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  • Modeling Complex Mechanical Structures

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  • Simulating Cardiovascular Conditions

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  • Simulating Mechanical Systems on a Transforming Dicycle

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Using a wind turbine blade as an example, this article describes a semi-automated way to create complex 3D mechanical structures using MATLAB and the General Extrusion shape in SimMechanics.
This paper discusses the modeling and simulation of a hovercraft for developing a motion control system. The model will be used to evaluate the controller’s performance before the fully-integrated hardware is available.
A fully automated MCL modeled in Simulink and Simscape enables researchers to accurately simulate cardiac conditions and dynamics to evaluate the performance of cardiac assist devices.
This paper describes the start of the quadrotor design and development process using Model-Based Design with MATLAB and Simulink in the transition from CAD data to a full dynamic model.
Engineers and scientists connect MATLAB and Simulink to FPGAs, microprocessors, cameras, instruments, and other hardware to design, test, and verify systems that combine hardware and software components.
Using Simulink, BPG engineers can simulate aspects of the Uno dicycle that would be too costly, dangerous, or time-consuming to experiment with on the actual hardware.
A challenging controls project gives many students the skills of seasoned engineers well before they graduate.
Use simulation to design and verify complex control strategies in a model—then reuse the model to automatically generate IEC 61131 structured text to program the PLC for deployment.
Johns Hopkins University Applied Physics Laboratory is leading a worldwide team whose mission is to develop a prosthetic that enables the wearer to move with the speed, dexterity, and force of a real arm and perceive pressure, force, & temperature.
Even engineers who are not controls experts can quickly design and tune PID controllers using this simple method.
Aerospace, automotive, communications, mechatronics and other organizations solve the challenge of verifying and validating embedded systems comprising software and electronics.
This article describes methods for modeling and simulating continuous and hybrid continuous-locking mechanical friction using Simulink, Simscape, SimDriveline, and SimMechanics. It is co-authored by Caterpillar and The MathWorks.
As any airline passenger who has experienced moderate turbulence knows, an aircraft is not a rigid structure. In certain circumstances, the complex interaction between the flexible structure and the aerodynamics can produce undesirable effects.
In August 1969, NASA’s spin-stabilized Applications Technology Satellite 5 (ATS5) began to wobble, sending the spacecraft into an unplanned flat spin and crippling the mission. It was later found that this event was caused by excessive fuel slosh.
All but the simplest rigid-body machines are designed to operate within kinematic constraints that restrict the motion of machine components independently of the forces imposed upon them.
SimMechanics and Simulink combine to form an efficient tool for simulating rigid-body mechanical systems, especially in control systems applications.
In this technical example, we examine how to use SimMechanics to model physical components, synthesize controllers, and simulate the closed loop performance of a Stewart Platform, a six degrees-of-freedom positioning system.

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