MSC, EASY5 Overview MSC.EASY5 Levels of Dynamic System Simulation Fidelity Physical systems can be simulated at many levels of detail. the correct level depends on the purpose of the simulation and the physics desired in the modeL. 1. Atomic level -Uses equations from quantum mechanics Purpose: Molecular level effects Applications: nuclear physics 2. Microscopic or distributed parameter)-Uses partial differential equations Purpose: Study quantities that vary significantly over the points in a geometric object Applications: Detailed aerodynamics, impact analysis, component analysis 3. Macroscopic (or lumped parameter)-Uses ordinary differential equations Purpose: Study quantities that vary in time but can be averaged over spatial components Applications: Flight controls, hydraulic system analysis, electric power system control 4. Systems analysis- Uses algebraic equations with time delays Purpose: Study quantities that effectively change value instantaneously at discrete instances of time Applications: Scheduling, communications Each level requires orders of magnitude more effort than the next highest but provides generally more accurate results MSC EASY5 models dynamic systems at Level 3 EAS101 Introduction to mSC EasY5- Chart 4 MSCXSOFTWARE SIRULATINE IEALITYMSC.EASY5 EAS101 Introduction to MSC.EASY5 - Chart 4 MSC.EASY5 Overview Levels of Dynamic System Simulation Fidelity Physical systems can be simulated at many levels of detail. The correct level depends on the purpose of the simulation and the physics desired in the model. 1. Atomic level - Uses equations from quantum mechanics Purpose: Molecular level effects. Applications: nuclear physics. 2. Microscopic (or distributed parameter) - Uses partial differential equations Purpose: Study quantities that vary significantly over the points in a geometric object. Applications: Detailed aerodynamics, impact analysis, component analysis. 3. Macroscopic (or lumped parameter) - Uses ordinary differential equations Purpose: Study quantities that vary in time but can be averaged over spatial components. Applications: Flight controls, hydraulic system analysis, electric power system control 4. Systems analysis - Uses algebraic equations with time delays Purpose: Study quantities that effectively change value instantaneously at discrete instances of time. Applications: Scheduling, communications. Each level requires orders of magnitude more effort than the next highest but provides generally more accurate results. MSC.EASY5 models dynamic systems at Level 3