Title:
Automotive Model Predictive Control Models, Methods and Applications / edited by Luigi Re, Frank Allgöwer, Luigi Glielmo, Carlos Guardiola, Ilya Kolmanovsky.
Lecture Notes in Control and Information Sciences,
Lecture notes in control and information sciences,
Author:
Re, Luigi.
Allgöwer, Frank.
Glielmo, Luigi.
Guardiola, Carlos.
Kolmanovsky, Ilya.
SpringerLink (Online service)
General Notes:
Constrained Control Problems in Automotive Applications -- Part I: Alternatives for Modeling -- Overview -- KN Modeling -- Crankshaft Models -- Mean-value Models -- Data-based Engine Models -- Dynamical Emission Models -- DOE-based Models -- Hybrid Models -- Part II: Alternatives for Control -- Overview -- A Control View of Nonlinear Model Predictive Control -- Explicit Model Predictive Control -- Model Predictive Control with Guaranteed Real Time -- Nonlinear Model Predictive Control -- Part III: Applications -- Overview -- KN Control -- HCCI Models -- Idle Speed Control, Vehicle Implementation and Performance Comparison with Baseline -- Traction Control -- Diesel Control. Nonlinear Model Predictive Control for EGR/VGT -- An MPC-based Approach to Yaw Dynamics Control -- Model Predictive Control for Large Engines.
<p>The proceedings of the Automotive Model Predictive Control: Models, Methods and Applications workshop investigates whether constrained predictive control is reasonable in automotive control and what is necessary for its application. The workshop, held at the University of Linz on 9th – 10th February 2009 brought together workers from academia and industry from three key automotive branches: modeling, control and the application. The workshop included three keynote presentations, each of them contributing to the solution of an essential question.</p><p>• Which problems in automotive applications need constrained optimal control?</p><p>• Models of emissions for modern engines for model based control?</p><p>• Industrial methods and requirements for control schemes?The results of testing control strategies on a dynamical engine test bench give a feeling for the necessary computing power, the model plant mismatch, etc. and thus for the real application of control laws in production cars.</p>
Publisher:
Springer London,
Publication Place:
London :
ISBN:
9781849960717
Subject:
Engineering.
Engineering.
CONTROL.
Automotive Engineering.
Series:
Lecture Notes in Control and Information Sciences, 402
Lecture notes in control and information sciences, 402
Contents:
Constrained Control Problems in Automotive Applications -- Part I: Alternatives for Modeling -- Overview -- KN Modeling -- Crankshaft Models -- Mean-value Models -- Data-based Engine Models -- Dynamical Emission Models -- DOE-based Models -- Hybrid Models -- Part II: Alternatives for Control -- Overview -- A Control View of Nonlinear Model Predictive Control -- Explicit Model Predictive Control -- Model Predictive Control with Guaranteed Real Time -- Nonlinear Model Predictive Control -- Part III: Applications -- Overview -- KN Control -- HCCI Models -- Idle Speed Control, Vehicle Implementation and Performance Comparison with Baseline -- Traction Control -- Diesel Control. Nonlinear Model Predictive Control for EGR/VGT -- An MPC-based Approach to Yaw Dynamics Control -- Model Predictive Control for Large Engines.
Physical Description:
VIII, 312p. 152 illus. digital.
Electronic Location:
http://dx.doi.org/10.1007/978-1-84996-071-7
Publication Date:
2010.
Log in
Help
