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Simulation à coût fixe
Le type de solveur à pas fixe, le pas de temps et le nombre d’itérations que vous spécifiez pour un modèle ont une incidence sur la vitesse et la précision de votre simulation temps réel. Le processus de simulation à coût fixe vous aide à choisir des paramètres de solveur à coût fixe qui permettent à votre modèle de s’exécuter sur une machine cible sans générer de dépassements.
Fonctions
simscape.getLocalSolverFixedCostInfo | Determine iteration requirement when transitioning to fixed cost (depuis R2021b) |
Rubriques
- Fixed-Cost Simulation Process
Configure the solvers in your Simscape™ model for real-time simulation.
- Fixed-Cost Simulation for Real-Time Viability
Avoid real-time simulation overruns by choosing a step size and number of iterations that limit the computational cost of simulating your Simscape model.
- Estimate Computation Costs
Determine if your Simscape model is likely to cause an overrun when you simulate it on your real-time target machine by estimating computational costs.
Sélection d՚exemples
Determine System Stiffness
Choose the right solver for fixed-cost simulation based on the numerical stiffness of your model.
Reduce Numerical Stiffness
Eliminate components that cause rapid changes to reduce the computation cost of simulation and to make your Simscape model real-time capable.
Choose Step Size and Number of Iterations
Optimize your Simscape model for real-time simulation and avoid overruns by specifying a combination of step size and number of iterations that provides acceptable accuracy and speed.
Increase Simulation Speed Using the Partitioning Solver
Improve performance by using the Simscape Partitioning solver to convert a large system of equations into several smaller systems of equations that are easier to solve.
Reduce Computation Costs
Make your Simscape model real-time capable by identifying and eliminating unnecessary, computationally costly processes such as redundant monitoring and data logging.
Reduce Fast Dynamics
To make your Simscape model real-time capable, decrease computational cost by reducing fast dynamics that you identify using frequency-response and pole-speed analyses.
