On-demand Web Seminar
Abstract
This webinar will present an innovative system-integration methodology, illustrated using sample systems, to help you create a fully functioning, on-time product, rather than one that gets to market late, with intermittent field failures.
Duration: 01:13:14
Overview
This webinar will present an innovative system-integration methodology, illustrated using sample systems, to help you create a fully functioning, on-time product, rather than one that gets to market late, with intermittent field failures.
Today’s cross-discipline electro-mechanical or “mechatronic” systems (combining mechanical, electrical, control, and software systems) require highly coordinated modeling, simulation, and interaction among members of the extended design team.
What You Will Learn
- Basic analog, digital, mixed-signal and multi-technology modeling, leveraging a large library of built-in SPICE models, easily added vendor models, and using datasheet-driven graphical modeling methods.
- Digital hardware modeling and simulation—running in the context of a complete electro-mechanical/mechatronic system.
- Parametric and statistical analysis methods to improve quality and reduce manufacturing and warranty costs.
- Going beyond analog and digital electronics to include thermal, electro-magnetic and mechanical components, as well as digital logic and other critical aspects of the mechatronic system, using VHDL-AMS.
- Collaboration with colleagues who are using Simulink for control algorithm design, so they can include higher fidelity hardware models “in-the-loop.”
- Execution and verification of C-code from your embedded system control or supervisory software function, also in the context of the mechatronic system.
About the Presenter
Scott Cooper
R. Scott Cooper has been developing simulation models for more than two decades. The author of "The Designers' Guide to Analog & Mixed-Signal Modeling," Scott has worked in the aerospace industry and currently in the EDA industry, developing modeling and simulation techniques that benefit multiple industries.
Who Should View
- Engineering managers concerned about improving quality while reducing design-cycle time
- System-design engineers
- Engineers and managers involved in analog, digital, or mixed-signal system design
- Engineers and managers involved in mechatronic system design - particularly in rapid prototyping environments where return on tool investment is critical
System Modeling
Solutions
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