Videos und Webinare

Model Predictive Control of Diesel Engine Airpath

In this webinar, MathWorks engineers will show how to design model predictive controllers for simultaneous control of boost pressure and exhaust gas recirculation mass flow targets in the presence of driver fuel demand and engine speed changes using VGT and EGR.  

With the new fuel economy and emissions requirements, multiple air system actuators must be used to meet transient power demands and change the engine operating point while minimizing emissions. Due to coupling in system dynamics, traditional single-loop PI controls prove to be insufficient. Multiple-input multiple-output (MIMO) control techniques are increasingly seen as an attractive alternative. Model predictive control offers a structured and intuitive way to accomplish MIMO design.

About the Presenters: 

Pete Maloney
Pete is a senior principal consulting engineer for MathWorks. His main areas of focus are powertrain calibration method development and application, Model-Based Design for electronic engine control systems, and powertrain system-level optimization for the automotive and off-highway industries. Before joining 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. Pete has a B.S.M.E. from Texas Tech University and an S.M.M.E. from the Massachusetts Institute of Technology. He is currently vice chairman of the SAE Control and Calibration Committee.

Rong Chen
Rong is the team lead of the Model Predictive Control Toolbox™ product. He joined MathWorks in 2004 as a senior developer for Control System Toolbox™, developing software tools to facilitate the design and analysis of control systems. His research interests include first principles–based plant modeling, multivariable controller design, and process simulation. Rong received his B.S. and M.S. degrees from the department of automation at Tsinghua University (China). He later received his Ph.D. in chemical engineering from the University of Maryland.

Die Arbeitsweise der folgenden Werkzeuge wird gezeigt

  • Model Predictive Control Toolbox

Aufgezeichnet: 26 Jul 2013