OPTEC - K.U.Leuven Center of Excellence: Optimization in Engineering

Two talks on Automotive MPC, with Coffee break in between at 3:45 pm.

15 h: "Model Predictive Control in Automotive Systems"

Prof. Riccardo Scattolini
Dipartimento di Elettronica e Informazione
Politecnico di Milano

This talk presents some applications of Model Predictive Control (MPC) to automotive systems. Specifically, gasoline, Diesel and hybrid fuel cell vehicles are considered. In the first part of the talk, a detailed gasoline engine model is described and it is shown how to perform the optimal tuning of the engine maps by solving a suitable static optimization problem. Then, the control scheme is complemented with an MPC regulator to enhance the overall performances. Alternative strategies are also proposed by resorting to a “mixed” scheme where linear MPC is used together with a state feedback linearizing regulator and a nonlinear state observer. The second part of the talk is devoted to present the model of a turbocharged Diesel engine and to discuss its main control problems as well as the possible application of MPC for control of the air path. Finally, MPC is applied to the power flow management in an hybrid fuel cell vehicle.

Slides

*** Coffee Break ***

16h: "Model Predictive Engine Control using an Extended Online Active Set Strategy"

Hans Joachim Ferreau
University of Heidelberg and K. U. Leuven

In order to meet tight emission limits diesel engines are nowadays equipped with additional hardware components like an exhaust gas recirculation valve and a variable geometry turbocharger. Conventional engine control units use SISO control loops to regulate the corresponding actuators, although their effects are highly coupled. Moreover, these  actuators are subject to physical constraints which seems to make an advanced control approach like model predictive control (MPC) mandatory. In order to deal with MPC sampling times in the order of milliseconds, we employed an extension of the recently developed online active set strategy (OASES) for closed-loop control of a real-world Diesel engine at the Institute for Design and Control of Mechatronical Systems in Linz (Austria). The results to be presented show that predictive engine control based on online optimisation can be accomplished in real-time and leads to increased controller performance.

Slides