Theoretical and Applied Mechanics
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Summary:When designing a complex mechatronics system, such as high speed trains, it is relatively difficult to effectively simulate the entire system＇s dynamic behaviors because it involves multi-disciplinary subsystems. Currently, a most practical approach for multi-disciplinary simulation is interface based coupling simulation method, but it faces a twofold challenge： spatial and time unsynchronizations among multi-directional coupling simulation of subsystems. A new collaborative simulation method with spatiotemporal synchronization process control is proposed for coupling simulating a given complex mechatronics system across multiple subsystems on different platforms. The method consists of 1） a coupler-based coupling mechanisms to define the interfacing and interaction mechanisms among subsystems, and 2） a simulation process control algorithm to realize the coupling simulation in a spatiotemporal synchronized manner. The test results from a case study show that the proposed method 1） can certainly be used to simulate the sub-systems interactions under different simulation conditions in an engineering system, and 2） effectively supports multi-directional coupling simulation among multi-disciplinary subsystems. This method has been successfully applied in China high speed train design and development processes, demonstrating that it can be applied in a wide range of engineering systems design and simulation with improved efficiency and effectiveness.
ISSN:1000-9345
2192-8258
DOI:10.3901/CJME.2016.0805.088