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MapleSim 5

High performance physical modeling and simulation

MapleSim is a physical modeling tool unlike any other.

MapleSim is built on a foundation of symbolic computation technology, which efficiently manages all of the complex mathematics involved in the development of engineering system models, including multi-domain systems and plant models for control applications.

Key Features of Maple Sim

MapleSim is a drag-and-drop physical modeling tool that applies advanced symbolic computation techniques to produce high-performance simulation models of multi-domain systems. You can construct plant models using acausal connections between the components to represent their physical relationships, and then combine your plant models with signal flow-based control systems. MapleSim generates the representative system equations, reduces them to an optimal form while maintaining model fidelity, and runs a dynamic simulation of the resulting system, complete with a 3-D visual representation.

Using the drag-and-drop physical modeling environment, you can quickly create a model diagram that maps directly to your physical system. View Movie

MapleSim comes with over 300 prebuilt components from 11 different domains, including mechanical, electrical, thermal, signal, and hydraulic, that can be naturally combined in a model diagram. View Movie

Systems equations are automatically generated from the system diagram and simplified using lossless symbolic techniques to produce an optimal set of equations. These equations can be viewed, manipulated, and analyzed using natural math notation.

Equation-based custom components allow you to easily define custom components from first principles by specifying the representative mathematical equations. View Movie

Advanced multibody system handling generates optimized kinematic and dynamic equations for multibody systems.

A flexible model construction environment supports both block diagram and 3-D model construction for multibody systems. During system simulation, realistic 3-D animations allow for full insight and understanding of the resulting dynamic behavior. View Movie

Built-in analysis tools support parameter optimization, sensitivity analysis, equation extraction, multibody analysis, Monte Carlo simulation, and more. View Movie

Units management removes potential conversion and consistency errors.

Live design documentation allows you to analyze, fine tune, and document your project and store the information with your model diagram.

Full-featured symbolic scripting language provides programmatic access to mathematical solvers, structures, and visualization tools.

Symbolic techniques produce efficient, high-fidelity model equations and optimized code for fast real-time execution, including hardware-in-the-loop (HIL) applications. View Movie

Models can be deployed to other applications in your toolchain using the built-in optimized code generation feature or more directly through connectivity add-ons for popular platforms from The MathWorks™ and National Instruments™. View Movie

Whats News In Maple Sim 5?

For details on new features in MapleSim 5, see What’s New in MapleSim 5

Enhanced Support for Modelica
Modelica is an open standard for describing physical models and components. Many components in MapleSim are from the Modelica Standard Library. By using this open standard, engineers have full visibility into their models and the ability to modify the functionality of existing components to best suit their needs. The latest version of MapleSim increases its support for the Modelica open standard.

Modelica Import. MapleSim users can now access new collections of components using the Modelica import feature, seamlessly including third-party Modelica libraries and their own custom Modelica components in their MapleSim models. Libraries, components, and models based on the electrical, 1-D mechanical, signals, and thermal heat flow domains from the Modelica 3.1 Standard Library can be easily imported into MapleSim and included with standard MapleSim components and models.
Modelica 3.1 Support. MapleSim 5 is based on Modelica 3.1, the latest version of the Modelica Standard Library. By using the latest version, MapleSim incorporates Modelica’s improvements to many of its components. In addition, initial conditions can now be specified for all Modelica-based components, where appropriate. MapleSim 4.5 automatically converts older existing MapleSim models to use the Modelica 3.1 Standard Library, so that they can also take advantage of the latest improvements.

Increased Speed and Modeling Capabilities for Continuous Systems with Discrete Events
MapleSim 5 includes an improved simulation engine that can readily simulate continuous models with discrete events. The enhanced engine handles a much larger class of these systems than earlier versions, and shows significant performance improvements for existing hybrid discrete and continuous models.

MapleSim 5 can efficiently simulate a wide variety of hybrid models, such as automotive clutches, electric amplifiers, active filter models, automotive stability controllers, and contact models. With the improved engine, MapleSim can now handle models that include hundreds of events.
Models with discrete events will often run 10 times faster than in MapleSim 5, with some models running over 100 times faster.
The improved simulation engine also results in reduced formulation times for large continuous models, shortening the time the engine requires to prepare the model for simulation.

Expanded Tool Collection
The expanded collection of tools available in MapleSim 5 simplifies parameter set management and provides a convenient mechanism for modeling linear discrete systems.

MapleSim 5 allows customers to use Microsoft® Excel® to manage their parameter sets, so that they can easily view and access them from outside MapleSim. All parameter sets for a model can be stored in a single file so they are easy to manage, compare, share with colleagues, and access using other software in the toolchain.
With MapleSim 5, engineers can easily create custom components for linear discrete systems, simply by entering the corresponding equations. Both transfer functions and state-space equations are supported. With this ability, engineers working in areas such as control system design, filter design, and system identification can easily create discrete models from their data.