Pregled bibliografske jedinice broj: 952145
Modelsko prediktivno upravljanje dinamikom vozila
Modelsko prediktivno upravljanje dinamikom vozila, 2018., diplomski rad, diplomski, Fakultet elektrotehnike i računarstva, Zagreb
CROSBI ID: 952145 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Modelsko prediktivno upravljanje dinamikom vozila
(Model predictive control of vehicle dynamics)
Autori
Švec, Marko
Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, diplomski
Fakultet
Fakultet elektrotehnike i računarstva
Mjesto
Zagreb
Datum
18.07
Godina
2018
Stranica
54
Mentor
Matuško, Jadranko
Ključne riječi
dinamika vozila ; modelsko prediktivno upravljanje ; aktivna sigurnost ; autonomno vozilo
(vehicle dynamics ; model predictive control ; active safety ; autonomous vehicle)
Sažetak
The main topic of this thesis is the development of an autonomous torque vectoring and steering system based on a model predictive control(MPC) algorithm for a linear time varying(LTV) vehicle model. The goal is to ensure good reference tracking, while fulfilling various physical and design constraints. At the beginning, an introduction to existing active safety systems, most common vehicle dynamics modelling approaches and the theory of model predictive control is given. Those chapters present an overview of the mathematical tools used to design the controller. The controller is then described in detail and its performance is tested for the same driving manoeuvre but for different prediction horizon lengths and different linearization approaches. Additionally, autonomously steered vehicle is compared to semi-autonomous vehicle in which the steering angle is determined by the driver. Simulation results are discussed and suggestions for improvement of the algorithm are given.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb