Automotive Model Predictive Control
Models, Methods and Applications
Published on 11. March 2010
Book
Paperback/Softback
XIV, 290 pages
978-1-84996-070-0 (ISBN)
Description
Automotive control has developed over the decades from an auxiliary te- nology to a key element without which the actual performances, emission, safety and consumption targets could not be met. Accordingly, automotive control has been increasing its authority and responsibility - at the price of complexity and di?cult tuning. The progressive evolution has been mainly ledby speci?capplicationsandshorttermtargets,withthe consequencethat automotive control is to a very large extent more heuristic than systematic. Product requirements are still increasing and new challenges are coming from potentially huge markets like India and China, and against this ba- ground there is wide consensus both in the industry and academia that the current state is not satisfactory. Model-based control could be an approach to improve performance while reducing development and tuning times and possibly costs. Model predictive control is a kind of model-based control design approach which has experienced a growing success since the middle of the 1980s for "slow" complex plants, in particular of the chemical and process industry. In the last decades, severaldevelopments haveallowedusing these methods also for "fast"systemsandthis hassupporteda growinginterestinitsusealsofor automotive applications, with several promising results reported. Still there is no consensus on whether model predictive control with its high requi- ments on model quality and on computational power is a sensible choice for automotive control.
More details
Series
Edition
2010 ed.
Language
English
Place of publication
London
United Kingdom
Target group
Professional and scholarly
Research
Illustrations
152 s/w Abbildungen
XIV, 290 p. 152 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 19 mm
Weight
520 gr
ISBN-13
978-1-84996-070-0 (9781849960700)
DOI
10.1007/978-1-84996-071-7
Schweitzer Classification
Other editions
Additional editions
Luigi del Re | Frank Allgöwer | Luigi Glielmo
Automotive Model Predictive Control
Models, Methods and Applications
E-Book
03/2010
Springer
€160.49
Available for download
Persons
Content
Chances and Challenges in Automotive Predictive Control.- Chances and Challenges in Automotive Predictive Control.- I: Models.- On Board NOx Prediction in Diesel Engines: A Physical Approach.- Mean Value Engine Models Applied to Control System Design and Validation.- Physical Modeling of Turbocharged Engines and Parameter Identification.- Dynamic Engine Emission Models.- Modeling and Model-based Control of Homogeneous Charge Compression Ignition (HCCI) Engine Dynamics.- II: Methods.- An Overview of Nonlinear Model Predictive Control.- Optimal Control Using Pontryagin's Maximum Principle and Dynamic Programming.- On the Use of Parameterized NMPC in Real-time Automotive Control.- III: Applications.- An Application of MPC Starting Automotive Spark Ignition Engine in SICE Benchmark Problem.- Model Predictive Control of Partially Premixed Combustion.- Model Predictive Powertrain Control: An Application to Idle Speed Regulation.- On Low Complexity Predictive Approaches to Control of Autonomous Vehicles.- Toward a Systematic Design for Turbocharged Engine Control.- An Integrated LTV-MPC Lateral Vehicle Dynamics Control: Simulation Results.- MIMO Model Predictive Control for Integral Gas Engines.- A Model Predictive Control Approach to Design a Parameterized Adaptive Cruise Control.
There is a growing interest in applying model predictive control techniques to automotive systems, often for different reasons: the simple handling of constraints, the easy use of preview information or the flexibility of the method. Some long-standing problems with this approach, like the high computational burden, have been solved or at least substantially mitigated.Even so, many issues remain to be elucidated, and, at the same time, papers and results in the increasingly rich literature are not always comparable.Against this background, 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. Which problems in automotive applications need constrained optimal control? Models of emissions for modern engines for model based control? 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.