Partita IVA e codice fiscale: 00427620364
Seminar Announcement
September 27
Th, 2017 DIEF - P2.1 class – 11am
Prof. L. Del RE
Director of the Institute for Design and Control of Mechatronical Systems Johannes Kepler University, Linz, Austria.
https://desreg.jku.at/concrete5/index.php/staff/head-department/delreprofile
Joint design of model and control for automotive control
Automotive controls usually are based on very complex maps-based structures (a modern Diesel Engine Control Unit includes up to 40.000 labels, which can be scalar variables or maps) and are very difficult to tune. Against this background, very powerful on-line optimization tools like CAMEO have been developed, which automatize but not avoid the tuning effort. In recent years, an increasing trend in direction of model based control with reduced tuning effort has appeared, which still does not encompass the majority of the control function, but potentially could change the whole picture. At the JKU in cooperation with several partners, methods have been developed to approach the problem from a different perspective. Instead of fixing a control structure and tuning the parameters by some optimization method, a combination of a recursive nonlinear system identification and a nonlinear receding horizon optimal control approach which can directly use the parameters of the model has been fixed. The nonlinear identification is based on polynomial NARX models, and uses a combination of DOE based input design, parameter estimation and pruning to produce. The control part is based on a modification of the C/GMRES algorithm by T. Ohtsuka, which has been rewritten for input/output, time discrete nonlinear system and can thus use directly the result of the estimation. The method has been applied to several engines, in this presentation experimental results on a BMW 2.0 L engine will be shown in comparison with the production values and alternatives with other methods.
RE: Prof. Laura Giarré (laura.giarre@unimore.it)
