Midterm colloquium Gijs van Lookeren Campagne

18 February 2019 13:00 till 13:30 - Location: instruction room m, 3me - By: DCSC

"A Model Predictive Control based Evasive Manoeuvre Assist function"

Cars are slowly transitioning to computers on wheels. The ever-increasing processing power present in vehicles gives rise to the implementation of more advanced control systems. This increase in processing power not only allows for novel solutions to automated driving, but can also be used for advanced control systems aimed at collision avoidance. This thesis focuses an evasive manoeuvre assist function to avoid obstacles at the limit of handling using a model predictive control (MPC) approach. Vehicles at the limits of handling will typically operate in the nonlinear region of the tyre. Therefore a nonlinear MPC approach will be used. The main drawback of real-time nonlinear MPC has always been its computational burden. This thesis aims at exploring the limits of real-time nonlinear MPC.

Supervisor:
Dr.ir. M. Mazo