From the series: Making Control System Development Easier with MATLAB and Simulink
Arkadiy Turevskiy, MathWorks
• Struggling with getting access to a prototype to test that your design is error free and that various system components work together as intended?
• Finding design errors late in the development process or even in the field?
• Trying to reduce the cost of your development process?
If you answered "yes" to any of these questions, then view this webinar to learn how to use dynamic simulation to model, design, and verify control systems before testing on hardware. It is the first of a four-part webinar series that will highlight the use of MathWorks products for designing a control system by using a digital motion control case study. The webinar will introduce the main products used in the case study and highlight the benefits gained through dynamic simulation in Simulink. The remaining three webinars will detail the aspects of modeling the plant (part 2), designing the control system (part 3), and verifying the control system through real-time testing (part 4).
Through this webinar series MathWorks engineers will demonstrate how you can:
• Test more thoroughly, by starting before hardware is available and by simulating conditions that would be dangerous or costly to examine with real hardware.
• Catch errors early in the development process where they are easier and cheaper to fix.
• Troubleshoot existing design problems systematically and effectively, without tying up actual hardware systems.
• Try different control strategies safely and quickly
This will help you reduce development time and costs, improve quality, and deliver systems with higher performance and efficiency.
• “Without MathWorks tools, we would have had to use C or Fortran to construct a suitable simulation model. We would not have been able to analyze the behavior of the controller and the mechanical system together before protoyping”. Robert Peterson, CARCO Electronics.
• “We created a hardware-in-the-loop testing tool using Simulink, Real-Time Workshop, and xPC Target that enables us to very rapidly test control algorithms in a way that is simply not possible on an actual airplane”. Allan Johnson, Cessna Aircraft Company.
• “MathWorks tools made it easy for us to test ideas, introduce new algorithms, and compare one controller against another... We could quickly change the structure of the controller and immediately see the results. The ability to perform rapid iterations enabled us to optimize quality and functionality while greatly reducing development cycle time." Thomas Debes, manroland
About the Presenter: Arkadiy Turevskiy has 13 years of experience with MATLAB and Simulink. Prior to The MathWorks Arkadiy developed embedded control systems for aircraft engines.
Recorded: 19 Jan 2010
Making Control System Development Easier with MATLAB and Simulink, Part 1: Introduction to Dynamic Simulation
Learn how to use dynamic simulation to model, design, and verify control systems before testing on hardware.
Making Control System Development Easier with MATLAB and Simulink, Part 2: Plant Modeling
Learn different plant modeling techniques from first-principles modeling to importing CAD assemblies to system identification.
Making Control System Development Easier with MATLAB and Simulink, Part 3: Control Design
Learn how to analyze and design control systems, using techniques such as graphical design of a notch filter, automatic PID controller tuning, discretization of continuous-time controller, and development of fault detection logic.
Making Control System Development Easier with MATLAB and Simulink, Part 4: Real-Time Testing
Learn how to build and execute real-time tests, and connect those tests to hardware, for realistic functional testing of a control system.