Videos

  • Model and simulate multibody mechanical systems.
  • Design controllers and analyze systems using SimMechanics™. Example applications include a Stewart platform and landing gear.
  • Define rigid bodies and assemble them to model a piston. Reuse piston components to model a four-cylinder engine.
  • Create part definitions parameterized with MATLAB ® for multibody simulation. Reuse parts using copy and paste.
  • Import a CAD assembly to SimMechanics™ using SimMechanics Link. Add tire model and steering system, and automate toe and camber tests using MATLAB ® .
  • Add contact forces to a cam-follower mechanism modeled in SimMechanics™. Adjust the cam profile using MATLAB ® to vary the valve lift.
  • Add contact forces to a Geneva Drive modeled in SimMechanics™. Model complex motion by combining basic contact forces.
  • Model an aileron by assembling parts and joints. Actuate with a Simulink ® signal and view results on a Simulink scope.
  • Define rigid bodies and assemble them to model a piston. Reuse piston components to model a four-cylinder engine.
  • Define rigid bodies and assemble them to model a scissor mechanism. Reuse mechanism components to model a four-stage scissor lift.
  • Replay 3D animations and configure the views. Explore the model from the 3D representation and via the tree browser.
  • Define rigid bodies for multibody simulation. Combine standard solids and define extrusions using MATLAB ® .
  • Parameterize bodies with MATLAB ® variables. Reuse components and mechanisms to build a scissor lift.
  • Actuate joints and send measured values to Simulink ® scopes. A hydraulic system modeled in Simscape™ actuates a scissor lift.
  • Specify exact and approximate initial states, including positions and velocities. Review assembly results in a model report.
  • Model a vehicle in SimMechanics™ including a 3-D tire model. Run vehicle handling, comfort, and vibration tests using Delft-Tyre from TNO Automotive.
  • Model a piston using multibody dynamics. Bodies, joints, and 3D visualization are defined and simulated.
  • Import models from CAD systems to SimMechanics™ using SimMechanics Link. Separate changes made in the CAD system and SimMechanics are automatically merged in the final model.
  • Detect system integration issues in simulation. Mechanical, hydraulic, electrical, and control systems are gradually integrated into a full system model.
  • Automatically log all simulation data from the physical system to the MATLAB ® workspace. Explore data using Simscape™ Results Explorer.
  • Optimize a hydromechanical actuation system to meet system requirements. Parameters in a Simscape Fluids™ model are automatically tuned using optimization algorithms.
  • Design a controller for a rotary inverted pendulum using a SimMechanics™ model imported from CAD. Generate code using QUARC and test the controller on Quanser real-time hardware.
  • Run simulations in parallel on a multicore desktop. Parameter values for an aileron control system are tested in multiple simulations executed simultaneously.
  • Select model variants and simulation modes appropriate for your simulation needs. Nonlinearities and switching effects are added to Simscape Electronics ™ models to assess their effect on a design.
  • Create a bidirectional link between the simulation model and the requirements document. Integrate the requirements document into the development process.
  • Automatically run tests and generate a report documenting simulation results.
  • Convert a mechatronic actuator model to C code and simulate in a hardware-in-the-loop configuration. Simscape ™ parameters are tuned on the real-time target.
  • Convert a hydraulic lift model to C code and simulate in a hardware-in-the-loop configuration. Simscape™ parameters are tuned on the real-time target.
  • Convert a backhoe model to C code and simulate in a hardware-in-the-loop configuration. Simscape™ parameters are tuned on the real-time target.
  • Configure multiple, independent solvers to enable real-time simulation. The model of a hydromechanical pitch control system is simulated on a real-time target.
  • Configure Simscape™ local solvers on your physical networks to enable real-time simulation. The computations per time step are minimized while maintaining accuracy.
  • Use HIL testing instead of hardware prototypes to test control algorithms. Convert physical model to C code and simulate in real time on controller hardware.
  • Share models without requiring licenses for Simscape™ add-on libraries. Open models in Restricted Mode and perform tasks such as simulation, parameter tests, and code generation.
  • Share physical models without exposing intellectual property. The protected subsystems can be used for simulation and parameter testing.