2022.1
MotionSolve is a system level, multi-body solver that is based on the principles of mechanics.
View new features for MotionSolve 2022.1.
MotionSolve® is an integrated solution to analyze, evaluate, and optimize the performance of multi-body systems.
Discover MotionSolve functionality with interactive tutorials.
The MotionSolve Optimization Guide explains the design sensitivity and optimization capabilities in MotionSolve.
Optimization capabilities in MotionSolve include equations of motion for a multibody system, design variables and limits, and analysis support.
Optimization is a vast area that has a many applications in diverse areas such as engineering, economics, business and medicine.
The input data for an optimization is organized in a python parametric model class with methods that operate on the class.
Every optimization run generates a variety of files.
Advanced topics include a scaling optimization problem and tips on how to debug optimization runs.
This example, referred to as MV3010 in this section, describes the optimization of an SLA suspension and is also available in MotionSolve tutorial topics/solvers/ms/optimization_using_mv_hs_intro_r.html#optimization_using_mv_hs_intro_r.
In this example, we are designing a PID controller whose job is to minimize the effects of a disturbance force on the position, velocity, and acceleration of a block.
A continuous track plug-in for tracked vehicles, such as bulldozers, excavators, robots, snowmobiles, and military vehicles.
This manual provides a detailed list and usage information regarding command statements, model statements, functions and the Subroutine Interface available in MotionSolve.
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