Modeling Physical Systems with Simscape

Overview

In this session you will learn the basics of simulating physical systems in Simscape. The physical network approach in Simscape enables you to model physical systems by simply assembling a schematic of physical components. You can tailor the level of model fidelity to match your engineering task, which makes your development process more efficient.

Highlights

Modeling quadcopter with electric, mechanical, and multibody components
Estimating motor parameters
Target applications for Simscape
How to get started modeling physical systems

Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can't make it for the live broadcast, register and we will send you a link to watch it on-demand.

About the Presenters

Karanjodh Singh Meen has a MS in Mechanical Engineering from Arizona State University and BE form Punjab Engineering College, India. He specializes in the areas of control systems, system dynamics and robotics. In 2018, he joined Technical Support at MathWorks and later moved to the Application Engineering Group in 2019. He works with customers in automotive, medical device, industrial automation and aerospace industries specifically supporting workflows that involve modeling physical systems, designing controls and automatic code generation.

Tianyi Zhu is a product marketing manager at MathWorks focused on Simulink® and AI. He helps engineers worldwide adopt Model-Based Design, integrate AI functionality into embedded systems, and leverage the power of modeling and automation to accelerate development processes. Tianyi holds an M.S. in Engineering Management and M.S. and B.S. degrees in Electrical and Computer Engineering, all from Carnegie Mellon University.

Product Focus

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