Simulink is a graphical programming environment integrated with MATLAB for modeling, simulating, and analyzing multi-domain dynamical systems. It uses a block diagram interface where users connect blocks representing system components (e.g., transfer functions, signal generators). Simulink is widely used for Model-Based Design, enabling simulation, automatic code generation for embedded systems, and continuous testing and verification.
Simulink: Model-Based Design
- MathWorks
Simulink provides a visual, block-based language that abstracts the underlying differential equations governing a system’s behavior. This approach, known as Model-Based Design (MBD), places a system model at the center of the development process. Instead of writing textual code, engineers and scientists can build a model by dragging and dropping blocks from extensive libraries and connecting them to represent signal flow. The environment includes a set of numerical solvers for simulating the system’s behavior over time, allowing for rapid prototyping and analysis of dynamic systems, including linear, nonlinear, continuous-time, discrete-time, and hybrid systems.
A key innovation of Simulink is its ability to bridge the gap between system design and implementation. With add-on products like Simulink Coder, the graphical model can be used to automatically generate high-quality, efficient C and C++ code for deployment on embedded processors. This dramatically reduces manual coding errors and accelerates the development cycle for complex control systems found in cars, aircraft, and industrial machinery. The model becomes a single source of truth for simulation, testing, and final implementation, enabling practices like hardware-in-the-loop (HIL) simulation, where the generated code runs on a real-time processor that interacts with physical hardware.
Typ
Unterbrechung
Verwendung
Vorläufersubstanzen
- Analog computing concepts
- SPICE (Simulation Program with Integrated Circuit Emphasis)
- SystemBuild (early graphical modeling tool)
- Stateflow (for state machine modeling)
Anwendungen
- automotive control systems design (e.g., abs, engine control units)
- aerospace flight control and simulation
- industrial automation and process control
- digital signal processing algorithm design
- communications systems modeling
- renewable energy systems design (e.g., wind turbine controllers)
Patente:
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