【電磁技術(shù)在線】【電機篇】- 2. 系統(tǒng)控制(Dymola)
講師:Christian Kremers
00:00 電機設(shè)計概覽
00:30 從有限元到功能模型
02:45 CST導(dǎo)出FMU特性模型 demo
04:40 CST導(dǎo)出FMU操作點模型 demo
05:40 Dymola 系統(tǒng)仿真1 demo
09:30 Dymola 系統(tǒng)仿真2 demo
11:50 Dymola 電機仿真 vs CST 電機仿真
13:50 電機控制系統(tǒng) demo
16:30 控制器開關(guān)結(jié)果分析 demo
18:40 控制器穩(wěn)態(tài)結(jié)果分析 demo
Dymola, Dynamic Modeling Laboratory, is a complete tool for modeling and simulation of integrated and complex systems for use within automotive, aerospace, robotics, process and other applications.
Rapidly solve complex multi-disciplinary systems modeling and analysis problems, using Dymola's best-in-class Modelica and simulation technology. Dymola is a complete environment for model creation, testing, simulation and post-processing
Key Advantages
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Multi-engineering. Compatible model libraries for many engineering fields enable high-fidelity modeling of complex integrated systems.
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Modelica. A powerful, object-oriented and formally defined modeling language.
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Free and commercial libraries. User can easily build own or adapt existing components to match unique needs. Comprehensive portfolio of model libraries.
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Reuse. Acausal, equation-oriented models allow a component to be used in different contexts and a model to be used for different studies.
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Symbolic equation processing. Relieves the user from converting equations to assignment statements or block diagrams. Simulations are more efficient and robust.
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Hardware-in-the-Loop Simulation (HILS). Real-time simulation on dSPACE and xPC.
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Powerful interoperability options with full FMI support and interfaces to Python, the SIMULIA tools Abaqus and iSight as well as Simulink.
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Animation. Real-time 3D animation and import of CAD files for visualization
Multi-engineering
Dymola has unique multi-engineering capabilities which means that models can consist of components from many engineering domains. This allows for models of complete systems that better represent the real world. Libraries in many different domains are available that contain components for mechanical, electrical, control, thermal, pneumatic, hydraulic, power train, thermodynamics, vehicle dynamics, air -conditioning, etc.
The capabilities of Dymola empower you to model and simulate any physical component that can be described by ordinary differential equations and algebraic equations at the lowest level, and drag-and-drop composition at higher levels.
Intuitive modeling
Dymola’s graphical editor and the multi-engineering libraries make modeling easy. The libraries include elements corresponding to physical devices which are simply dragged-and-dropped to build the model. Interactions between the components are conveniently described by graphical connections that model the physical coupling of the components. This means that models are intuitively organized the same way as the physical system is composed.
Open and flexible
The Dymola environment is completely open in contrast to many modeling tools that have a fixed set of component models and proprietary methods for introducing new components. Users of Dymola can easily introduce components that match the user’s own and unique needs. This can be done either from scratch or by using existing components as templates. The open and flexible structure makes Dymola an excellent tool to simulate new or alternative designs and technologies. Dymola is based on Modelica(R), which is an object-oriented language for physical modeling developed by the Modelica Association.
Interoperablity Options
Dymola offers a broad variety of interoperability options. Profit from the full support of the FMI standard, Python scripting or use the Simulink interface. By combining the multi-domain modeling strengths of Dymola with the computational power of Simulia products as Abaqus, or iSight you will get faster simulations at a higher level of detail.
Symbolic Manipulation
Dymola has unique and outstanding performance for solving differential algebraic equations (DAE). The key to high performance and robustness is symbolic manipulation which also handles algebraic loop and reduced degrees-of-freedom caused by constraints. These techniques together with special numerical solvers enable real-time Hardware-in-the-Loop Simulations (HILS).