|SAVAIA GIANLUCA||Cycle: XXXIII |
Section: Systems and Control
Tutor: GARATTI SIMONE
Advisor: SAVARESI SERGIO MATTEO Major Research topic
:Modeling, Control and Automatic Calibration of a Semi-Active Suspension System for High-Performance CarsAbstract:
The main objective of this thesis consists in developing intelligent algorithms which can enhance the comfort of high-performance cars. This class of vehicles is equipped with cutting-edge technology, in terms of sensors and actuators, which is not yet fully exploited in its potential and has considerable leeway for scientific research. This thesis focuses on a semi-active suspension system which plays the main role among electronic controllers in shaping the desired vehicle dynamics, and it is responsible for the comfort and handling performance of the vehicle. The driver and the passengers are very sensitive to this system and it is therefore of utmost importance to have a good understanding of its building blocks in order to deliver the best possible performance. First, I ran testbench experiments on the damper and developed a control-oriented model which can describe its behavior. Then, I proposed a hierarchical control logic which can significantly improve performance in the control of the vertical dynamics of the vehicle with respect to state-of-the-art algorithms; the proposed logic has been validated on a sports-car and the performance evaluated subjectively by a professional test driver and objectively by means of the on-board sensing units. Finally, I investigated an automatic calibration framework based on advanced machine learning techniques which can find the optimal calibration of the control parameters directly on the vehicle via iterative experiments; the proposed methodology has been validated on a production vehicle equipped with a proprietary software, and it has been shown to rapidly converge to the optimal calibration within a few experiments.