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Events - Seminars

Using Model-Based Design to Meet Control Design Challenges

Seminar Overview

In this full-day seminar, MathWorks engineers will walk you through the different phases of electronic control system design from modeling dynamic systems, verifying controller models, creating empirical models for complex plants, to verifying controller models in real-time simulation environments and implementing embedded systems using production code generation technology. 

Join us for this special event to understand how Model-Based Design, a development method embraced by various industries such as Automotive, Aerospace, and Industrial Automation around the world, can help.

Speakers

Peter Maloney

Pete Maloney is a Principal Consulting Engineer for The MathWorks, Inc.  His main areas of focus at The MathWorks are powertrain calibration tool development and application, large-scale control modeling, and physical system modeling for automotive customers.  Before joining The MathWorks in 2000, he designed and developed electronic engine control algorithms for Ford Motor Company and Delphi Automotive Systems over a 10 year period, resulting in 15 related patents.  Mr. Maloney has a B.S.M.E. from Texas Tech University, and a S.M.M.E. from the Massachusetts Institute of Technology.

R Vijayalayan

Vijayalayan is an Application Engineer with MathWorks India Private Limited and specializes in the field of Control Design and Automation. He closely interacts with customers in different domains to help them use MathWorks products for physical modeling and Control Design. Prior to joining MathWorks, Vijayalayan was a Team Lead in the Embedded Systems Group of Cranes Software where he had hands on experience in setting up Rapid Control Prototyping and Hardware in Loop Simulation environments for automotive customers. He holds a Masters Degree in Control Guidance and Instrumentation from IIT Madras and has received his Bachelors Degree from Manonmaniam Sundaranar University.

Shobhit Shanker

Shobhit is an Application Engineer with MathWorks India Private Limited and has an overall experience of around 7 years in the Industry with focus on Model Based Design, Automatic Embedded Production Code Generation, Software Verification and Validation methodologies. Prior to joining MathWorks he worked with Honeywell Technologies and Delphi Automotive System at Bangalore, India. He holds a Masters Degree in Computer Engineering (Thesis on active safety in automotive) from Wayne State University, Detroit, Michigan U.S. and a B.E in Electronics and Communication.

Shobhit has international publications in 'In-Vehicle' networks and 'Intelligent Transportation Systems' in forums like IEEE, SAE World Congress 2004 and National Defense Industries Association, Michigan U.S.



Thank you for your interest in MathWorks Seminars. There are no dates currently scheduled for this Seminar. For more information on our seminars and products contact MathWorks sales or please visit:


Who Should Attend

Anyone involved in control systems design, especially with a focus on automotive applications including:

•         Automotive OEM and embedded systems developers

•         Control design engineers and managers

•         Systems engineers

•         Design engineers

•         Project engineers and managers

Although the examples will be from the automotive industry, the basic concepts can be carried over into all controls systems applications in other industries

Students are requested not to register for this seminar as we have limited seats available.

Seminar Highlights

  • We will start from the basics of control system modeling in Simulink, and show you new tools and capabilities, such as Simulink Design Optimization and automatic PID controller tuning, that ease the life of a control systems developer.
  • A comprehensive overview of the Model-Based Calibration Toolbox will show how optimized calibrations of complex high-degree-of-freedom systems, such as engines, can be achieved.
  • In two separate breakout sessions, you will be either taken through

   The capabilities of the MathWorks physical modeling tools for controller verification and real-time simulation or

   The workflow for automatic code generation using Real-Time Workshop Embedded Coder, model verification and  validation, as well as code verification using the PolySpace tools.

  • In a final wrap up, we will show a powertrain example that uses our optimization, calibration, and physical modeling tools, and that brings the various concepts of design and verification together.
Agenda
09:00 AM TO 09:30 AM

Registrations

09:30 AM TO 11:00 AM

Model-Based Design for Control System Design

• Control Design Challenges

• Model-Based Design Applied to a Real-Life Control Design Challenge

• Control Design Made Easy

• Design Optimization

• System Identification

• PID Controller Tuning

11:00 AM TO 11:30 AM

Tea / Coffee Break

11:30 AM TO 12:30 PM

Empirical Plant Model Development and Engine Calibration using Model-Based Calibration Toolbox

12:30 PM TO 01:30 PM

Lunch

01:30 PM TO 02:30 PM

System-Level Design Optimization – Powertrain Example

02:30 PM TO 02:45 PM

Tea / Coffee Break

02:45 PM TO 04:00 PM

Breakout Session - A

Production Code Generation and Verification 

•         Code Generation Workflow

•         Model Verification & Validation

•         Code Verification using PolySpace

Wrap Up / Q&A

02:45 PM To 04:00 PM

Breakout Session - B

Controller Verification through Physical Modeling 

•         Overview of Multi-Domain Modeling Tools

•         Integration of Controllers with Plant Models

•         Rapid Control Prototyping and HIL Simulation

Wrap Up / Q&A


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